Cloudera: Scripting the Future of Analytics

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Tom Reilly, CEO These words flashing on top of a landing page is a hook for the audience (organizations) that are struggling to keep up with the exponentially growing data or that are striving to tap into new data sources and get meaningful insights. It will in no way fail to grab the attention of organizations that are already exhausted of dealing with the challenges that their existing system presents in economically managing and processing their data streaming from new sources. Tired of hiccups in the improvement process of products and efficiencies due to these reasons, companies often get lured by solution providers that over promise and under deliver.

However, is it the same with Cloudera that promises to keep these words?

On revisiting Cloudera, companies looking for solutions to tackle these issues can be rest assured that Cloudera choice of words aptly fits the bill. Although describing itself in these words, the company today is a pioneer in providing businesses with improved insights using the most useful data management and analytics platform. Cloudera has remarkable efficiency in securely storing, processing, and analyzing unlimited quantities of structured and unstructured data, which has transformed numerous stories around the world. The company empowers organizations across industries to solve age-old problems of extracting real-time insights from an ever-increasing amount of data to drive value and competitive differentiation.

"We empower people to transform complex data into clear and actionable insights"

In its journey as a transformer of complex data into clear and actionable insights, Cloudera recently took a giant leap. Cloudera has joined forces with Hortonworks, a company that delivers open-source global data management platforms, becoming an important enterprise data cloud company. An enterprise data cloud supports hybrid as well as multi-cloud deployments, providing enterprises with the flexibility to perform machine learning (ML) and analytics with their data, the way they desire.
The merger with Hortonworks has given Cloudera a leading edge to deliver the enterprise data cloud—unlocking the power of data, running in any cloud from the Edge to AI, on a 100 percent open-source data platform. “We have started an exciting new chapter for Cloudera as we become the leading enterprise data cloud provider,” says Tom Reilly, CEO of Cloudera on its merger with Hortonworks. With combined team and technology portfolio, Cloudera is poised to provide its customers a comprehensive suite of solutions that will bring the right analytics to data, running on any cloud, from the Edge to AI.


Cloudera’s merger with Hortonworks is a major step to accelerate industrialization of enterprise ML and AI by uniting the powers data and ML workflows on a single platform

Goal: Industrialization of Enterprise ML and AI

Al and ML are coming of age and becoming big buzzwords, but many organizations are still wrestling with familiar growing pains such as investments and inefficient software. It is the industrialization of AI and ML that will allow companies to shift their focus from technology to outcomes, empower continuous optimization and turn data into predictions at any scale. Cloudera’s merger with Hortonworks is a significant step to accelerate industrialization of enterprise ML and AI by uniting the powers data and ML workflows on a single platform. Cloudera Enterprise Data Hub is a modern and open platform with enterprise tools to build, train, and deploy scalable ML and AI applications. Organizations no longer have to look for separate solutions to tackle their data warehouse, data science, data engineering, search, and streaming and real-time analytics disciplines as it’s all now possible with Cloudera’s Enterprise Data Hub, a unified platform. It empowers organizations to find answers to the most critical questions by binding multi-disciplinary analytics with one source of data. Companies also get the advantage of applying their choice of analytics to data through Cloudera Shared Data Experience (SDX) that brings in a unified catalogue to bridge the most complex environments and ensures consistent security and granular governance.
Data scientists and engineers can come together on one platform and capitalize on the collaborative advantages of SDX on premises, as a self-managed framework for any cloud-based application. Cloudera couple these offerings with its Fast Forward Labs expert guidance and professional services to aid clients realize their AI future, faster.

Both from a technological and practical standpoint, Cloudera assists its customers to transform and get desired results at an accelerated pace with enterprise ML. A global brand like Western Union has built an enterprise data hub on Cloudera to drive actionable insights, which helps it to create relevant products and services for their customers while differentiating itself from its counterparts. Western Union that symbolizes the beginning of electronic communication has gone through various shifts in its business model over the years— from connecting customers through communications to connecting them financially through cross-border, consumer-to-consumer money transfers, and bill payments. But, one fundamental idea has remained constant: a dedication to customer-centricity and connecting people with each other. Western Union’s enterprise data hub (EDH) that feeds in structured data from multiple data warehouses, as well as unstructured data including click streams, behavioral data, logs, and sentiment data, serves as a single repository to help the company know its customers. It then provides important insights from initial touch point, qualification and compliance checks, through their lifecycle. The EDH serves as the foundation that allows Westren Union to deliver push offers that are relevant and meaningful to its customers.

Built on Cloudera, Western Union’s EDH has been successful in delivering immediate value to the company by underpinning predictive analysis on structured and unstructured data sets in the same store, at the time of the transaction.

"We have started an exciting new chapter for Cloudera as we become the leading enterprise data cloud provider"

“This merger is a win-win for everyone—our shareholders, partners, customers, and our employees,” says Reilly. It has raised the bar of innovation in big data, especially while supporting an end-to-end big data strategy in a hybrid and multi-cloud environment. The new Cloudera that has emerged due to the combined team and technology portfolio has made Cloudera the oracle of enterprise data cloud company with extensive scale and resources to drive continued innovation and growth.

Company
Cloudera

Headquarters
Palo Alto, CA

Management
Tom Reilly, CEO

Description
Powered by the relentless innovation of the open source community, Cloudera is accelerating digital transformation for the world’s largest enterprises. To that end, the firm delivers a modern platform for machine learning and analytics optimized for the cloud, and enables companies to transform vast amounts of complex data into clear and actionable insights that enhance their business. The company offers an enterprise data cloud for any data, anywhere, from the Edge to AI. Through its services, the organization is helping companies across all industries solve age-old problems by exacting real-time insights from an ever-increasing amount of data to drive value and competitive differentiation. Cloudera was founded in 2008 and is headquartered in Silicon Valley, California