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Data warehouse software News

June 24, 2021 24 Jun'21
Firebolt raises $127M to fuel cloud data warehouse efforts

Firebolt looks to grow in the cloud data warehouse market with a proprietary file format and a focus on enabling developers to build data-driven apps on top of cloud data lakes.
June 11, 2021 11 Jun'21
Speed, ease of use guide Snowflake approach to analytics

Fast-data cloud vendor Snowflake continues to expand its platform with capabilities that enable organizations to quickly and easily work with their data.
June 08, 2021 08 Jun'21
Snowflake expands cloud data warehouse platform to Snowpark

Snowflake customer Instacart, the online grocery giant, uses the Snowpark cloud data warehouse to list all its services in a data catalog to improve the user experience.
May 27, 2021 27 May'21
Google Datastream advances change data capture in the cloud

At Google's Data Cloud Summit, a new service released in preview to enable users to capture data from other sources to bring into Google's cloud data and analytics services.

Bring yourself up to speed with our introductory content

big data analytics

Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions. Continue Reading
Extract, Load, Transform (ELT)

Extract, Load, Transform (ELT) is a data integration process for transferring raw data from a source server to a data system (such as a data warehouse or data lake) on a target server and then preparing the information for downstream uses. Continue Reading
What is data management and why is it important?

Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Data warehouse vs. data lake: Key differences

Data warehouses and data lakes are both data repositories common in the enterprise, but what are the main differences between the two and which is best for your data? Continue Reading
Evaluating data warehouse platform options and your need for one

There's still a place for data warehouses in data architectures. But first, ask whether your organization needs one and what type of technology platform is the best fit. Continue Reading
Data warehouse technologies evolve as vendors look skyward

The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. Continue Reading

Learn to apply best practices and optimize your operations.

Should you host your data lake in the cloud?

On premises or in the cloud: What's the better place for your data lake? Here are some things to consider before deciding where to deploy a big data environment. Continue Reading
How data staging helped Walgreens transform its supply chain

Walgreens built a centralized data warehouse to give supply chain partners a better view into its data -- but analytics were slow. That's where a data staging tier came in. Continue Reading
How graph data modeling can help evaluate database tools

Mapping data to a graph model can be challenging, but these steps can help you create prototype applications -- which then can aid in evaluating graph databases. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Why data silos matter: Settling ownership of data issues

Data management is often still seen as an IT task, but that can lead to data silos. Find out why the business should be in charge of its data as part of a governance process. Continue Reading
Dimension tables vs. fact tables: What's the difference?

Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
Operational data store vs. data warehouse: How do they differ?

Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures. Continue Reading