Data warehouse software

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Databases vs. Data Warehouses vs. Data Lakes vs. Data Marts

This cheat sheet will help you better understand how each repository differs based on the type, purpose and quality of data. Plus, you’ll get an introduction to the features of data catalog software, a user-friendly metadata management system.

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Data warehouse software News

June 02, 2020 02 Jun'20
Snowflake expands cloud data warehouse capabilities

Snowflake is building out its platform with new integrations to enable users to more easily connect to different data sources, including Salesforce Einstein Analytics.
February 25, 2020 25 Feb'20
Databricks Data Ingestion Network brings data to lakehouse

Databricks Ingest entered a public preview in a move by Databricks to enable a lakehouse that combines the best features of the data lake and data warehouse models.
February 11, 2020 11 Feb'20
Snowflake raises $479 million to boost cloud data warehouse

Snowflake is looking to grow its data warehouse platform with new funding and a partnership with Salesforce that could differentiate its platform from rivals.
September 25, 2019 25 Sep'19
Cloudera Data Platform gives big data users multi-cloud path

Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.

Data warehouse software Get Started

Bring yourself up to speed with our introductory content

big data analytics

Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make... 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

Evaluate Data warehouse software Vendors & Products

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

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
Future of MongoDB could be brighter than other NoSQL engines

Top NoSQL database MongoDB, once thought of as a revolution in data management, has come back to Earth some, but it still has a chance to stay ahead of competitors. Continue Reading

Manage Data warehouse software

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

Problem Solve Data warehouse software Issues

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