January 2023 Summaries

The Cosmos DB SQL interface is being migrated to MongoDB Atlas, a cloud-based database service that supports multiple models, including the SQL interface. This migration involves both application refactoring and data migration from Cosmos DB to MongoDB Atlas, with the current tool set having limitations in terms of zero downtime requirements. To address these concerns, PeerIslands has developed a COSMOS SQL migrator tool that provides near-zero downtime capabilities through change data capture, using tools such as Kafka and KSQL to handle ongoing changes during the migration process. The tool offers a GUI-based interface for managing the entire migration process, making it easier for customers to migrate their applications without any downtime or disruptions.

MongoDB has significantly invested in enhancing its performance testing infrastructure to ensure its software consistently improves with each release, employing automated systems to detect and address performance changes early. Initially, the company faced challenges in accurately interpreting performance data due to run-to-run variation, which led to the adoption of change point detection techniques to better identify performance alterations. This initiative was bolstered by contributions from interns and academic collaborations, leading to improved algorithms and shared industry insights. MongoDB's approach emphasizes community engagement, as demonstrated by its public sharing of research papers and participation in academic collaborations to refine performance regression detection. Additionally, MongoDB announced a leadership transition, with Dev Ittycheria retiring as CEO and Chirantan "CJ" Desai stepping in, highlighting the company's strategic planning and commitment to future growth. The transition is framed as a necessary step for MongoDB to continue its evolution and capitalize on emerging opportunities, such as the rise of AI and data-intensive applications.

The new Aggregation Pipeline Text Editor in MongoDB Compass provides users with a free-form text editor to write aggregations, offering flexibility and convenience for those who prefer not to use the guided builder. This feature allows users to see the entire pipeline at once, stay in the flow while writing aggregations, copy and paste aggregations from other tools, and use built-in syntax formatting. The Aggregation Pipeline Text Editor also previews the final pipeline output, making it easier to work with complex queries. Users can access both the traditional builder and the new text editor from within the Aggregations tab in Compass and switch between views without losing their work.

Modernizing core banking systems is critical for banks to stay competitive and adapt to new business models. According to McKinsey & Company, a "flexible back end" is essential for this. The current market offers two potential solutions: the core banking platform and suite, which are inflexible and result in vendor lock-in. A new approach, composable ecosystems, is being adopted by some financial institutions, consisting of distinct independent services and functions that can incorporate "best-of-breed" functionality without major integration challenges. MongoDB's developer data platform is well-suited for building a composable core banking ecosystem, comprising JSON, BIAN, MACH, and data domains. Companies such as Temenos and Current have utilized MongoDB's capabilities to deliver innovative services and improve performance, leveraging its flexibility, scalability, and strong security features. A composable ecosystem offers greater flexibility and adaptability than traditional legacy systems, making it a powerful choice for driving innovation in the financial sector.

MongoDB offers various ways for users to gain product knowledge, get certified, and advance their careers through its University, Developer Center, instructor-led training, resources, and events. The MongoDB University provides courses, learning paths, and certifications in a variety of content types and programming languages, while the Developer Center houses tutorials, videos, community forums, and code examples. Instructor-led training is also available for teams or individuals to learn at their own pace, with options for public or private courses. Additionally, resources such as blogs, podcasts, and coding documentation are available to provide thought leadership and learning opportunities. MongoDB events, including conferences and workshops, offer hands-on learning experiences and the chance to meet other users, allowing developers to build their skills and advance their careers.

Hydrus is a software platform that enables enterprises to collect, store, report, and act on their environmental, social, and governance data. The platform offers a user-friendly interface and auditing capabilities to ensure the integrity of ESG data over time. Hydrus leverages MongoDB's document model for flexibility and scalability, and uses MongoDB Charts for data visualization, enabling its Fortune 200 clients to derive insights from ESG data and improve their operational efficiency. The company aims to streamline data collection, reporting, and auditing processes to help organizations focus on decarbonization and meeting sustainability goals.

Banks are expected to modernize their IT investments in 2023 to remain competitive, with a focus on digital transformation and innovative technologies that break down data silos. Composable architecture designs allow for faster innovation, improved operational efficiency, and new revenue streams by orchestrating strategic partnerships with fintechs and software providers. Operational efficiency will also be key, with automation of manual processes using robotic process automation, machine learning, and artificial intelligence to streamline processes and free up workforce capacity. Additionally, there is growing pressure on financial institutions to provide ESG data and report on their sustainability efforts, requiring modern data platforms that can consolidate different types of data from various providers. The digital payments market is also expected to continue growing, with a focus on creating personalized, secure, and real-time payment experiences. Finally, security and risk management will be critical, with the adoption of next-generation data platforms necessary to manage costs, maximize security, and foster innovation.

