Apache Kafka is an open-source distributed event streaming platform used for high-performance data pipelines and streaming analytics with real-time to near real-time capabilities. There are many on-premises Apache Kafka implementations for various mission-critical applications.
Today we’re excited to announce another great release of SynapseML v0.10.0 (Previously MMLSpark), an open-source library that aims to simplify the creation of massively scalable machine learning pipelines.
Azure Synapse Analytics is a limitless analytics service that brings together enterprise data warehousing and Big Data Analytics. It gives you the freedom to query data on your terms at scale using Synapse SQL. Dedicated SQL pools in Azure Synapse Analytics are powerful massively parallel processing (MPP) distributed query engine which offers enterprise data warehousing capabilities for workloads with predictable performance and cost. This Massively parallel processing (MPP) engine uses a node-based architecture to optimize the quick execution of the most complex queries on large volumes of data.
In May 2022 we announced the first version of Synapse Analyzer Report that will help you with table, index, and statistics information and report issues on these topics.
There has been confusion for a while when it comes to Microsoft Docs and the two distinct sets of documentation for dedicated SQL pools. When you do an internet search for a Synapse related doc and land on Microsoft Docs site, the left-hand navigation has a toggle switch between two sets of documentation.
Striim Cloud is hosted on Azure and is fully managed by Striim for data streaming use cases like low latency, near real-time replication, data transformation, and loading large volume of data to Azure Synapse for real-time analytics.
For more information, view the blog here: August 2022 | Microsoft Azure Synapse Analytics Blog | Microsoft Azure Synapse
Contact us today for a more in-depth conversation around Azure Synapse.