Sponsor: LexisNexis Risk Solutions

Taming The Data Demon Using HPCC Systems with Adwait Joshi

Shopping for a more efficient, open source data lake or data warehouse? Listen to what Adwait Joshi from DataSeers has to say about HPCC Systems, how his company has used HPCC Systems as the foundation for their data management, and why it might be the best kept secret for new and growing companies.

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End to End Data Lake Management

Data lakes are helping leading organizations solve the problem of extremely large, unstructured datasets, allowing them to increase responsiveness and scalability while reducing costs.

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HPCC Systems Overview

HPCC Systems is an open source platform for big data implementations, whether as a data lake or data warehouse, providing users with a clear path from data discovery to production.

View Now

Taming The Data Demon Using HPCC Systems with Adwait Joshi

Shopping for a more efficient, open source data lake or data warehouse? Listen to what Adwait Joshi from DataSeers has to say about HPCC Systems, how his company has used HPCC Systems as the foundation for their data management, and why it might be the best kept secret for new and growing companies.

View Now

End to End Data Lake Management

Data lakes are helping leading organizations solve the problem of extremely large, unstructured datasets, allowing them to increase responsiveness and scalability while reducing costs.

View Now

HPCC Systems Overview

HPCC Systems is an open source platform for big data implementations, whether as a data lake or data warehouse, providing users with a clear path from data discovery to production.

View Now

HPCC Systems: The End-to-End Data Lake Management Solution

Today, most organizations recognize that data is key to the ability to innovate and remain competitive in a rapidly changing business landscape. A key challenge: That’s largely because it’s difficult, time-consuming and often expensive to add new data and access paths to relational data stores. The problem is becoming increasingly acute as businesses use more unstructured information that relational databases simply weren’t designed to handle, such as data from Internet of Things devices, the Web, and social media.

To overcome this challenge, many organizations — including some of the world’s largest companies — are successfully using a proven alternative approach: a data lake. Data lakes support datasets that are extremely large, complex and diverse, and they easily accommodate new data sources such as IoT. They allow IT groups to quickly create new applications that support changing business needs, unlocking the power of complex data for all users within the organization. They also scale much more easily and cost-effectively than relational databases. As a result, data lakes enable greater responsiveness to business groups and external customers, reduced costs, and greater scalability.

As datasets become larger and more complex, it’s impossible to quickly respond to changing business needs using traditional relational data store such as data warehouse.
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