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Teach & Learn with MongoDB: Professor Abdussalam Alawini, University of Illinois at Urbana-Champaign

In this series of interviews, we talk to students and educators around the world who are using MongoDB to make their classes more engaging and relevant. By exploring their stories, we uncover how MongoDB’s innovative platform and resources are transforming educational landscapes and empowering the next generation of tech-savvy professionals. From creative teaching approaches to advanced classroom solutions, the MongoDB for Educators program can help you transform your classroom with cutting-edge technology and free resources. It can help you provide students with an interactive and dynamic learning environment that bridges the gap between theoretical knowledge and practical application. The program includes a variety of free resources for educators crafted by MongoDB experts to prepare learners with in-demand database skills and knowledge. Program participants have access to MongoDB Atlas credits, curriculum materials, certifications, and membership in a global community of educators from over 700 universities. From theory to practice: Hands-on MongoDB Teaching Professor Abdussalam Alawini is known for his creative use of MongoDB in his courses. He heavily uses MongoDB's free cluster to demonstrate MongoDB concepts during classes, and his students also use the free cluster for their projects, giving them hands-on experience with real-world applications. Currently, a Teaching Associate Professor at the University of Illinois Urbana-Champaign, Professor Alawini’s research interests span databases, applied machine learning, and education. He is particularly focused on applying machine learning methods to enhance classroom experiences and education. His work also includes developing next-generation data management systems, such as data provenance, citation, and scientific management systems. He recently received the U of I’s 2024 Campus Excellence in Undergraduate Education award, which highlights his commitment to teaching and the impact he’s had on his students. Professor Alawini is currently collaborating with colleagues on research to map how databases, data systems, data management, and related courses are taught in introductory computer science undergraduate courses worldwide. Professor Alawini’s story offers valuable insights for educators eager to enhance their teaching and prepare students for a tech-driven future. Check out how MongoDB Atlas has revolutionized his teaching by simplifying database deployment, management, and scaling, allowing students to focus more on learning MongoDB concepts. Tell us about your educational journey and what sparked your interest in databases. My educational journey began with a bachelor's degree in Computer Science from the University of Tripoli in 2002. I then spent over six years in the industry as a database administrator, lead software developer, and IT Manager. In 2011, I returned to academia and earned two master's degrees in Computer Science and Engineering and Technology Management from Portland State University, followed by a Ph.D. in Computer Science in 2016. Subsequently, I joined the University of Pennsylvania for a two-year postdoctoral training. My interest in databases was sparked during my time as a database administrator at PepsiCo, where I enjoyed maintaining the company's databases and building specialized reports to improve business operations. I was particularly fascinated by database systems’ ability to optimize queries and handle millions of concurrent user requests seamlessly. This experience led me to focus my doctoral studies on building data management systems for scientific applications. What courses are you currently teaching at the University of Illinois Urbana-Champaign? Currently, I teach Database Systems and Data Management in the Cloud courses at the University of Illinois Urbana-Champaign. In addition, I also teach a course to University High School students to introduce them to data management and database basics. My intention with teaching databases to high schoolers is to use data management as a gateway to lower entry barriers into computing fields for non-computer science students and to recruit underrepresented minorities to computing. What inspired you to start teaching MongoDB? I was inspired to start teaching MongoDB after seeing several surveys indicating that it is the most used database in web development and one of the leading document-oriented databases. MongoDB offers several unique features that set it apart from other databases, including the aggregation pipeline, which simplifies data processing and transformation. Additionally, MongoDB's flexible schema design allows for easier handling of unstructured data, and its horizontal scalability ensures robust performance as data volumes grow. These features make MongoDB an essential tool for modern web development, and I wanted to equip my students with the skills to leverage this powerful technology. How do you design your course content to effectively integrate MongoDB and engage students in practical learning? In all my data management courses, I focus on teaching students the concept of data models, including relational, document, key-value, and graph. In my Database Systems course, I teach MongoDB alongside SQL and Neo4J to highlight the unique features and capabilities of each data model. This comparative approach helps students appreciate the importance and applications of different databases, ultimately making them better data engineers. In my Data Management in the Cloud course, I emphasize the system's side of MongoDB, particularly its scalability. Understanding how MongoDB is built to handle large volumes of data efficiently provides students with practical insights into managing data in a cloud environment. To effectively integrate MongoDB and engage students in practical learning, I use a hybrid flipped-classroom approach. Students watch recorded lectures before class, allowing us to dedicate class time to working through examples together. Additionally, students form teams to work on various data management scenarios using a collaborative online assessment tool called PrairieLearn. This model fosters peer learning and collaboration, enhancing the overall educational experience. How has MongoDB supported you in enhancing your teaching methods and upskilling your students? I would like to sincerely thank MongoDB for Academia for the amazing support and material they provided to enhance my course design. The free courses offered at MongoDB University have significantly improved my course delivery, allowing me to provide more in-depth and practical knowledge to my students. I heavily use MongoDB's free cluster to demonstrate MongoDB concepts during classes, and my students also use the free cluster for their projects, which gives them hands-on experience with real-world applications. MongoDB Atlas has been a game-changer in my teaching methods. As a fully managed cloud database, it simplifies the process of deploying, managing, and scaling databases, allowing students to focus on learning and applying MongoDB concepts without getting bogged down by administrative tasks. The flexibility and reliability of MongoDB Atlas make it an invaluable tool for both educators and students in the field of data management. Could you elaborate on the key findings from your ITiCSE paper on students' experiences with MongoDB and how these insights can help other educators? In my ITiCSE paper, we conducted an in-depth analysis of students' submissions to MongoDB homework assignments to understand their learning experiences and challenges. The study revealed that as students use more advanced MongoDB operators, they tend to make more reference errors, indicating a need for a better conceptual understanding of these operators. Additionally, when students encounter new functionalities, such as the $group operator, they initially struggle but generally do not repeat the same mistakes in subsequent problems. These insights suggest that educators should allocate more time and effort to teaching advanced MongoDB concepts and provide additional support during the initial learning phases. By understanding these common difficulties, instructors can better tailor their teaching strategies to improve student outcomes and enhance their learning experience. What advice would you give to fellow educators who are considering implementing MongoDB in their own courses to ensure a successful and impactful experience for their students? Implementing MongoDB in your courses can be highly rewarding. Here’s some advice to ensure success: Foundation in Data Models: Teach MongoDB alongside other database types to highlight unique features and applications, making students better data engineers. Utilize MongoDB Resources: Leverage support from MongoDB for Academia, free courses from MongoDB University, and free clusters for hands-on projects. Practical Learning: Use MongoDB Atlas to simplify database management and focus on practical applications. Focus on Challenges: Allocate more time for advanced MongoDB concepts. Address common errors and use tools like PrairieLearn that capture students' interactions and learning progress to identify learning patterns and adjust instruction. Encourage Real-World Projects: Incorporate practical projects to enhance skills and relevance. Continuous Improvement: Gather feedback to iteratively improve course content and share successful strategies with peers. MongoDB is always evolving so make sure to stay tuned with their updates and new features. These steps will help create an engaging learning environment, preparing students for real-world data management. Apply to MongoDB for Educators program and explore free resources for educators crafted by MongoDB experts to prepare learners with in-demand database skills and knowledge.

