Coding NoSQL Pipeline-centric Software Engineering 
Grouparoo
OCTOBER 6, 2021
This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Test system with A/A test.
Knowledge Hut
DECEMBER 26, 2023
Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the role of a Data Engineer? Data scientists and data Analysts depend on data engineers to build these data pipelines.
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Knowledge Hut
JULY 26, 2023
Features: Data Storage (Relational) Cloud Code Functions APIs (GraphQL and REST) File Storage Pros: Great documentation CLI tool Graphql support Cons: Need to learn a lot to get started The cloud code is in javascript not typescript 2. It doesn't have anything else other than source code repositories hosting.
Confluent
SEPTEMBER 25, 2019
Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. These applications are all what software engineers call “CRUD” apps.
Databand.ai
DECEMBER 29, 2022
Follow Priya on LinkedIn 6) Niv Sluzki Director of Engineering at Databand Niv is dedicated to solving data health and data quality issues for code-intensive data engineering teams. She is a member of several tech advisory boards, a data mesh founder, author, and speaker.
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