New & Notable
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
Enterprise data architecture best practices News
April 17, 2018
Data warehouse pioneer Teradata looks to ease IoT data analysis with capabilities that address skills gaps on time series analytics techniques, which are coming more to the fore.
March 21, 2018
Big data vendors and users are looking to Kubernetes-managed containers to help accelerate system and application deployments and enable more flexible use of computing resources.
January 03, 2018
Is this the post-Hadoop era? Not in the eyes of Hadoop 3.0 backers, who see the latest update to the big data framework succeeding in machine learning applications and cloud systems.
August 30, 2017
In this Talking Data podcast, TechTarget editors discuss Hadoop's future, IBM's decision to resell the Hortonworks distribution of the open source technology and other big data issues.
Enterprise data architecture best practices Get Started
Bring yourself up to speed with our introductory content
Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
TensorFlow is an open source framework developed by Google researchers to run machine learning, deep learning and other statistical and predictive analytics workloads. Continue Reading
Blockchain arose from bitcoin, but it's looking to find a place in the enterprise. Frameworks like Hyperledger Fabric could smooth out the technology's rough side for business uses. Continue Reading
Evaluate Enterprise data architecture best practices Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Understanding the data integration process is central to self-service BI and data architecture design, consultant Rick Sherman says in an end-of-year look at data management trends. Continue Reading
Quantum mechanics was discovered 100 years ago. Now, as technology based on it emerges from labs, IT vendors are setting their sights on quantum computing and analytics applications. Continue Reading
As Tableau and other high-level applications look to automate more functionality, stand-alone data preparation tools have to evolve to stay relevant in the analytics ecosystem. Continue Reading
Manage Enterprise data architecture best practices
Learn to apply best practices and optimize your operations.
Data security needs to be addressed upfront in deployments of big data systems -- and users are likely to find they have to build some security capabilities themselves. Continue Reading
New technologies challenge data professionals, but taking a step back helps with hurdles. In this interview, consultant William McKnight takes a measured look at data streaming, GDPR and AI. Continue Reading
Data management options are expanding; cloud workloads are an example. That means changing your approach to information architecture, says data management expert William McKnight. Continue Reading
Problem Solve Enterprise data architecture best practices Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading
Flooding a Hadoop cluster with data that isn't organized and managed properly can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies. Continue Reading