July 10, 2024

Empowering Aspiring Developers in Africa: The MongoDB, MyTechDev Partnership

It's been nearly a year since the announcement of the partnership between MongoDB University and MyTechDev (Dev-Net), marking a significant milestone in empowering African developers with practical coding skills and enterprise technology pathways. This partnership aims to certify 500 people in Nigeria, South Africa, Kenya, and Egypt, aligning with the rising demand for skilled software developers globally. “At MongoDB, we love developers and are pleased to provide free, on-demand educational content for new learners and professional developers who want to expand their existing skill sets on the learning platform of their choice,” said Raghu Viswanathan, Vice President, Education, Documentation, and Academia at MongoDB. One of the remarkable outcomes of this collaboration is showcased in a recent video from MyTechDev (Dev-Net), where students share their experiences with MongoDB. Through hands-on learning facilitated by MyTechDev (Dev-Net) and free on-demand courses on MongoDB University , these students not only gained technical expertise but also found a supportive community that encouraged them through challenges, paving the way for future career aspirations and entrepreneurial ventures. The MyTechDev (Dev-Net) students' testimonials reflect the impact of accessible education and industry partnerships in fostering innovation and career opportunities in technology. By equipping individuals with in-demand skills like MongoDB proficiency, this collaboration addresses the skills gap. It fuels the ambitions of aspiring developers across Africa, promising a brighter future for the tech ecosystem on the continent. Investing in education isn't just about boosting opportunities; it's about saving lives. A recent study in The Lancet Public Health says what many have long suspected: education significantly impacts health outcomes. Regardless of age, gender, or socio-economic status, every year of schooling reduces mortality by 2%. This finding is particularly pertinent in sub-Saharan Africa, home to the world's youngest population, 70% under 30, and a GDP lagging far behind. Many of these young people face dire circumstances, with poverty and lack of resources hindering their access to education. The MongoDB for Academia program provides free resources for students and educators to make the most of MongoDB. The program also offers students MongoDB Atlas credits and free certification through the GitHub Student Developer Pack. These benefits are available globally, allowing students to enter the workforce with industry-relevant skills and certifications. To learn more, students and educators can register for the MongoDB for Students or MongoDB for Educators programs.

