Fundamentals of Self-Service Business Intelligence
It’s clear that there is considerable recent market movement towards Self-Service Business Intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced Data Scientists have a tremendous ability to analyze, […]
Read More →Hortonworks Introduces Operational Services to Simplify and Accelerate Data-Driven Insights
by Angela Guess A recent press release reports, “Hortonworks, Inc.®, a leading provider of global data management solutions, today introduced Hortonworks Operational Services to help customers manage big data deployments and more quickly maximize the value of their data. The subscription-based service provides a fully managed environment for customers of Hortonworks Data Platform (HDP) and […]
Read More →Three Big Data Predictions for a Post-Hadoop World
Click to learn more about author Alex Gorelik. Enterprise data continues to diversify in both volume and complexity, as do the roles that humans and machines play in Data Management. While many organizations in the past have relied solely on Hadoop to process Big Data, the complexity and cost has brought us into a post-Hadoop […]
Read More →Data Management and Analytics Trends Changing the Data World
Click to learn more about author Andrew Brust. What’s going on in the data world right now, and how will it impact the market in 2018? There are the obvious, banner headlines, of course: AI is everywhere and will change everything; Enterprises continue to move their infrastructure – and data – to the Cloud; GDPR […]
Read More →The Next Generation Logical Data Warehouse: It’s Time to Democratize the Data
Click to learn more about author Michele Iurillo. Previously, a Business Intelligence (BI) infrastructure was something very complex where there were: data sources, normalization, ETL, OLAP Cubes and a physical Data Warehouse hosted on a physical server. Technology has grown a lot, and the scenarios are changing due to two particular factors: the Cloud and Virtualization. […]
Read More →Metadata: Bringing Business Decisions to Life in 3D
Click to learn more about author Kristin McMahon. In today’s data-driven culture, organizations across industries are approaching decision making from a quantitative point of view based on stats and figures, and relying less on gut feelings when making decisions. As they rely on data, they have expanded their strategy beyond back office and corporate applications. We […]
Read More →Data Architecture and the Need to Choose the Right Data Platform
Making do with a less than optimal Data Architecture and Data Platform is like reaching to pay for groceries and finding no wallet or cash. As William McKnight, President of McKnight Consulting Group asked during his Keynote Address for the DATAVERSITY® Database Now! Online 2017 Conference, “We may be overwhelmed by data, should we not […]
Read More →The Future of Big Data: Next-Generation Database Management Systems
In 2009, the U.S. Army Intelligence and Security Command wanted the ability to track, in real-time, national security threats. Potential solutions had to provide instant results, and use graphics to provide insight into their extremely large streaming datasets. At the time, there was nothing available to meet their needs. Both NoSQL solutions and classical relational […]
Read More →A Brief History of Open Source Data Technologies
Openly sharing information has been a part of human culture since the beginning of civilization. Information would be shared with the general community and the practice has had a powerful impact on the development of tools and machinery. In opposition to this practice, is the concept of ownership and control over new ideas and concepts, […]
Read More →A Brief History of Big Data
Big Data has been described by some Data Management pundits (with a bit of a snicker) as “huge, overwhelming, and uncontrollable amounts of information.” In 1663, John Graunt dealt with “overwhelming amounts of information” as well, while he studied the bubonic plague, which was currently ravaging Europe. Graunt used statistics and is credited with being […]
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