Data warehouse software

New & Notable

Download this free guide

Machine Learning Meets Data Quality

Read an exclusive interview with Andrew Burt, chief privacy offer and legal engineer at Immuta Inc., on data governance and machine learning integration. Plus, uncover steps IT managers are taking to improve data quality in their big data environments in order to ensure analytics accuracy.

Corporate E-mail Address:
You forgot to provide an Email Address.
This email address doesn’t appear to be valid.
This email address is already registered. Please login.
You have exceeded the maximum character limit.
Please provide a Corporate E-mail Address.
- I agree to TechTarget’s Terms of Use, Privacy Policy, and the transfer of my information to the United States for processing to provide me with relevant information as described in our Privacy Policy.
Please check the box if you want to proceed.
- I agree to my information being processed by TechTarget and its Partners to contact me via phone, email, or other means regarding information relevant to my professional interests. I may unsubscribe at any time.
Please check the box if you want to proceed.

Data warehouse software News

January 22, 2019 22 Jan'19
New Teradata CEO pursues cloud-based architecture

Cloud architecture, analytics and AI data processing are top innovation priorities for new Teradata CEO Oliver Ratzesberger. He talks about his goals in this Q&A.
August 29, 2018 29 Aug'18
Talend tool targets Azure data integration for analytics use

Talend released software that does bulk data uploads to Microsoft's Azure SQL Data Warehouse. The goal is to streamline data integration and support real-time analytics.
July 27, 2018 27 Jul'18
BigQuery ML moves machine learning into Google BigQuery

Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
December 01, 2017 01 Dec'17
AWS graph database Amazon Neptune sets sail at re:Invent 2017

After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.

View All News

Data warehouse software Get Started

Bring yourself up to speed with our introductory content

data mart (datamart)

A data mart is a repository of data that is designed to serve a particular community of knowledge workers. Continue Reading
big data analytics

Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make... Continue Reading
SAP BW (Business Warehouse)

SAP Business Warehouse (BW) is a model-driven data warehousing product based on the SAP NetWeaver ABAP platform. Continue Reading

View All Get Started

Evaluate Data warehouse software Vendors & Products

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

Cloud data warehouse makes inroads as users spurn admin tasks

Overlooked in the run-up to Hadoop, data warehouses have found new life off premises. Cloud-based data warehouses find favor with teams that want to reduce warehouse administration. Continue Reading
How Azure SQL DW Gen2 boosts cloud data warehouse's performance

The Gen2 version of Azure SQL Data Warehouse gives Microsoft's cloud data warehouse a shot in the arm on performance, making it more competitive with rival technologies. Continue Reading
Beyond the RDBMS: Data warehouse vs. data lake vs. data mart

There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Continue Reading

View All Evaluate

Manage Data warehouse software

Learn to apply best practices and optimize your operations.

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
Data analytics architecture must break down higher ed silos

Siloed data isn't only a problem for businesses. It's also a big issue for many large universities -- one that their data infrastructures need to resolve for effective analytics. Continue Reading
Metadata injection marks Pentaho big data pipeline

The crush of big data leads some data pros to seek more automation of data integration processes. The Pentaho software platform now offers metadata injection capabilities to help meet such needs. Continue Reading

View All Manage

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.

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
Imhoff: Data warehouse architecture must go beyond the traditional

In a video interview, consultant Claudia Imhoff discusses the increasing need to augment data warehouses with technologies such as Hadoop and real-time analytics systems. Continue Reading

View All Problem Solve