May 8, 2024

New Atlas Administrator Learning Path and Certification

Say hello to MongoDB’s newest education addition—the MongoDB Atlas Administrator Path , your guide to successfully prepare for and pass the new Associate Atlas Administrator certification ! This is the second certification and learning path we launched in 2024, a testament to our unwavering dedication to helping developers validate their skills. Certifications offer concrete evidence of expertise, bolstering credibility and marketability to employers. Thousands of developers have reaped the benefits of being MongoDB certified! Unlock your potential: Follow the learning path to success The new MongoDB Atlas Administrator Path will guide you through the foundations of MongoDB Atlas, the multi-cloud developer data platform. You'll learn to quickly get up and running with a free MongoDB Atlas Cluster. Additionally, this path will cover the basic steps for creating, securing, monitoring, and administering a new cluster using both the UI and CLI. Upon completing the learning path, not only will you feel prepared to take the certification exam, but you'll also automatically unlock a 50% discount on the exam. What’s more, the new Associate Atlas Administrator certification is designed to validate a candidate's mastery and competence, demonstrating their proficiency as a MongoDB Atlas Administrator. Once certified, you're equipped to effectively administer MongoDB Atlas, implement security measures, optimize performance, and manage version upgrades with confidence. MongoDB’s certifications hold the official seal of recognition from the worldwide tech community, affirming and validating your MongoDB expertise. These certifications aren't just pieces of paper—they're powerful catalysts for propelling your career to new heights and boosting your appeal to future employers. According to the Microsoft Certification Program Satisfaction Study, 91% of hiring managers report certification as an important criterion for hiring. As a certified pro, you'll have the opportunity to showcase your accomplishments with pride, gaining visibility in the Credly Talent Directory and earning a distinctive Credly badge that sets you apart from the crowd. But you don’t just take our word for it. Samuel Molling, MongoDB certified as an Associate DBA, Associate Developer, and Associate Data Modeler, has benefited firsthand from MongoDB certifications: “As soon as I got my first DBA certification, I received an exciting offer from a company to be a MongoDB specialist with a very attractive salary,” he said. “The company found me through MongoDB's certificates page (Credly Talent Directory). Due to the certifications, I acquired a lot of experience, grew my network, and received offers from both national and international companies. I managed to close contracts with clients for my company, and this gives me more and more visibility.“ Having a technical certification is invaluable in today's competitive job market, showcasing expertise and dedication to professional growth. Our decision to create a tailored learning path for our customers came from the belief in equipping developers with the tools necessary to succeed. As evidenced by Samuel's testimonial, obtaining a certification can be a game-changer, opening up new opportunities and advancing one's professional trajectory. Do you ever feel stuck and unsure of where to start? Look no further! Dive into MongoDB's free online educational resources for hands-on learning, quizzes, and labs. Elevate your skills with our new learning path and certification tailored to boost your Atlas Admin expertise. Get started now!

May 6, 2024

Five Languages, One Goal: A Developer's Path to Certification Mastery

MongoDB Community Creator Markandey Pathak has become a certified developer in five different programming languages: C#, Java, Node.JS, PHP, and Python. Pursuing multiple certifications equips developers with a diverse skill set, making them invaluable team members. Fluency across different programming languages enables them to foster platform-agnostic solutions and promote adaptability, collaboration, and informed decision-making, which are crucial for success in the global tech landscape. To understand what led Markandey to take on so many certifications while managing a busy and successful career, we spoke with him to gain insights into the challenges and triumphs he faced. What motivated you to pursue certification in multiple programming languages, and how has achieving such a diverse set of skills impacted your career? C was the first programming language I learned, followed by C# and the .NET ecosystem a few years later. Transitioning to a new language like C# after knowing one was straightforward. I then delved into ASP.NET, JAVA, and subsequently PHP. Despite the differing syntax of these languages, I found that fundamental programming concepts remained consistent. This enlightening realization led me to explore JavaScript and, later, Python. Such a diverse skill set made me a go-to resource for many senior leaders seeking insights. This versatility allowed me to transcend categorization based on programming ecosystems in the workplace, evolving my mindset to develop platform-agnostic solutions. I believe in the adage of being a jack of all trades while still mastering one or more. I took on the challenge of discovering MongoDB drivers available for various platforms. I created sample applications to practice basic MongoDB concepts using specific drivers, and soon, everything fell into place effortlessly. What tips or advice would you share with someone who looks up to your achievement and aspires to become a certified developer in multiple languages like C#, Java, Node.JS, PHP, and Python? How can they effectively approach learning and mastering these languages? Before attempting proficiency in MongoDB across multiple languages, it's crucial to prioritize understanding fundamental concepts such as data modeling practices, CRUD operations, and indexes. Mastering MongoDB's shell, MongoSh, is essential to grasp the workings of MongoDB's read and write operations. Following this, individuals should select a programming environment they're most adept in and practice executing MongoDB operations within that ecosystem. Constructing a personal project can aid in practically observing various MongoDB concepts in action. Utilizing resources such as MongoDB Certification Learning Paths , practice tests, and MongoDB Documentation is vital for excelling in certification exams. Additionally, it's advisable to undertake the initial certification in the programming language one feels most comfortable with. Reflection is key; saving or emailing exam scores enables individuals to identify areas needing improvement for future attempts. With proficiency in C#, Java, Node.JS, PHP, and Python, how do you perceive the role of versatility in today's tech industry, especially regarding job opportunities and project flexibility? Programming languages, very much like spoken languages, are merely a medium. The most important thing is knowing what to say. The tech industry depends on problems, and developers seek solutions to them. Once they have a solution, programming languages help make those solutions a reality. It’s not hard to learn different programming languages or even to master them. Knowing the basics of different programming ecosystems can give developers an edge regarding job opportunities. It makes them flexible and enables them to make crucial and informed decisions in choosing the correct tech stack or defining good architecture for solutions. In your experience, how does fluency in multiple languages enhance collaboration and innovation within development teams, particularly in today's globalized tech landscape? Fluency or even practical awareness about programming languages or ecosystems promotes versatility in problem-solving, facilitates cross-functional collaboration, supports agile development, enables integration with legacy systems, fosters global collaboration, reduces dependency, and empowers informed decision-making, all of which are crucial for staying competitive in today's globalized tech landscape. As a MongoDB Community Creator, how do you leverage your expertise in these five languages to contribute to and engage with the broader tech community? What advice would you offer aspiring developers seeking to expand their skill set? I aim to open-source my MongoDB-focused projects across various ecosystems, accompanied by detailed articles outlining their construction. Since these projects were designed with exams in mind, they serve as skill-testing tools for developers and comprehensive guides to the various components comprising certification exams. I advocate for developers to choose a favorite language and compare others to it, as this approach facilitates a quicker and more efficient understanding of concepts. Relating new information to familiar concepts makes learning easier and more effective. The MongoDB Community Advocacy Program is a vibrant global community designed for MongoDB enthusiasts who are passionate about advocating for the platform. Our Community Creators Program welcomes members of all skill levels eager to deepen their involvement in advancing MongoDB's community and technology. We empower our members to expand their expertise, visibility, and leadership by actively engaging with and advocating for MongoDB technologies among users worldwide. Join us and amplify your impact within the MongoDB community! Elevate your career with MongoDB University 's 1,000+ learning assets. Access free courses and hands-on labs, and earn certifications to boost your skills and stand out in tech.

