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A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

Singlestore aims to cut down on the number of database engines that you need to run so that you can reduce the amount of copying that is required. By supporting fast, in-memory row-based queries and columnar on-disk representation, it lets your transactional and analytical workloads run in the same database.

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A Prequel to Data Mesh

Towards Data Science

When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well. Organizations began to use relational databases for ‘everything’.

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5 Can't Miss MongoDB.live Talks

Rockset

Shrey Batra comes from LinkedIn and Innovaccer, two companies with particularly data-intensive products, so I'm really interested to hear what type of real-time analytics architectures he's had experience with that employ MongoDB Change Streams. And a bonus talk.

MongoDB 40
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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Another common breaking schema change scenario is when data teams sync their production database with their data warehouse as is the case with Freshly. When there is a schema change in our production database, Fivetran automatically rebuilds or materializes the new piece of data in a new table. ” 36.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Another common breaking schema change scenario is when data teams sync their production database with their data warehouse as is the case with Freshly. When there is a schema change in our production database, Fivetran automatically rebuilds or materializes the new piece of data in a new table. ” 36.