Startups in 2022 were able to transform the way people live, learn, and work, with data playing a critical role in delivering transformative experiences. The increasing importance of data access versus data governance is creating a conflict that startups are working to solve, with solutions like Satori enabling organizations to accelerate their data use while ensuring compliance with security and privacy requirements. Additionally, startups are leveraging technologies like IoT, AI, VR, and NLP to deliver game-changing solutions for application developers and users, such as Qubitro's IoT solution and Concured's AI-powered marketing platform. Low- and no-code platforms like Alloy Automation and Thunkable are also helping entrepreneurs breathe life into their ideas without access to developer talent. The MongoDB for Startups program is supporting these startups with free credits, technical advice, co-marketing opportunities, and access to a vast partner network.

The Bosch Connected Experience (BCX) hackathon is an annual event where developers from around 45 countries come together to create solutions for various problems, including improving sustainability in commercial building operations and facility management. MongoDB participated in this year's event and helped one of the winning teams build their solution on top of MongoDB Atlas. The team, led by Jonas Bruns, used MongoDB Atlas to develop an augmented reality (AR) application that improves the user experience of smart devices, allowing users to control connected lights in a smart building using AR. The team found MongoDB Atlas easy to use and intuitive, with features such as triggers and preconfigured code examples making it simple to integrate with their frontend and avoid errors. They also appreciated the ability to create different users with access rights, eliminating the need for another server to communicate with smart devices. Jonas and his team plan to continue using Atlas in future projects due to its ease of use and versatility.

The MongoDB Connector for Apache Kafka version 1.9 introduces several key features, including support for pre and post document states, which allows for retrieving the before and after state of an entire document. This enables more accurate change event data to be included in the change stream event. Additionally, a new parameter called `startup.mode` has been added, allowing users to start processing data at a specific point in time or copy existing data first. The connector also now reports MongoDB errors to the dead letter queue, and changes behavior on inferring schema for arrays with different data type values. These updates aim to improve the accuracy and reliability of the connector's operations.

The latest TDWI Modernization Report highlights the progress made by IT departments in modernizing their organizations. Organizations have successfully migrated legacy applications to the cloud, achieved 24/7 operations, and improved user satisfaction with data provisioning capabilities. However, despite these wins, organizations are still struggling with getting more value from their data, particularly when it comes to artificial intelligence, machine learning, and predictive intelligence. Additionally, traditional search functionality is a major challenge, as many users are dissatisfied with the ability to easily search for data using natural language. To overcome these challenges, the report emphasizes the importance of moving towards cloud-based data platforms that make data more accessible while governing access to sensitive information.

MongoDB has been recognized as one of the Best Places to Work in 2023 by Glassdoor, based on employee feedback and reviews shared anonymously on the platform. The company's culture is valued for its openness, inclusiveness, and respect, with employees praising the supportive team environment and exceptional benefits. Senior leaders are also commended for their strong leadership and vision for the company's growth. With a focus on innovation and disruption in the NoSQL technology sector, MongoDB is now hiring for 2023 and invites talented individuals to join its mission-driven team.

Build Analytics-Driven Apps with MongoDB Atlas and the Microsoft Intelligent Data Platform` is an article that explores how enterprises can leverage the partnership between MongoDB and Microsoft to build more engaging, analytics-driven applications. The integration of MongoDB Atlas with the Microsoft Intelligent Data Platform offers a seamless way to run analytics and data warehousing operations on operational data stored in MongoDB Atlas. This allows customers to easily apply insights gleaned from data warehouse, business intelligence (BI), and related solutions to their operational data stores. The partnership also enables customers to use Power BI for BI reporting and visualization, as well as Microsoft Purview for enterprise data governance requirements. The integration provides a unified interface for developers to build distributed, serverless, and mobile applications with support for diverse workload types, including operational, real-time analytics, and search. Additionally, the partnership offers a single platform for databases, analytics, and data governance by integrating Azure database services, Azure Synapse Analytics for data warehousing and analytics, Power BI for BI reporting, and Microsoft Purview for enterprise data governance requirements.