April 24, 2024

New Data Modeling Learning Path and Certification

This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . Data modeling is a crucial part of software development. It's what gives structure to the data so that it can be analyzed, used to make decisions, and built into useful applications. It can be complex and challenging, especially when you're juggling performance and maintainability. But here's the good news: a well-designed data model can boost your app's performance. That's why we've put together a new learning path and certification to help you level up your data modeling skills. Whether you're a seasoned developer looking to deepen your understanding or a newcomer eager to learn, this content is designed to give you the tools you need to create efficient and effective data models. Let's dive in and start building better apps together. Deep dive into data modeling with MongoDB The new free, online MongoDB Data Modeling Path will help you build your knowledge from the ground up and prepare you for the certification exam. The curated sequence of videos, hands-on labs, and quizzes provides you with a guided journey to learning data modeling at your own pace. The learning path will show you a step-by-step method for creating effective data models. You'll learn how to identify entities and workloads, map relationships, and when to embed or reference them. In addition, you'll learn different schema design patterns, how to recognize and address MongoDB anti-patterns, and the basics of schema lifecycle management. And, here's a little something extra: Once you complete the learning path, you'll automatically score a 50% discount on the new certification ! Learn fast, certify faster With an extensive array of new educational resources on data modeling for MongoDB, we are thrilled to introduce our new credential, the MongoDB Associate Data Modeler certification , which will allow you to validate and showcase your expertise in the field. Our certifications are officially recognized by professional institutions, validating and acknowledging your MongoDB expertise. They're a valuable asset for advancing in your role and enhancing your marketability for future positions. Certified individuals earn bragging rights, inclusion in the Credly Talent Directory , and a distinguished Credly badge, making it easy to share your achievements. The MongoDB Associate Data Modeler certification is designed for experienced users. Candidates should have some familiarity with JSON, and the MongoDB Query API , including aggregations and data modeling on MongoDB. You should also understand the tradeoffs of simplicity versus performance of data modeling techniques. This certification attests to your competency in designing, building, and evolving effective data models in MongoDB, and incorporating data governance into your work. Explore MongoDB’s new learning path and certification designed to elevate and validate your data modeling skills.

March 20, 2024

Nouveau parcours d’apprentissage et certification en modélisation des données

La modélisation des données est un élément crucial du développement logiciel. C’est ce qui structure les données afin qu’elles puissent être analysées, utilisées pour prendre des décisions et intégrées dans des applications utiles. Le processus peut être complexe et difficile, surtout lorsque vous jonglez avec les performances et la maintenabilité. Cependant, un modèle de données bien conçu peut améliorer les performances de votre application. C’est pourquoi nous avons élaboré un nouveau parcours de formation et une nouvelle certification pour vous aider à améliorer vos compétences en modélisation des données. Que vous soyez un développeur expérimenté souhaitant approfondir ses connaissances ou un novice désireux d’apprendre, ce contenu vous fournira les outils dont vous avez besoin pour créer des modèles de données efficaces et performants. Allons-y et commençons à créer ensemble de meilleures applications. Plongez au cœur de la modélisation des données avec MongoDB Le nouveau parcours de modélisation des données MongoDB en ligne et gratuit vous aidera à développer vos connaissances à partir de zéro et à vous préparer à l’examen de certification. La séquence organisée de vidéos, d’ateliers pratiques et de questionnaires vous propose un parcours guidé pour apprendre à modéliser les données à votre propre rythme. Le parcours d’apprentissage vous montrera une méthode étape par étape pour créer des modèles de données efficaces. Vous apprendrez à identifier les entités et les charges de travail, à cartographier les relations et à déterminer quand les intégrer ou les référencer. De plus, vous apprendrez différents modèles de conception de schéma, comment reconnaître et traiter les anti-modèles MongoDB, ainsi que les bases de la gestion du cycle de vie des schémas. Et voici un petit plus : une fois que vous aurez terminé le parcours d’apprentissage, vous bénéficierez automatiquement d’une réduction de 50 % sur la nouvelle certification  ! Apprenez vite, qualifiez-vous plus vite Avec une vaste gamme de nouvelles ressources pédagogiques sur la modélisation des données pour MongoDB, nous sommes ravis de vous présenter notre nouvelle certification, la certification MongoDB Associate Data Modeler , qui vous permettra de valider et de mettre en valeur votre expertise du domaine. Nos certifications valident et reconnaissent votre expertise MongoDB et sont officiellement reconnues par les institutions professionnelles. Elles sont un atout précieux pour progresser dans vos fonctions et améliorer votre employabilité pour de futurs postes. Pour mettre en avant leurs compétences et faire connaître leurs réalisations, les personnes certifiées sont incluses dans le répertoire des talents Credly et obtiennent un badge Credly distingué. La certification MongoDB Associate Data Modeler est conçue pour les utilisateurs expérimentés. Les candidats doivent avoir une certaine maîtrise de JSON et de MongoDB Query API , y compris des agrégations et de la modélisation des données sur MongoDB. Vous devez également comprendre les compromis entre la simplicité et la performance des techniques de modélisation des données. Cette certification atteste de vos compétences dans les domaines de la conception, du développement et de l’évolution de modèles de données efficaces dans MongoDB, ainsi que de l’intégration de la gouvernance des données dans votre travail. Découvrez le nouveau parcours d’apprentissage et la nouvelle certification de MongoDB conçus pour améliorer et valider vos compétences de modélisation des données.

