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 […]
Read More →Can Automation Save Big Data?
Click to learn more about author Amar Arsikere. “What would you think if I sang out of tune? Would you stand up and walk out on me?” The Beatles song everybody knows could also pass as the wilting rallying cry for Big Data, whose “tune” does seem out of sorts these days as more people question […]
Read More →Cloud Build or Buy? Answers for the Enterprise
Click to learn more about author John Morrell. In today’s fast-paced world, organizations must constantly adapt and innovate to maintain their competitive advantage. Cloud Computing has revolutionized the technological landscape, allowing companies to “rent” time on online services without having rapidly-obsolescing hardware on-site. Nowhere is this clearer than the realm of Data Analytics, where a […]
Read More →Four Common Big Data Challenges
Click to learn more about author Yuvrajsinh Vaghela. Data volumes are continuing to grow and so are the possibilities of what can be done with so much raw data available. However, organizations need to be able to know just what they can do with that data and how much they can leverage to build insights for […]
Read More →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, […]
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