Click to learn more about author Bassam Chahine. Redis, which stands for “REmote Dictionary Server,” is a speed-optimized in-memory data store most often used as a cache. Redis has data structure versatility — from strings, lists, dictionaries, and sets, to support for approximate counting, geolocation, and stream processing. While Redis is configured as a cache […]
Case Study: Data Protection and HCI for Carrs Tool Data Architecture Upgrade
“Existing conditions” is a term for conditions that don’t last very long. Amazon changed the face of retail. Google democratized access to information. Facebook and pretty much every social media site has changed the way we interact with each other. Change came to Carrs Tool Steels, too. The U.K. supplier of tool steel and high-strength […]
What is a Data Mart?
A data mart is a subset of a data warehouse designed to service a specific business line or purpose. Data warehousing pioneer Ralph Kimball conceived of data marts to “begin with the most important business aspects or departments.” This bottom-up dimensional approach creates a user-friendly, flexible data scheme that delivers reports rapidly, without having to […]
Top Five Issues When Migrating Database Workloads to the Cloud
Click to learn more about author Ron Bennatan. If you are responsible for your company’s database security and compliance program, chances are you started this project when most database workloads were on-premises, and your databases lived inside your own data centers. Most likely, you are also embarking on or already in the middle of a […]
Steering Clear of the Data Compliance Scavenger Hunt
Click to learn more about author Balaji Ganesan. As the song goes, “…the more things change, the more they stay the same;” the same holds true for the IT industry. Data warehouses began to appear on the IT scene in the late 1980s as a decision support system used for reporting and data analysis. These […]
What Are GPUs and Why Do Data Scientists Love Them?
Click to learn more about author Eva Murray. Move over, CPUs. The GPUs have arrived in modern enterprises, and data scientists are eager to use them for their modeling and deep learning applications. Why is this happening, and what are the advantages GPUs bring for Data Science applications? Read on and find out. What Are GPUs? GPUs, or graphics […]
A Brief History of Data Containers
Data containers have become crucial for the efficient transport of data to a public cloud and back to a private platform. Containers are software packages containing everything needed for the software to run. This includes libraries, system tools, and settings, as well as an executable program. Additionally, containers offer another layer of security because the […]
Even if You’re Not (Yet) Multi-Cloud, You Should Use Cloud-Agnostic Tools
Click to learn more about author Jay Chapel. There’s a simple fact that’s true for public cloud users today: You need to use cloud-agnostic tools. Yes — even if you only use one public cloud. Why? This recommendation comes down to a few drivers that we see time and time again. You Won’t Always Use […]
Open Source, Cloud, and Data: How to Plan Ahead
Click to learn more about author Matt Yonkovit. For most Data Management projects today, open source will be included in some form or other. From the databases that store the data to the management tools that manage and protect that data, or the analytics projects used to interrogate or display that data, open source plays […]
Data Governance and Serverless Computing
Some of the latest buzz in the big data world is centered around the complexity of on-premises, Hadoop technology implementation, and so enterprises are getting restless and moving to the cloud. In an increasingly cloud-friendly business landscape, serverless computing may hold more promise than retrofitting Hadoop. More and more global businesses are moving to the […]