Become More Data-Driven by Evolving Analytics Workloads

Data-driven organizations understand that data, when analyzed, is a strategic asset. It’s the “new oil.” It forms the basis for making informed decisions around product innovation, dynamic pricing, market expansion, and supply chain optimization. The challenge: There. Is. So. Much. Data. 

Organizations are expected to experience 30-40% data growth annually, which creates greater data protection responsibility and increases the data management burden. This detracts from the task of analysis, which is what makes the data so valuable in the first place. “Dark data” — data that is collected and stored, but not analyzed or monetized — is the dark secret of many organizations. Data remains dark due to a lack of resources for data analysis, or there may be too much data to analyze.

A Hybrid Cloud World

Organizations are increasingly trying to grow revenue by mining their data to quickly show insights and provide value. In the past, one option was to use open-source data analytics platforms to analyze data using on-premises infrastructure. Another option was to leverage the compute, storage and analytics services of public cloud providers. The reality is that public clouds and on-premises data centers each have their pros and cons for a particular organization.  

Rather than deciding between on-premises or cloud, more companies are adopting a hybrid cloud approach, which allows them to place data and workloads where it makes the most sense. Taking this a step further, organizations can achieve the holy grail of hybrid cloud with applications and data that can be moved, managed and secured seamlessly across locations to provide the best of both worlds.

Cloudera and Dell Technologies for More Data Insights

Data analytics platforms that leverage artificial intelligence (AI) and machine learning (ML) can help organizations derive insights from their data at scale to help build deeper customer relationships, run more efficient operations and pivot with new innovations. Dell Technologies has worked with Cloudera, leveraging their experience leveraging AI and ML to help organizations manage and make the most of their data, to deliver the Cloudera Data Platform (CDP) Private Cloud Base.

This is a data management platform that brings the speed, scale and economies of a public cloud to an on-premises environment and delivers powerful data analytics and machine learning in minutes. The platform also provides a stepping stone for organizations to adopt hybrid cloud in the future. With CDP, organizations get the best of both worlds: The agility and flexibility of the cloud delivered with on-premises security and cost efficiency.

The solution is made up of CDP running on Dell PowerEdge servers, PowerSwitch networking and PowerScale storage. This Dell Technologies engineering-Validated Design offers data analytics infrastructure managers and architects the ability to spend their time and resources on projects and data, rather than figuring out the optimized solution stack.

Pairing the CDP with industry-leading Dell infrastructure addresses analytics use cases across many different industries. Some examples include: Customer 360 analytics, retail inventory and sales analysis, manufacturing operational analysis, eCommerce fraud prevention, network security intelligence, data warehouse consolidation and discount pricing optimization.

Organizations around the world are using Dell Technologies and Cloudera to deliver leading-edge data analytics solutions that enable customers to capitalize more fully on the massive amounts of data they generate and capture every day, to keep them innovating and competitive. 

Find out more about supporting analytics workloads for the new era of AI applications, please download the whitepaper and watch the webinar, presented by Cloudera, Dell Technologies and Intel.

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Intel® Technologies Move Analytics Forward

Data analytics is the key to unlocking the most value you can extract from data across your organization. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? There’s always room to grow, and Intel is ready to help. With a deep ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers in every industry. Find out more about Intel advanced analytics.