August 2021 Summaries

Talía Ayala-Feliciangeli, a rising senior at Georgia Tech, has spent two summers working remotely as a Product Design Intern at MongoDB. She was drawn to the company's openness and supportiveness regarding immigration logistics for international students, which made her feel valued and encouraged throughout the interview process. As a return intern, Talía found that she could start the summer with existing knowledge of how different teams and processes work, making it easier to connect with stakeholders and feel more confident in her work. Her team provided significant support virtually, including regular check-ins and creating spaces for feedback, which helped her grow professionally. Talía appreciates MongoDB's collaborative culture, where everyone is friendly, encouraging, and willing to share knowledge or just chat. She enjoys having ownership over her work and the freedom to decide how to approach projects, which has been an incredible learning opportunity.

This summer, Elena Chen, a rising senior at the University of California, Berkeley, spent her internship at MongoDB's New York City office, where she was part of the company's renowned professional development program. She found incredible support from her mentor and enjoyed community in Underrepresented Genders in Tech (UGT), an affinity group provided by MongoDB for interns from underrepresented groups. Elena worked on a project building Evergreen's new Waterfall page, which will enhance MongoDB engineers' user experience, and learned valuable skills such as GraphQL queries, schemas, and resolver functions. She also credited her mentor with boosting her confidence and the UGT program with providing a community of mentors who offered guidance and support throughout her internship. Elena emphasized that everyone at MongoDB wants her to succeed and provided her with resources and support from day one, making her decision to intern at MongoDB a positive one.

Julian Storz, a former Solutions Architect turned Enterprise Account Executive at MongoDB, grew his career by leveraging his passion for technology, problem-solving, and entrepreneurship. He joined the company after meeting Anton Rau, Regional Director at the time, through a chance encounter at a wine tasting event in 2018. Julian's journey from presales to sales was facilitated by close coaching from Regional Directors, training sessions, and a supportive team culture that emphasizes personal growth and performance. As part of his role, he has been involved in various initiatives, including a field marketing campaign that resulted in the creation of a MongoDB Lego set designed in his likeness. Julian's story highlights the opportunities for career growth at MongoDB, where employees can transform their careers by growing in the direction they want, and join an open-minded culture with strong leadership, growth prospects, and market opportunities.

MongoDB Atlas offers a versatile document database that allows engineering organizations to build sophisticated applications that adapt to changing customer demands and market trends. Studio 3T's SQL Migration tool simplifies the process of migrating data from legacy SQL relational databases to MongoDB Atlas, making it reliably repeatable and easier to perfect the new schema. Hackolade's schema design and data modeling tools complement Studio 3T by allowing developers to design their migration first, visually reassemble the SQL fields to compose the MongoDB document schema, and then implement with confidence. The combination of these tools enables complex migrations to be performed easily, without requiring team-breaking chores, making it possible to perfect the new schema as often as needed.

MongoDB's Green Team is an employee-led affinity group focused on sustainability and environmental responsibility, which began in April 2020 with a goal of driving the company towards becoming a sustainable, social, and environmentally responsible business. The team has made significant progress through education initiatives such as webinars and workshops, and data collection efforts to track the company's carbon footprint. Green Team also collaborates with climate partners like Watershed to calculate their carbon footprint and develop a comprehensive climate strategy. With over 250 members globally, the team is committed to executing its plans and strategies for reducing the company's environmental impact in the coming year. The group aims to incorporate sustainability into every aspect of the business, from product development to office selection, and has received strong support from executive sponsors and stakeholders, both internally and externally.

Ojima Abraham, a rising junior at Franklin & Marshall College, is working as a self-taught software engineering intern at MongoDB's New York City office. He has been grateful to find meaningful work and lasting friendships on the Atlas Core team, where he works on projects that make it to production. Ojima credits the supportive culture of MongoDB, with its positive, uplifting, inclusive, and caring environment, as a perfect fit for him. He praises the campus recruiting team and his mentors, who have been instrumental in helping him learn and grow throughout the internship. Ojima's self-taught roots have also influenced his experience, giving him confidence to tackle unfamiliar tasks and fostering a growth mindset. Overall, he has had an incredibly positive experience at MongoDB, citing the people as his favorite part of being part of the community.

The article demonstrates how to move data from Oracle to MongoDB using Apache Kafka, Confluent Oracle CDC Connector, and MongoDB Connector for Apache Kafka. The process involves configuring a self-contained Docker environment with Oracle Database, MongoDB, Apache Kafka, and Confluent KSQL. The Oracle database is configured to use the Confluent Oracle CDC Connector, which captures changes to the database and sends them to Apache Kafka. The MongoDB Connector for Apache Kafka consumes the events from Kafka and writes them to MongoDB. The process also includes creating a Kafka topic, configuring the Oracle CDC Connector, setting up KSQL data flows, and writing data to Oracle. The article provides step-by-step instructions and resources for getting started with this process.

This summer, Sophia Li, a rising senior at the University of Waterloo, worked remotely as a software engineering intern on MongoDB's DevHub Platform Team. She was drawn to the company's wide range of teams and flexible work options. Working on building out MongoDB's Developer Hub, Sophia found meaningful support from her professional community despite working remotely from Canada. Her team provided guidance and resources, including mentorship and code reviews, which helped her learn new technologies and develop as an engineer. Through regular check-ins and social events, Sophia stayed connected with her colleagues and peers, making remote work feel less isolating and lonely. The experience has given her a higher level of independence and autonomy, allowing her to enhance her time management skills and enjoy a fun project that motivates her to come to work every day.

The digital transformation of industry has been focused on the Internet of Things (IoT) for over a decade. As AI and machine learning technology matured, AIoT emerged as a new field that combines these trends by applying AI to IoT data. Bosch, an industrial giant, is pioneering this space with smart products that have built-in intelligence or "swarm intelligence" in their back end. The company's focus on AIoT has led to its need for a flexible and modern data platform like MongoDB, which allows it to adapt quickly without schema redesigns. To progress AIoT technology, Bosch created the AIoT User Group, an initiative that brings together end users and technology experts to share best practices and co-create solutions. The group aims to add agility to AIoT while maintaining control, allowing for continuous improvement of system performance.

MongoDB Atlas is a fully managed, multi-cloud document database that provides users with the versatility to build sophisticated applications that can respond and adapt to changing customer demands and market trends. The company has partnered with Accenture to deliver digital transformation solutions using MongoDB Atlas and Accenture Cloud First. Three use cases for cloud modernization are building out APIs for modern application development, moving from monolith to microservice for modernization, and offloading from legacy or mainframe systems. These scenarios aim to accelerate the journey to the cloud and release gridlock from old business applications. MongoDB's document-based database provides users with flexibility to build sophisticated applications that can respond to changing customer demands and market trends. Accenture Cloud First is a multi-service group of 70,000 cloud professionals across the globe that brings together the full power and breadth of Accenture's industry and technology capabilities to help move organizations to the cloud with greater speed and achieve greater value, faster. The partnership between MongoDB and Accenture aims to enable customers to realize their digital transformation goals and provide them with the foundation necessary to innovate.

While non-relational alternatives to relational databases have gained popularity over the past decade, many users are still evaluating their options. A key consideration is the data model, with MongoDB popularizing the document model that supports a wide variety of applications. The document model allows for indexing and querying in any field and natural mapping to objects in modern programming languages. Recent shifts in mobile application development highlight two new considerations: how a database handles data generated at the edge by mobile devices and how it fits into a broader data platform that includes search, real-time, and analytics. A unified data platform can provide a streamlined interface for serving multiple types of applications, eliminating duplicated data silos and ETL pipelines.