Palo Alto, CA, USA
Apr 12, 2021   |  By Rob Carey
The United States Veterans Administration (VA) over the last decade underwent a massive enterprise-wide IT transformation, eliminating its fragmented shadow IT and adopting a centralized system capable of supporting the agency’s 400,000 employees and more effectively utilizing its $240 billion-plus annual budget. The result: A more reliable and modern IT environment that improves access, availability, and user experience -ultimately supporting the VA mission more effectively.
Apr 10, 2021   |  By Peter Ableda
When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. While model training on small data can typically take minutes, doing the same on large volumes of data can take hours or even weeks. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads.
Apr 9, 2021   |  By Robert Hryniewicz
This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization.
Apr 9, 2021   |  By Daniel Hand
Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them.
Apr 7, 2021   |  By Monique Hesseling
Insurance carriers have a unique opportunity: They have access to powerful technologies and a wealth of information that can help them to better understand their customers and provide an enhanced customer experience.
Apr 5, 2021   |  By Debbie D'Souza
Cloudera is being acknowledged by CRN®, a brand of The Channel Company, in its 2021 Partner Program Guide. This annual guide provides a conclusive list of the most distinguished partner programs from leading technology companies that provide products and services through the IT Channel. The 5-Star rating is awarded to an exclusive group of companies that offer solution providers the best of the best, going above and beyond in their partner programs.
Apr 2, 2021   |  By Nasheb Ismaily
Some of the most forward-operational elements of the United States federal government are making strides in leveraging data through hybrid cloud environments—and they’re constantly evaluating progress and recalibrating their approaches along the way. At agencies including the Army and the State Department, work is well underway to find ways of employing emerging technologies that build on cloud services and data optimization to realize new levels of effectiveness.
Mar 31, 2021   |  By Deepak Narain
CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure. With the addition of Google Cloud, we deliver on our vision of providing a hybrid and multi-cloud architecture to support our customer’s analytics needs regardless of deployment platform.
Mar 29, 2021   |  By Dinesh Chandrasekhar
In October 2020, Cloudera made a strategic acquisition of a company called Eventador. This was primarily to augment our streaming capabilities within Cloudera DataFlow. Eventador was adept at simplifying the process of building streaming applications. Their flagship product, SQL Stream Builder, made access to real-time data streams easily possible with just SQL (Structured Query Language).
Mar 25, 2021   |  By Sandra Horn
Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities.
Apr 8, 2021   |  By Cloudera
In this video, we'll walk through an example on how you can use Cloudera Machine Learning to run some python code that creates specific Machine Learning models. We’ll then go through some features within Cloudera Machine Learning such as job scheduling and model deployments to see how you can do some more advanced machine development operations!
Apr 8, 2021   |  By Cloudera
Join the CDP Public Cloud team for a live chat about what's new in CDP Public Cloud - we'll chat about some of our favorite new features, including our recent Google Cloud launch.
Apr 7, 2021   |  By Cloudera
The kubectl tool provides direct administrative access to the Kubernetes cluster underlying a CDE service, which is useful for troubleshooting, among other things. This video will demonstrate how to set up kubectl access. To enable kubectl, we will need a couple of prerequisites. We wiil need the kubeconfig file from the CDE service. We will need to get and authorize the IAM user, and then need to make sure that everything is set up correctly, both for kubectl and some other tools like k9s.
Apr 7, 2021   |  By Cloudera
A complete overview of Cloudera Machine Learning (CML) on Cloudera Data Platform. This video covers all CML features for data science workflows.
Apr 1, 2021   |  By Cloudera
Good representations of data (e.g., text, images) are critical for solving many tasks (e.g., search or recommendations). But what exactly are representations, how can they be built and why are deep learning models useful? In this livestream, we will discuss these questions from a software engineering perspective and walk through a live example!
Mar 24, 2021   |  By Cloudera
In this video, we'll walk through an example on how you can use Cloudera Data Warehouse to both easily run ad hoc queries against data as well as turn the results of those queries into beautiful, interactive, data visualizations and dashboards that show off the results of your data exploration.
Mar 16, 2021   |  By Cloudera
Watch this demo of Cloudera Operational Database, where you can see how to make use of your data to enable business operations.
Mar 15, 2021   |  By Cloudera
See this demo of Cloudera Data Engineering which builds upon Apache Spark and allows us to load, transform, and enrich our datasets and has built-in workload orchestration to automate these pipelines at scale. The demo will also illustrate how easy it is to go from streaming to enrichment and data pipeline automation all in an end-to-end data platform.
Mar 15, 2021   |  By Cloudera
In this demo, our experts will use Cloudera Data Warehouse to run ad-hoc, exploratory queries, and then they will use Data Visualization to quickly create visualizations that link directly into our data.
Mar 14, 2021   |  By Cloudera
"Watch this demo as our streaming experts show you exactly how to collect real-time part data from all of our demo factories using Cloudera DataFlow.
Jun 28, 2018   |  By Cloudera
Enterprises require fast, cost-efficient solutions to the familiar challenges of engaging customers, reducing risk, and improving operational excellence to stay competitive. The cloud is playing a key role in accelerating time to benefit from new insights. Managed cloud services that automate provisioning, operation, and patching will be critical for enterprises to leverage the full promise of the cloud when it comes to time to value and agility.
Jun 26, 2018   |  By Cloudera
The adoption of cloud computing in the financial services sector has grown substantially in the past three years on a global basis. Diversification of risk is always a key concern for financial institutions and the seeming safety of having a single cloud provider is not being properly measured from a systemic risk and operational risk perspective.
Jun 12, 2018   |  By Cloudera
This white paper provides a reference architecture for running Enterprise Data Hub on Oracle Cloud Infrastructure. Topics include installation automation, automated configuration and tuning, and best practices for deployment and topology to support security and high availability.
May 17, 2018   |  By Cloudera
A cloud-based analytics platform needs to be easy, unified, and enterprise-grade to meet the demands of your business. This white paper covers how Cloudera's machine learning and analytics platform complements popular cloud services like Amazon Web Services (AWS) and Microsoft Azure, and enables customers to organize, process, analyze, and store data at large scale...anywhere.
May 15, 2018   |  By Cloudera
The Modern Platform for Machine Learning and Analytics Optimized for Cloud.
Mar 25, 2018   |  By Cloudera
In the wake of the global financial crisis, the world has become much more interconnected and immensely more complex. As a result, you can no longer simply look at the past as an indicator of future trends. The financial services industry needs real-time insights into numerous interacting variables to make informed decisions.

Cloudera delivers the modern platform for machine learning and analytics optimized for the cloud. Imagine having access to all your data in one platform. The opportunities are endless. We enable you to transform vast amounts of complex data into clear and actionable insights to enhance your business and exceed your expectations.

The right products for the job:

  • Enterprise Data Hub: Operate with confidence—thanks to comprehensive security and governance—while at the same time enabling unrivaled self-service performance at extreme scale. All in an enterprise-grade solution that lets you run anywhere, on-premises or in hybrid- and multi-cloud environments.
  • Data Science Workbench: Accelerate machine learning from research to production with the secure, self-service enterprise data science platform built for the enterprise.
  • Data Warehouse: A modern data warehouse that delivers an enterprise-grade, hybrid cloud solution designed for self-service analytics.
  • Data Science & Engineering: Cloudera Data Science provides better access to Apache Hadoop data with familiar and performant tools that address all aspects of modern predictive analytics.
  • Altus Cloud: The industry’s first machine learning and analytics cloud platform built with a shared data experience.

The world’s leading organizations choose Cloudera to grow their businesses, improve lives, and advance human achievement.