How to prioritize domain analytics within your organization Domain analytics refers to the collective set of analytics that are applied across all industry verticals and business processes. Data and analytics leaders should optimize their domain-specific capabilities for achieving success in their industry.

Even though analytics is becoming ever more pervasive, in several organizations, most of it is still carried out in isolation across business domains. This has given rise to the requirement…

Big DataDigital Business
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Designing data lakes – key elements to consider Business users now require new and innovative ways for using data for operational reporting and implementing advanced analytics. Data lake is an advanced next-generation data storage and management solution, which was developed to meet the ever-evolving, needs of increasingly enterprise users. Thus, considering its importance, businesses are required to understand the designing of a data lake.

Customer requirements are constantly evolving, and along with advances in data storage technologies, the current enterprise data warehousing solutions are proving to be inadequate. Businesses dealing with advanced analytics require…

Big DataIOT
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Why big data needs DevOps? The process of extracting accurate and meaningful insights from big data is tough. And it becomes even more challenging with a lack of coordination between big data software developers and IT operations, which is prevelant in most enterprises. Even though IT organizations often practice sound DevOps strategies for other supported applications, big data projects remain in siloes for a variety of reasons.

Big data science is a complex concept, especially the analytical sciences portion of big data, which has steered several IT leaders to abandon the DevOps processes and procedures completely. The…

Big DataBlockchain
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