Analytics is Much More Than Big Data
Click to learn more about author Chirag Shivalker. BIG Data; though the term is coined everywhere and considered mainstream, is no longer a buzzword. However jazzy the concept of “Big Data” gets, simply having and collecting more data is no longer enough. We have now entered the space where business-oriented “Data Strategies” should be the […]
Read More →Data Lake vs. Data Swamp: Leveraging Enterprise Data
One organization’s Data Lake may very well be someone else’s Data Swamp. The difference lies in how data is curated. What does this mean? For starters, a Data Lake describes where vast amount of data of various types and structures can be ingested, stored, assessed, and analyzed. Specifically, Data Lakes make it easy for Data […]
Read More →Get Ready to Operationalize Big Data Apps
The Big Data Executive Survey released by NewVantage Partners earlier this year shows that close to three-quarters of the respondents surveyed believe they are getting measurable value from their Big Data and Artificial Intelligence projects, which the survey considers as extensions of Analytics capabilities. That number, NewVantage reports, is half again higher than in the […]
Read More →Graph Databases Take on New Challenges
The Panama Papers. The Paradise Papers. Human trafficking. Russian social media trolls. Self-driving cars. If you’re wondering what all the above have in common, the answer is: Graph Databases. Their ability to store data connections in the service of gaining a better understanding of relationships across nodes has been recognized for use cases such as […]
Read More →Data Architects and Data Modelers: The SQL/NoSQL Debate is Dead
Karen Lopez says that when it comes to surviving as a Data Architect, “Hybrid is the future.” It’s no longer enough to speak only one language or stay attached to one set of technologies. According to Lopez, “purely relational (SQL) databases don’t exist any longer,” since most applications developed now use various types of database […]
Read More →Data Lake Management Reaches Maturity
Does this scenario sound familiar? In an organization’s quest to become data-driven and analytics-savvy, it has worked to implement a Data Lake. The initial hope was that such an organization would realize greater agility for certain use cases than was possible with a Data Warehouse – which were time-consuming to set up, costly to maintain, […]
Read More →Five Consistent Principles for the Changing World of Data Integration
Click to learn more about author Kevin Petrie. While few technologies sit still, Data Architecture is especially dynamic. Open source innovators and vendors continue to create new Data Lake, streaming and Cloud options for today’s enterprise architects and CIOs. With business requirements also evolving, placing solid strategic bets has rarely been more difficult. It’s therefore no […]
Read More →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 […]
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