Data engineering has become an indispensable function in most software engineering organizations today. Data engineering as a discipline has broadened to encompass all practices, systems, and architectures involved in storing and serving data for a myriad of needs. From OLTP systems that power user experiences to the analytics systems that power business & user insights to all of the connective tissue that keeps data consistent between these systems, data engineers have their hands full managing complex systems and architectures. The promise of the modern data stack was to simplify these architectures to reduce the operational burden many of us still wrestle with today. But, what really works? Which technologies and practices live up to their promises? What patterns and technologies have stood the test of time? What are some pitfalls that you need to be aware of? Come to this track to learn from data engineers facing & solving these problems today.
From this track
Building High-Fidelity Data Streams
Low latency data streaming technology and practices remain a hot and trending topic among data engineers today. At its core, it promises to deliver data in near real time in order to provide snappy data-driven user experiences.

Sid Anand
Chief Architect and Head of Engineering @Datazoom
Change Data Capture for Microservices
Microservices represent complex business domains in the form of loosely coupled systems, but these don't exist in isolation: services need to propagate data changes amongst each other, in a reliable and scalable way.

Gunnar Morling
Senior Staff Software Engineer @Decodableco
DynamoDB Transactions
NoSQL cloud database services are popular for their simple key-value operations, high availability, high scalability, and predictable performance.

Akshat Vig
Principal Engineer NoSQL databases @awscloud
Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage
For real-time analytics, you need systems that can provide ultra low latency (milliseconds) and extremely high throughput (hundreds of thousands of queries per second).

Neha Pawar
Founding Engineer @StarTree
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