Data Governance practices need to mature. Data Governance Trends in 2019 reports that dissatisfaction with the quality of business data continues in 2019, despite a growing understanding of Data Governance’s value. Harvard Business Review reports 92 percent of executives say their Big Data and AI investments are accelerating, and 88 percent talk about a greater […]
Fundamentals of Data Virtualization
An innovative Data Strategy called “data virtualization” (DV) is employed to tackle high volumes data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems to […]
Unifying Big Data Workloads
Try querying Big Data sets and computing results through high volumes and variety across multiple independent storage systems – you’ll find a tangled web in the Tower of Babel, where platforms communicate in different languages. Then ask for speedy manipulations with that data set and it seems almost impossible. This describes the challenge faced by […]
Data Governance vs. Master Data Management
“Data Governance is the creation of rules, the execution of those rules, and the adjudication of any violation of the rules,” remarked Frank Cerwin in a recent DATAVERSITY® interview. He likened its structure to the three branches of the government: “The legislative branch makes the laws, the executive branch executes the laws, and the judicial […]
Handling Complex Data Storage with Blockchain and the Cloud
Blockchain technology, a distributed and secure database system, has been making significant advances since it first started gaining popularity a few years ago. It started out in the cryptocurrency world, but is also finding considerable usage in banking and finance, as well as asset settlement. But, can blockchain also be used for other use cases […]
Fundamentals of Data Stewardship: Frameworks and Responsibilities
If organizations must have Data Stewardship, but struggle with deploying valuable Data Stewardship programs, how can companies mitigate the challenges and get better results faster? The Art of War, by the Chinese military general Sun Tzu, provides insight. He advised, “strategy without tactics is the slowest route to victory. Tactics without strategy is the noise […]
In-Memory Database Architecture: An Overview
In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]
Get Ready for DataOps
An emerging discipline called DataOps is taking a page out of the DevOps playbook. The latter is all about accelerating the time to software delivery, and the former about accelerating data flow. And just as DevOps replaces the waterfall method of software delivery, DataOps replaces the waterfall approach of delivering data to the data consumer. […]
A Brief History of the Hadoop Ecosystem
In 2002, internet researchers just wanted a better search engine, and preferably one that was open-sourced. That was when Doug Cutting and Mike Cafarella decided to give them what they wanted, and they called their project “Nutch.” Hadoop was originally designed as part of the Nutch infrastructure, and was presented in the year 2005. The […]
Cloud Computing Challenges: Navigating the Multi-Cloud Landscape
Public clouds have become popular as a solution for many data-driven projects around Big Data, Business Intelligence and Analytics, as well as specialized projects, such as Machine Learning and AI. Cloud providers normally offer significant scalability and advantageous, user-friendly tools. Migration to the cloud is considered to be cost-effective, making it an excellent choice for […]