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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.

Database 100
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Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Data Engineering Weekly

I spoke with Jark Wu , who leads the Fluss and Flink SQL team at Alibaba Cloud, to understand its origins and potential. Jark is a key figure in the Apache Flink community, known for his work in building Flink SQL from the ground up and creating Flink CDC and Fluss. Architecture Difference The first difference is the Data Model.

Kafka 75
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Spotter: Your AI Analyst

ThoughtSpot

The built-in AI automatically explains why something is changing without waiting for analyst support or complex SQL queries. One of the complexities of real-life business questions is that the information required to do the analysis or calculation doesnt always exist as a simple database column.

BI 59
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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.

Data Lake 147
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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

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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. We’ll discuss what a sample architecture might look like for each. and inject those additional fields into the event.

Kafka 40
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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. It has no effect on the actual data stored in the database. 7) Describe the Azure Synapse Analytics architecture.