March 20, 2024

Neuer Lernpfad und Zertifizierung zur Datenmodellierung

Die Datenmodellierung ist ein entscheidender Bestandteil der Softwareentwicklung. Sie strukturiert die Daten so, dass diese analysiert, für Entscheidungen genutzt und in nützliche Anwendungen eingebaut werden können. Das kann ein komplexer und anspruchsvoller Vorgang sein, vor allem dann, wenn man ein gutes Gleichgewicht zwischen Leistung und Wartungsfreundlichkeit schaffen will. Die gute Nachricht: Ein clever durchdachtes Datenmodell kann die Leistung Ihrer Anwendung steigern. Aus diesem Grund haben wir einen neuen Lernpfad und eine Zertifizierung entwickelt, die Ihnen helfen, Ihre Datenmodellierungskenntnisse zu erweitern. Ob erfahrener Entwickler, der sein Wissen vertiefen möchte, oder Neuling, der etwas hinzulernen möchte – diese Inhalte sollen Ihnen die Werkzeuge an die Hand geben, um effiziente und effektive Datenmodelle zu erstellen. Lassen Sie uns gleich loslegen und gemeinsam bessere Apps entwickeln. Mehr Einblick in die Datenmodellierung mit MongoDB Der neue kostenlose Online-Pfad zur MongoDB-Datenmodellierung hilft Ihnen, sich Wissen von Grund auf anzueignen und sich auf die Zertifizierungsprüfung vorzubereiten. Die sorgfältig ausgewählten Videos, praktischen Übungen und Wissensfragen führen Sie durch die Lernthemen zur Datenmodellierung, die Sie im eigenen Tempo bearbeiten können. Der Lernpfad erläutert schrittweise, wie Sie effektive Datenmodelle erstellen. Sie erfahren, wie Sie Instanzen und Workloads identifizieren und Beziehungen zuordnen und wann Sie diese einbetten oder referenzieren müssen. Darüber hinaus lernen Sie verschiedene Schema-Entwurfsmuster kennen, erfahren, wie Sie MongoDB-Anti-Muster erkennen und beheben und eignen sich die Grundlagen des Schema-Lebenszyklusmanagements an. Und hier noch ein kleines Extra: Sobald Sie den Lernpfad abgeschlossen haben, erhalten Sie automatisch einen Rabatt von 50 % auf die neue Zertifizierung ! Schnell lernen, schneller zertifizieren Mit umfangreichem neuem Lernmaterial zur Datenmodellierung für MongoDB freuen wir uns, Ihnen unsere neue Zertifizierung vorzustellen, mit der Sie Ihr Fachwissen auf diesem Gebiet validieren und präsentieren können: die MongoDB Associate Data Modeler -Zertifizierung. Unsere Zertifizierungen sind von professionellen Institutionen offiziell anerkannt und validieren und bestätigen Ihre MongoDB-Expertise. Sie sind besonders hilfreich, um in Ihrer Rolle voranzukommen und Ihre Marktfähigkeit für künftige Positionen zu verbessern. Zertifizierte Personen können ihre Leistungen stolz vorzeigen, werden in das Credly-Talentverzeichnis aufgenommen und erhalten ein spezielles Credly-Abzeichen, mit dem sie ihre Leistungen ganz einfach nachweisen können. Die MongoDB Associate Data Modeler-Zertifizierung richtet sich an erfahrene Benutzer. Die Kandidaten sollten mit JSON und der MongoDB Query API vertraut sein und Aggregationen und die Datenmodellierung auf MongoDB bereits kennen. Sie sollten auch wissen, dass bei Datenmodellierungstechniken Kompromisse zwischen Unkompliziertheit und Leistung auftreten. Diese Zertifizierung bescheinigt Ihre Kompetenz im Entwerfen, Erstellen und Weiterentwickeln effektiver Datenmodelle in MongoDB und in der Einbeziehung von Daten-Governance in Ihre Arbeit. Entdecken Sie den neuen Lernpfad und die Zertifizierung von MongoDB, um Ihre Datenmodellierungskenntnisse zu verbessern und zu validieren.

