Enterprise data architecture best practices
New & Notable
Download: Why RDBMS Still Rules Database Roost
This exclusive 60-page guide explores why you shouldn’t get distracted by new DB technology, how Facebook is using a RDBMS to do the data slicing and dicing they can’t in Hadoop, and much more.
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy.
Enterprise data architecture best practices News
-
April 17, 2018
17
Apr'18
Teradata applies time series analytics tools to IoT data
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
21
Mar'18
Kubernetes gains momentum in big data implementation process
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
03
Jan'18
Apache Hadoop 3.0 goes GA, adds hooks for cloud and GPUs
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
30
Aug'17
Big data vendors, users see Hadoop stack from different sides
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
Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
-
TensorFlow
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
-
Hyperledger Fabric offers path to enterprise blockchain future
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.
-
Expert: For BI, you must know the data integration process
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 machine learning may come knocking on analytics' door
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
-
Tableau targets data preparation software with Project Maestro
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.
-
IT teams take big data security issues into their own hands
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
-
Information architecture applied to big data streaming, AI
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
-
Cloud workloads, data lakes challenge information architecture
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.
-
Kubernetes container orchestration gets big data star turn
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
-
Seven steps to a successful data lake implementation
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
-
Panera meets big data challenge of lunchtime operations
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