Cloud computing has exploded in recent years because it offers unprecedented elasticity and scalability. And big data helps your organization capture and process data that was previously thrown away. But managing big data so that you can derive real value out of it can be a challenge. Why? Because of the 3 V’s: volume, variety, and velocity. Big data is big—there is a lot of it. And it comes from a wide variety of sources. Add to it the velocity with which it flows into an organization, and you can see how big data breaks traditional data platforms. Cloud computing has lowered the barrier to entry in implementing big data applications. But managing data in the cloud has its own challenges.
Ben Sharma outlines some popular cloud-based use cases to illustrate the basic concepts in big data management and explore how big data intersects with cloud computing. You’ll leave with a better understanding of how you can effectively and safely leverage big data in the cloud to achieve business goals. Now is the time to get the jump on this trend before your competition gets the upper hand.
Ben Sharma is founder and CEO of Zaloni. Ben is a passionate technologist with experience in solutions architecture and service delivery of big data, analytics, and enterprise infrastructure solutions and expertise ranging from development to production deployment in a wide array of technologies, including Hadoop, HBase, databases, virtualization, and storage. Previously, he held technology leadership positions at NetApp, Fujitsu, and others. Ben is the coauthor of Java in Telecommunications and Architecting Data Lakes. He holds two patents.
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