March 20, 2024

Nueva ruta de aprendizaje y certificación de modelado de datos

El modelado de datos es una parte crucial del desarrollo de software. Es lo que da estructura a los datos para que puedan analizarse, usarse para tomar decisiones e integrarse en aplicaciones útiles. Puede ser complejo y difícil, sobre todo cuando hay que compaginar rendimiento y mantenimiento. Pero aquí está la buena noticia: un modelo de datos bien diseñado puede aumentar el rendimiento de tu app. Por eso creamos una nueva ruta de aprendizaje y una certificación para ayudarle a mejorar sus conocimientos de modelado de datos. Tanto si eres un desarrollador experimentado que busca profundizar en sus conocimientos como si eres un recién llegado con ganas de aprender, este contenido está diseñado para proporcionarte las herramientas que necesitas para crear modelos de datos eficientes y eficaces. Sumerjámonos y empecemos a crear mejores aplicaciones juntos. Sumérjase en el modelado de datos con MongoDB El nuevo MongoDB Data Modeling Path gratuito y en línea le ayudará a construir sus conocimientos desde la base y le preparará para el examen de certificación. La secuencia curada de videos, laboratorios prácticos y cuestionarios le proporciona un viaje guiado para aprender modelado de datos a su propio ritmo. La ruta de aprendizaje le mostrará un método paso a paso para crear modelos de datos efectivos. Aprenderá a identificar entidades y cargas de trabajo, mapear relaciones y cuándo incrustarlas o referenciarlas. Además, aprenderá diferentes patrones de diseño de esquemas, cómo reconocer y abordar los antipatrones de MongoDB y los conceptos básicos de la administración del ciclo de vida del esquema. Y, aquí hay algo extra: una vez que complete la ruta de aprendizaje, ¡obtendrá automáticamente un 50 % de descuento en la nueva certificación ! Aprenda rápido, certifíquese más rápido Con una amplia gama de nuevos recursos educativos sobre modelado de datos para MongoDB, estamos encantados de presentar nuestra nueva credencial, la certificación MongoDB Associate Data Modeler , que le permitirá validar y mostrar su experiencia en el campo. Nuestras certificaciones están oficialmente reconocidas por instituciones profesionales, validando y reconociendo su experiencia en MongoDB. Son un activo valioso para progresar en su puesto y mejorar su capacidad de comercialización para futuros puestos. Las personas certificadas obtienen el derecho a presumir, la inclusión en el Directorio de Talentos de Credly y una distinguida insignia de Credly, lo que facilita compartir sus logros. La certificación MongoDB Associate Data Modeler está diseñada para usuarios experimentados. Los candidatos deben estar familiarizados con JSON y la MongoDB Query API , incluidas las agregaciones y el modelado de datos en MongoDB. También debe comprender las ventajas y desventajas de la simplicidad frente al rendimiento de las técnicas de modelado de datos. Esta certificación acredita su competencia en el diseño, la creación y la evolución de modelos de datos eficaces en MongoDB, así como en la incorporación de la gobernanza de datos a su trabajo. Explore la nueva ruta de aprendizaje y certificación de MongoDB diseñada para elevar y validar sus habilidades de modelado de datos.

March 20, 2024

Nuovo percorso di apprendimento e certificazione sulla creazione di modelli di dati

La creazione di modelli di dati è una parte fondamentale dello sviluppo dei software. È ciò che dà struttura ai dati in modo che possano essere analizzati, utilizzati per prendere decisioni e integrati in applicazioni utili. Può essere complesso e impegnativo, soprattutto quando ci si deve destreggiare tra prestazioni e manutenibilità. Ma ecco la buona notizia: un modello di dati ben progettato può migliorare le prestazioni della tua app. Ecco perché abbiamo creato un nuovo percorso di apprendimento e certificazione per aiutarti a migliorare le tue competenze per la creazione di modelli di dati. Che tu sia uno sviluppatore esperto che desidera approfondire le proprie conoscenze o un principiante desideroso di imparare, questo contenuto è progettato per fornirti gli strumenti necessari per creare modelli di dati efficienti ed efficaci. Immergiamoci e iniziamo a creare insieme app migliori. Immersione profonda nella creazione di modelli di dati con MongoDB Il nuovo MongoDB Data Modeling Path , gratuito e online, ti aiuterà a sviluppare le tue competenze da zero e a prepararti per l'esame di certificazione. La sequenza curata di video, laboratori pratici e quiz ti offre un viaggio guidato per apprendere come creare modelli di dati secondo i tuoi ritmi. Il percorso di apprendimento ti mostrerà un metodo passo passo per creare modelli di dati efficaci. Imparerai come identificare entità e carichi di lavoro, mappare le relazioni e quando incorporarli o fare riferimento a essi. Inoltre, apprenderai diversi pattern di schema design, come riconoscere e affrontare gli anti-pattern MongoDB e le basi della gestione del ciclo di vita dello schema. E c'è un piccolo extra: una volta completato il percorso di apprendimento, otterrai automaticamente uno sconto del 50% sulla nuova certificazione ! Impara velocemente, certifica ancora più velocemente Con una vasta gamma di nuove risorse didattiche sulla creazione di modelli di dati per MongoDB, siamo entusiasti di presentare la nostra nuova certificazione, ovvero la MongoDB Associate Data Modeler , che ti consentirà di convalidare e mostrare la tua esperienza nel campo. Le nostre certificazioni sono ufficialmente riconosciute da istituti professionali e possono convalidare e certificare le tue competenze con MongoDB. Sono una risorsa preziosa per progredire nel tuo ruolo e per migliorare le tue possibilità di ottenere posizioni lavorative future. Le persone che conseguono la certificazione ottengono un motivo di vanto, l'inclusione nella Credly Talent Directory e un distintivo Credly, che rende facile condividere i propri risultati. La certificazione MongoDB Associate Data Modeler è pensata per utenti esperti. I candidati devono avere una certa familiarità con JSON e la MongoDB Query API , comprese le aggregazioni e la creazione di modelli di dati su MongoDB. È inoltre necessario comprendere i compromessi tra semplicità e prestazioni delle tecniche di modellazione dei dati. Questa certificazione attesta la tua competenza nella progettazione, nella creazione e nel miglioramento di modelli di dati efficaci in MongoDB e nell'incorporare la governance dei dati nel tuo lavoro. Esplora il nuovo percorso di apprendimento e certificazione di MongoDB progettato per elevare e convalidare le tue capacità di creazione di modelli di dati.

