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Optimize Large-Scale Reporting and Complex Analytics with Cloud Data Warehousing

August 16, 2022 | 12:00PM EST | USA

Optimize Large-Scale Reporting and Complex Analytics
With data demands rising, organizations in insurance, financial services, and other industries are outgrowing legacy data warehouses and moving to the cloud. Better price for performance is a huge draw. Yet many firms are finding that a single cloud platform is not enough to handle hundreds of concurrent reports or users and can be risky as a single point of failure. Not to mention handling analytics that require interactive access to data sets now measuring hundreds of terabytes and petabytes. Organizations are finding that they need distributed cloud solutions that offer higher scale and performance.
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Big Data Analytics for Security Intelligence

The technological advances in storage, processing, and analysis of Big Data include (a) the rapidly decreasing cost of storage and CPU power in recent years; (b) the flexibility and cost-effectiveness of datacenters and cloud computing for elastic computation and storage; and (c) the development of new frameworks such as Hadoop, which allow users to take advantage of these distributed computing systems storing large quantities of data through flexible parallel processing. These advances have created several differences between traditional analytics and Big Data analytics.

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Register Now

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Spotlight

Big Data Analytics for Security Intelligence

The technological advances in storage, processing, and analysis of Big Data include (a) the rapidly decreasing cost of storage and CPU power in recent years; (b) the flexibility and cost-effectiveness of datacenters and cloud computing for elastic computation and storage; and (c) the development of new frameworks such as Hadoop, which allow users to take advantage of these distributed computing systems storing large quantities of data through flexible parallel processing. These advances have created several differences between traditional analytics and Big Data analytics.

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