Okera, which offers a centralized security, governance and access solution for data lakes and data warehouses, has announced support for data lakes on the Microsoft Azure cloud. While Amazon Web ...
Nowadays, organizations need to migrate and move data from the Oracle database to various data lakes, such as Microsoft Fabric and Snowflake. These data lakes are used in data analytics and by data ...
The first generation of Azure SQL Data Warehouse (SQL DW) was announced in 2015, and SQL DW "Gen 2" reached general availability in 2018. Today, at its Ignite confab on Orlando, Microsoft is ...
Attunity, a provider of data integration and big data management software solutions, has announced two new solutions: Attunity for Data Lakes on Microsoft Azure, designed to automate streaming data ...
Microsoft Corp. is adding to the data management capabilities of its Azure cloud with the launch today of two new services into general availability. Company officials said in a series of blog posts ...
Data lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data ...
Data continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data ...
Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...
As businesses continue to focus on leveraging Big Data, IT teams can prevent raw data from being siloed by gathering it into a central repository. Jennifer Zaino is a New York-based freelance writer ...
Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...
Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...
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