March 20, 2024

Novo caminho de aprendizagem e certificação em modelagem de dados

A modelagem de dados é uma parte importante do desenvolvimento de software. É o que dá estrutura aos dados para que eles possam ser analisados, usados para tomar decisões e incorporados à aplicações úteis. Isso pode ser complexo e desafiador, especialmente quando você está conciliando desempenho e manutenção. Mas aqui está a boa notícia: um modelo de dados bem-desenvolvido pode aumentar o desempenho da sua aplicação. Por isso, criamos um novo caminho de aprendizagem e certificação para ajudar a aprimorar suas habilidades de modelagem de dados. Seja você um desenvolvedor experiente que deseja aprofundar seu conhecimento ou um novato com vontade de aprender, este conteúdo foi desenvolvido para fornecer as ferramentas necessárias para criar modelos de dados eficazes e eficientes. Vamos mergulhar de cabeça e começar a criar aplicações melhores juntos. Aprofunde-se na modelagem de dados com o MongoDB O novo caminho gratuito e on-line para a modelagem de dados do MongoDB ajudará você a desenvolver seu conhecimento desde o início e a se preparar para o exame de certificação. A sequência selecionada de vídeos, laboratórios práticos e testes oferece uma jornada guiada para você aprender modelagem de dados no seu próprio ritmo. O caminho para o aprendizado mostrará um método passo a passo para criar modelos de dados eficazes. Você aprenderá a identificar entidades e cargas de trabalho, mapear relacionamentos e quando incorporá-los ou fazer referência a eles. Além disso, você aprenderá diferentes padrões de design de esquemas, como reconhecer e abordar os antipadrões do MongoDB e os fundamentos do gerenciamento do ciclo de vida do esquema. E aqui está um pequeno detalhe extra: depois de concluir o caminho de aprendizagem, você receberá um desconto de 50%, automaticamente, na nova certificação ! Aprenda rápido, obtenha o certificado mais rápido ainda Com uma gama ampla de novos recursos educacionais sobre modelagem de dados para o MongoDB, temos o prazer de apresentar nossa nova credencial, a certificação Associate Data Modeler do MongoDB , que permitirá que você valide e demonstre sua experiência na área. Nossas certificações são reconhecidas oficialmente por instituições profissionais, validando e reconhecendo sua experiência com o MongoDB. Elas são um ativo valioso para avançar na sua função e aumentar sua capacidade de comercialização para cargos futuros. Os indivíduos certificados ganham seus méritos, são incluídos no Talent Directory da Credly e recebem uma identificação da Credly, o que facilita o compartilhamento das suas conquistas. A certificação Associate Data Modeler do MongoDB foi criada para usuários experientes. Os candidatos devem ter alguma familiaridade com JSON e MongoDB Query API , incluindo agregações e modelagem de dados no MongoDB. Você também deve entender as vantagens e desvantagens da simplicidade em relação ao desempenho das técnicas de modelagem de dados. Essa certificação atesta sua competência em projetar, criar e desenvolver modelos de dados eficazes no MongoDB e incorporar a governança de dados no seu trabalho. Explore o novo caminho de aprendizagem e certificação do MongoDB desenvolvido para elevar e validar suas habilidades em relação a modelagem de dados.

