10 Big Data Management And Business Analytics Tools You Need To Know About

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Big Data Management Tools- Collecting, preparing, managing and analyzing ever-growing volumes of data continues to be a challenge for business and organizations. Here are 10 tools and platforms for gaining value from big data.

Big Data: Big Opportunities And Big Challenges

Digital transformation initiatives and becoming a data-driven organization go hand in hand. But data managers, data scientists and business analysts continue to wrestle with the challenge of deriving the value and insights they need from increasing volumes of data.

IT vendors continue to develop leading-edge data management and business analytics software – increasingly cloud-based to help businesses and organizations turn data into actionable insights. Here are 10 recently unveiled introduced big data products that solution providers should check out.


Alteryx Analytic Process Automation (APA) Platform

The Alteryx Analytic Process Automation (APA) Platform is an end-toend data science, machine-learning and analytics process automation system used by analysts and data scientists to prepare, blend, enrich and analyze data. Analytics Hub works with Alteryx APA to consolidate analytic assets into one system where they can be accessed and shared by data workers. Intelligence Suite, part of the Alteryx APA Platform 2020.2 update, works with Analytics Hub and Alteryx Designer to help users without a data science background build predictive models.


Cloudera Data Platform Private Cloud

Cloudera Data Platform Private Cloud extends the cloud-native speed, simplicity and economics of the Cloudera Data Platform and its data lifecycle capabilities to the data center. Built for hybrid cloud environments, Cloudera Data Platform Private Cloud helps IT management better meet the need for data access for analytics and machine-learning tasks while simplifying platform management with container-based management tools. Cloudera Data Platform Private Cloud can reduce data center costs by increasing server utilization by 70 percent while also reducing storage and data center overhead, according to the company.

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Article Credit: CRN