The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.

"It's a false assumption that you need to choose between a [data lake] and [data warehouse]," Grab analytics lead data scientist Zulfikar Lazuardi said. Speaking as part of the virtual 2021 Databricks ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Fivetran, the company best known for helping enterprises build their data pipelines, on Tuesday announced the general availability of its newest product, the Fivetran Managed Data Lake Service. The ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

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 ...

Databricks is open sourcing Delta Lake to counter criticism from rivals and take on Apache Iceberg as well as data warehouse products from Snowflake, Starburst, Dremio, Google Cloud, AWS, Oracle and ...

Atlassian today announced the launch of its new data lake and Atlassian Analytics, a front end for its data lake that will allow its customers to easily query all of the data they have stored across ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

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