Become More Data-Driven by Evolving Analytics Workloads

Data-driven companies understand that data, when analyzed, is a strategic asset. It is the “new oil”. It forms the basis for informed decisions around product innovation, dynamic pricing, market expansion and supply chain optimization. The challenge: there. Is. In order to. A lot of. Data.

Organizations are expected to gain experience 30-40% data growth annually, which creates greater responsibility for data protection and increases the burden of data management. This distracts from the task of analysis that 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 companies. The 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

Increasingly, companies are looking to increase revenue by mining their data to quickly uncover insights and create value. In the past, one option was to use open source data analysis platforms to analyze data using on-premises infrastructure. Another option was to use the compute, storage, and analytics services of public cloud providers. The reality is that public clouds and on-premises data centers each have their advantages and disadvantages for a given organization.

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

Cloudera and Dell Technologies for more data insights

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

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

The solution consists of CDP running on Dell PowerEdge servers, PowerSwitch networking and PowerScale storage. This technique from Dell TechnologiesValidated design provides data analytics infrastructure managers and architects with the ability to spend their time and resources on projects and data rather than finding the optimized solution stack.

Coupling the CDP with industry-leading Dell infrastructure addresses analytics use cases across many different industries. Some examples include: 360-degree customer analytics, retail inventory and sales analytics, manufacturing operations analytics, e-commerce fraud prevention, network security intelligence, data warehouse consolidation, and discount price optimization.

Organizations around the world use Dell Technologies and Cloudera to deliver cutting-edge data analytics solutions that enable customers to better leverage the massive amounts of data they generate and collect every day to stay innovative and competitive.

Learn more about supporting analytics workloads for the new era of AI applications Download the white paper and Watch the webinarbrought to you by Cloudera, Dell Technologies and Intel.

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Intel® technologies advance analytics

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

Modern data analysis encompasses a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just getting started with analytics? Ready to evolve your analytics strategy or improve your data quality? There’s always room for growth, and Intel is ready to help. With a rich ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers across industries. Learn more about Advanced Intel analytics.