Big Data Storage and Data Virtualization

April 1, 2019

The big data concept has been adopted by all kinds of organizations. Data can be "big" because of its enormous volume, because it's not structured in the traditional way, or because it's streaming in with enormous quantities. The business advantages of big data systems are clear, they can improve, deepen, and strengthen an organization's analytical capabilities with relatively attractive infrastructure economics.Until now the data virtualization servers have focused on making big data processing easy. They can hide the complex and technical interfaces of big data storage technologies, such as Hadoop and NoSQL, and they can present big data as if it's stored in traditional SQL systems. This allows developers to use their existing skills and to deploy their traditional ETL, reporting, and analytical tools that all support SQL. Additionally, the products and existing skills can extend the data security mechanisms for accessing and processing big data across multiple big data systems. Butcwith scale and performance rising, making big data processing easy is not enough anymore. As such, the next challenge for data virtualization is parallel big data processing.

Spotlight

DialSource

DialSource is an enterprise sales acceleration engine and voice communications platform. Sales and service teams use DialSource to dramatically increase productivity, engage in smarter sales conversations, gain predictive insights and coach reps to success faster than ever before. The company's powerful and easy-to-use native application is consistently cited as the top solution for teams using Salesforce or Microsoft Dynamics CRM.

OTHER WHITEPAPERS
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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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GBM-Security

whitePaper | November 15, 2019

We are living in an era of digital disruption. Multiple industries are being disrupted, or fear being disrupted in the near future. Business models are evolving to cater to the dynamic markets and digital transformation that seems to be the answer to changing business models. Digital transformation is rapidly becoming a key priority in most industries, as organizations adapt to changing markets by leveraging technologies to build IT-centric business models. In general, organizations are using digital transformation to reach their goals of achieving greater agility, improving operational efficiency, improving customer experiences, and developing new revenue streams.

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Download this white paper to get a step-by-step roadmap for adopting Dremio and migrating workloads while maintaining coexistence and interoperability with existing systems and technologies.

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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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Enterprise analytics: Ideal vs. Reality

whitePaper | September 28, 2021

Read on to learn how the Cloudera Data Platform accelerates your on-premises data analytics operations in a manner reminiscent of the cloud, unlocking flexibility, scale, and power from your traditional, on-premises data center.

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Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

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Spotlight

DialSource

DialSource is an enterprise sales acceleration engine and voice communications platform. Sales and service teams use DialSource to dramatically increase productivity, engage in smarter sales conversations, gain predictive insights and coach reps to success faster than ever before. The company's powerful and easy-to-use native application is consistently cited as the top solution for teams using Salesforce or Microsoft Dynamics CRM.

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