MongoDB is a data solution that can help retailers break down silos and deliver omnichannel experiences by providing a flexible, scalable, and secure data mesh approach. The traditional legacy architecture of multiple off-the-shelf products running on legacy data technologies creates complex, siloed data architectures that underpin application architecture, making it difficult to combine this data to serve omnichannel use cases. A data mesh approach combines intentionally distributed data across distinctly defined, bounded contexts, serving all real-time workloads required by the business, including operational and real-time analytical workloads. MongoDB can meet these requirements with its expressive query language, performance, speed, search capabilities, mobile interaction support, and distributed architecture, making it an ideal choice for retailers looking to implement a data mesh approach to unlock their omnichannel potential.

MongoDB has been named a Leader in the 2022 Gartner Magic Quadrant for Cloud Database Management Systems, recognizing its capabilities in providing a unified developer data platform that offers flexibility, scalability, and ease of use. The company's focus on cloud-native solutions and multi-cloud clusters enables organizations to deploy their applications across multiple clouds simultaneously, reducing complexity and improving data mobility. With the addition of comprehensive analytics support and SQL capabilities, MongoDB is expanding its product vision to cater to a broader range of use cases. The company's rapid adoption in the past decade and its move to cloud have been highlighted as strengths by Gartner, acknowledging MongoDB's placement as a Leader in this Magic Quadrant.

Securing Multi-Cloud Applications with MongoDB Atlas` examines the challenges associated with securing multi-cloud applications and explores how MongoDB Atlas can help mitigate these risks. Three key security challenges are identified: complexity due to varying security protocols across cloud providers, contributing factors such as time constraints and employee turnover, and misconfigurations resulting in human error. To address these challenges, MongoDB Atlas provides a secure by default architecture with minimal configuration required, centralizing and simplifying multi-cloud security controls. It also supports compatibility with leading security technologies and managers, encrypts data both in transit and at rest, and offers tools such as Queryable Encryption to protect sensitive information. By using MongoDB Atlas, teams can simplify their security needs and enjoy a streamlined, secure multi-cloud experience.

Mobile devices constantly experience coverage issues, leading to conflicts between edits made on devices while offline and data being processed on backend systems. This requires conflict resolution to ensure data integrity. A robust mobile backend as a service (MBaaS) solution can help synchronize mobile data with backend systems, enabling real-time collaboration and decision-making. However, building such a solution in-house can be challenging due to the complexity of conflict resolution and local data persistence. An integrated MBaaS solution like MongoDB's Atlas Device Sync combined with Realm can simplify this process, providing automatic refreshes when connections are reestablished and handling complex synchronization problems automatically.

Today, MongoDB released version 10.1 of the MongoDB Spark Connector, a tool that enables users to stream data between Apache Spark and MongoDB. The new release introduces microbatch streaming support, allowing for more efficient writes to destinations like Amazon S3 storage. Additionally, it provides increased control over write behavior with a new configuration parameter for upserts, as well as support for BSON types, enabling users to leverage different data types within their Spark applications.

Sharding is a critical part of modern databases that allows for horizontal scaling, spreading data and traffic across multiple machines. It enables scalability beyond physical limitations by distributing data and workloads proportionally to the number of servers added. Sharding works by specifying a shard key, which partitions data into various shards, and using balancers to ensure each shard contains roughly the same amount of data. While sharding is necessary for handling increased demand, it also poses challenges such as unevenly distributed workloads and latency issues. To optimize shards for faster queries, users must select critical shard keys with high cardinality, plan and prepare their data structures, and use compound shard keys to reduce query bottlenecks.

Zero Trust will be a Critical Practice for Security Professionals in 2023` is a security-focused discussion by MongoDB Chief Information Security Officer Lena Smart and tech legend Dwight Merriman. The IT security landscape has become increasingly complex, with hackers using various attack vectors to breach systems. As a result, security professionals face significant challenges in defending against sophisticated threats. Merriman emphasizes the importance of controlling what can be trusted and verifying access to company data at all times. He advocates for the Zero Trust model, which involves implementing three core principles: never trust, always verify; provide the least amount of privilege possible; and apply network segmentation. Additionally, MongoDB has developed queryable encryption, a groundbreaking form of security that enables organizations to encrypt sensitive data while still allowing for expressive queries on the encrypted data. This technology extends the Zero Trust concept by adding an extra layer of security for data in use.