March 20, 2024

새로운 데이터 모델링 학습 경로 및 자격증

데이터 모델링은 소프트웨어 개발의 중요한 부분입니다. 데이터 모델링은 데이터를 분석하고 의사 결정에 사용하며 유용한 애플리케이션에 구축할 수 있도록 데이터에 구조를 제공합니다. 이는 복잡하고 어려울 수 있으며, 성능과 유지 관리를 동시에 처리하려고 할 때는 더욱 그렇습니다. 하지만 좋은 소식이 있습니다. 잘 설계된 데이터 모델이 앱 성능을 향상할 수 있다는 것입니다. 이것이 바로 데이터 모델링 기술을 향상하는 데 유리한 새로운 학습 경로와 자격증을 마련한 이유입니다. 이 콘텐츠는 더 깊은 이해를 원하는 노련한 개발자든, 학습에 열의가 있는 초보자든, 효율적이고 효과적인 데이터 모델을 만드는 데 필요한 도구를 제공하도록 설계되었습니다. 그럼 함께 더 나은 앱을 만들어 보겠습니다. MongoDB를 사용한 데이터 모델링에 대해 자세히 알아보세요 새로운 무료 온라인 MongoDB 데이터 모델링 과정을 통해 기초부터 지식을 쌓고 자격증 시험을 준비할 수 있습니다. 엄선된 동영상, 실습 랩, 퀴즈를 통해 자신의 속도에 맞춰 데이터 모델링을 학습할 수 있는 안내 과정을 제공합니다. 학습 경로에서는 효과적인 데이터 모델을 만드는 단계별 방법을 보여 줍니다. 엔터티와 워크로드를 식별하는 방법, 관계를 매핑하는 방법, 그리고 이 둘을 포함하거나 참조하는 시기를 알아봅니다. 또한 다양한 스키마 디자인 패턴, MongoDB 안티 패턴을 인식하고 해결하는 방법, 스키마 수명 주기 관리의 기본 사항을 학습합니다. 그리고 여기에 약간의 추가 혜택이 있습니다. 학습 경로를 완료하면 자동으로 새 자격증에 대해 50% 할인을 받을 수 있습니다! 빠르게 배우고, 더 빠르게 인증하세요 MongoDB 데이터 모델링에 대한 광범위한 새로운 교육 리소스와 함께, 이 분야의 전문성을 검증하고 보여줄 수 있는 새로운 자격증인 MongoDB Associate Data Modeler 자격증을 소개하게 되어 매우 기쁘게 생각합니다. 전문 기관에서 공식적으로 인정하는 MongoDB 자격증은 귀하의 MongoDB 전문 지식을 검증하고 인정합니다. 이러한 자격증은 자신의 직무를 발전시키고 향후 직책에 대한 시장성을 강화하는 데 귀중한 자산입니다. 자격증을 소지한 개인은 자랑스럽게 자격증을 선보일 권리를 얻게 되고, Credly Talent Directory 에 포함되며, 유명한 Credly 배지를 획득하여 자신의 성과를 손쉽게 공유할 수 있습니다. MongoDB Associate Data Modeler 자격증은 숙련된 사용자를 위해 고안되었습니다. 응시자는 MongoDB의 집계 및 데이터 모델링을 포함하여 JSON 및 MongoDB Query API 에 어느 정도 익숙해야 합니다. 또한 데이터 모델링 기술의 단순성과 성능의 장단점을 이해해야 합니다. 이 자격증은 MongoDB에서 효과적인 데이터 모델을 설계, 구축, 발전시키고 데이터 거버넌스를 업무에 통합하는 역량을 입증합니다. 데이터 모델링 기술을 향상하고 검증하도록 설계된 MongoDB의 새로운 학습 경로 와 자 격증 을 살펴보세요.

March 20, 2024


数据建模是软件开发的关键部分。 这为数据提供结构,以便可以对其进行分析、用于决策并内置到实用应用程序中。 这可能很复杂,也很有挑战性,尤其是当您要兼顾性能和可维护性时。 但好消息是:精心设计的数据模型可以提高应用程序的性能。 因此,我们推出了新的学习路径和认证,帮助您提高数据建模技能。 无论您是希望加深理解的资深开发者,还是渴望学习的新手,本内容都将为您提供创建高效 Realm 数据模型所需的工具。让我们一起开始构建更好的应用程序。 深入了解使用 MongoDB 进行数据建模 新的免费在线 MongoDB 数据建模路径将帮助您从头开始构建知识,并为认证考试做好准备。 精心设计的视频、动手实验室和测验序列将引导您按照自己的节奏学习数据建模。 学习路径将向您展示创建有效数据模型的分步方法。 您将学会如何识别实体和工作负载、映射关系以及何时嵌入或引用。 此外,您还将学习不同的架构设计模式、如何识别和解决 MongoDB 反模式以及架构生命周期管理的基础知识。 此外,这里还有额外的小惊喜:完成学习路径后, 您将自动获得新认证的 50% 折扣 ! 快速学习,快速认证 凭借大量有关 MongoDB 数据建模的新教育资源,我们很高兴推出新证书,即 MongoDB Associate Data Modeler 认证,这将使您能够验证和展示您在该领域的专业知识。 我们的认证得到专业机构的正式认可,是对您的 MongoDB 专业知识的验证和认可。 这是您晋升职位和提高未来职位市场竞争力的宝贵财富。 通过认证的个人可以向他人夸耀,列入 Credly 人才目录,并获得一枚杰出的 Credly 徽章,轻松分享您的成就。 MongoDB Associate Data Modeler 认证专为有经验的用户而设计。 考生应熟悉 JSON 和 MongoDB Query API ,包括 MongoDB 的聚合和数据建模。您还应该了解数据建模技术在简单性与性能之间的权衡。 该认证证明您能够在 MongoDB 中设计、构建和演进有效的数据模型,并将数据管理纳入您的工作。 探索 MongoDB 的新 学习路径 和 认证 ,旨在提升和验证您的数据建模技能。

March 20, 2024