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Modern Customer Data Platform Principles

Data Engineering Podcast

Summary Databases and analytics architectures have gone through several generational shifts. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises.

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

Data Engineering Podcast

By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more.

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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Can you describe what is driving the adoption of real-time analytics? Can you describe what is driving the adoption of real-time analytics?

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Data Engineering Weekly #107

Data Engineering Weekly

link] Sponsored: Build SQL Pipelines. With Upsolver SQLake, you build a pipeline for data in motion simply by writing a SQL query defining your transformation. The author shares one such experience where all the A/B experiment analytics can build on top of the basic SQL queries. Not Endless DAGs!

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Azure Data Engineer Interview Questions -Edureka

Edureka

It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. Data entry into PDW is optimized by Polybase, which also supports T-SQL. 7) Describe the Azure Synapse Analytics architecture.

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Snowflake Data Mesh: Ensure Reliable Data with Data Observability

Monte Carlo

But one thing’s for sure: if you can’t trust the data powering your analytics architecture, it’s hard to justify the investment. The Snowflake elastic performance engine allows teams to work in their language of choice (SQL, Java, Python, or a mix) as they power pipelines, reporting, applications, or exploration.

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How to Use KSQL Stream Processing and Real-Time Databases to Analyze Streaming Data in Kafka

Rockset

In this post, I’ll discuss some common real-time analytics use-cases that we have seen with our customers here at Rockset and how different real-time analytics architectures suit each of them. It’s important to also note that while Kafka is quite powerful, there are many things it self-admittedly is not.

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