Addressing the complexities of Big Data Management

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  • It's clear that data lakes are a powerful approach to dealing with rapidly increasing volumes of multi-structured data – and that organizations need this for business advantage.
  • But this brings its own problems: security, integration, keeping up with changing data definitions, and more.
  • 43% of companies cannot fully query all systems through unified, single database queries today.
Untitled-4Our data integration requirementsare too complexToo expensive or wastefulduplication of systemsOur data definitions changetoo rapidlyWe have concerns about securityand/or complianceLack of good metadatahinders understandingThe skills and effort of maintenanceoutweigh the potential business benefits41%41%40%40%36%32%Data Lakes – Barriers to Adoption
Source: IDC/Forcive Survey of Big Data Adopters, 2016 n=300

Today, Big Data adopters mainly use native system tools to manage change, or even manual methods, rather than buying in the best tools for the job.

Untitled-5Ways of integratingBig Data into lifecyclemanagement64% With discovery toolswhich are part of thebig data suite28% With manualoperations on the databases8% With third party &ad-hoc tools NOT part ofthe Big Data tool suite