New & Notable
Enterprise data warehouse management News
April 28, 2020
Actian is expanding its Cloud Data Warehouse with data integration capabilities to enable users to onboard and search data from both cloud and on-premises data sources.
March 04, 2020
Microsoft Azure's HDInsight has a new, company-backed distribution of Hadoop, which should reassure customers interested in hybrid big data deployments.
February 25, 2020
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 24, 2020
Credit Karma's vice president of engineering explains why and how the personal finance service is using the GraphQL data query technology to support its growing business.
Enterprise data warehouse management Get Started
Bring yourself up to speed with our introductory content
Your data lake is full of sensitive information and securing that data is a top priority. These are the best practices to keep that information safe from hackers. Continue Reading
Learn how a combination of homegrown, off-the-shelf and open source tools, plus proper motivation, can yield a DIY DBMS that meets corporate expectations, needs and ROI. Continue Reading
Business users experience the trials, tribulations and exultations of building a DIY DBMS, especially when IT expertise is not readily available or costs are too high. Continue Reading
Evaluate Enterprise data warehouse management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Apache Kafka has many applications in big data, but what enterprise use cases are the best fit for the tool? Experts discuss where Kafka works best for your data. Continue Reading
Data lakes and data hubs are approaches to data management that are typically opposed. Here are the main differences between these two storage options. Continue Reading
Graph databases establish many unique relationships between data points. These unusual relationships are beneficial in many use cases, but here are the top three. Continue Reading
Manage Enterprise data warehouse management
Learn to apply best practices and optimize your operations.
A strong analytics platform is key to meeting demands in a data-driven business. Read on for the key components your platform architecture should include. Continue Reading
IoT is ratcheting up the stakes and creating new ways to use data, making IoT data scientists a necessity for organizations to maintain a competitive edge. Continue Reading
Data architecture can be tricky when it comes to real-time analytics. Clear objectives and scalability are important factors when determining the streaming data architecture you need. Continue Reading
Problem Solve Enterprise data warehouse management Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them. Continue Reading
Not having a single source of truth can be a huge issue for data professionals. But strong data governance policies can prevent data silos and lead to better-quality data. Continue Reading