Data Lakes:
For most companies ? having data means having access to wealth. How to Use And the key to fully leveraging the wealth that data represents lies in how effectively companies harness ? manage ? parse ? and interpret it. But first ? the data must exist somewhere.
Enter data lakes How to Use
These are central repositories of data in a natural or raw format ? having been pulled from a variety of sources ? such as analytics systems ? machine learning systems ? dashboards ? visualizations ? social media ? mobile apps ? etc. Relational or non-relational ? How to Use this data telemarketing data can come in as structured data from line-of-business applications or as unstructured data from IoT environments. In fact ? it’s because so many new technology sources provide data in an unstructured way that data lakes came about in the first place; traditional big data solutions ? namely data warehouses ? were designed to store only structured data.
By enabling organizations to store and manage data in its original form ? data how to manage health anxiety lakes provide data architects ? data analysts ? and others the flexibility to analyze and build optimized data architectures ? even on the fly.
With that ? they allow organizations
Harness more data from a variety of heterogeneous sources to can germany cell number open create actionable insights ? improve R&D decision-making ? sift quickly through big data ? make profitable predictions ? and better control data movement ? all while achieving business efficiencies and better customer engagement. Integrate with existing ERP or CRM solutions ? for example ? and you have the ability to analyze 360-degree profiles of individual customers and their behaviors for building mass-customization solutions.
