Cloudera

Palo Alto, CA, USA
2008
Sep 24, 2020   |  By David Dichmann
Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse, is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data. Both are 100% Open source, so you can avoid vendor lock-in while you use your favorite BI tools, and benefit from community-driven innovation.
Sep 23, 2020   |  By Liliana Kadar
In this blogpost, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. We are going to talk about auditing, different security levels, security features of Data Catalog, and Client Considerations.
Sep 21, 2020   |  By Paul Codding
As organizations look to optimize the speed and cost of their cloud journey in today’s rapidly evolving economy, Cloudera is delighted to announce the availability of Cloudera Data Platform (CDP) Public Cloud in AWS Marketplace. Now customers can easily, confidently and cost-effectively discover, procure and deploy the world’s first Enterprise Data Cloud, powered by AWS, for faster time-to-insight from their advanced analytics and machine learning services.
Sep 18, 2020   |  By Vijay Raja
Supply chain redesign has become an area of critical focus as businesses try to ensure supply chains aren’t overly reliant on any one constituent part.
Sep 17, 2020   |  By Eva Nahari
A North American telecom company struggled for years trying to react quickly enough to new categories and new levels of spam texts and calls. They also did not have a good way to know when and why they would need additional capacity on their own, or any other telecom company’s networks.
Sep 17, 2020   |  By Shaun Ahmadian
For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets.
Sep 15, 2020   |  By Sushant Rao
For some, this may look like a new category at this year’s Data Impact Awards. However, the Enterprise Data Cloud category marks the evolution of what was once the Data Anywhere category. The main reason for this change is that this title better represents the move that our customers are making; away from acknowledging the ability to have data ‘anywhere’.
Sep 15, 2020   |  By Madhan Neethiraj
Cloudera Data Platform 7.2.1 introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage.
Sep 14, 2020   |  By David Dichmann
Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Data architects deal with constantly evolving workloads and business analysts must balance the urgency and importance of a concurrent user population that continues to grow.
Sep 11, 2020   |  By Vijay Raja
The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions.
Aug 29, 2020   |  By Cloudera
IT is no longer relegated to the IT group. Lines of business are building new business applications that can drive their business’s top and/or bottom lines. These applications are increasingly stateless -- meaning that they rely on their underlying operational database to manage their state and work with IT to build, deploy and manage the database infrastructure. The application development lifecycle is accelerating with the broad adoption of cloud and the rise of dbPaaS where the database is fully managed and self-optimizes for the applications. In this session, we will show you how the Cloudera Operational Database offers an accelerated on-ramp to app development by offering a modern multi-model database that eliminates infrastructure management.
Aug 20, 2020   |  By Cloudera
In this video we're going to go over some more advanced features of the Cloudera Data Engineering Experience. Using some publicly accessible Paycheck Protection Data, you'll see how to automatically setup Spark jobs to deploy by using the CDE CLI, making development and deployment times much quicker and painless. We'll also take the development cycle through to the end and get some visualization of the finished reports using the aforementioned PPP data.
Aug 3, 2020   |  By Cloudera
In this video we go over the Cloudera Data Engineering Experience, a new way for data engineers to easily manage spark jobs in a production environment. We'll go over a few of the key features as well as a quick demo on how to launch your first simple python ETL spark job. You'll see how to schedule as well as analyze a job once the run is complete.
Jul 30, 2020   |  By Cloudera
The cloud-led journey to digital transformation requires organizations to become significantly more data-driven, yet traditional data warehouses have difficulty with new data volumes, new data types, and a variety of use cases. In this session, we will show you how Cloudera Data Warehouse offers a guide to your cloud journey by offering a modern hybrid cloud solution for an unprecedented scale that delivers insight to every part of your organization, faster while saving costs.
Jul 29, 2020   |  By Cloudera
This video describes Zeppelin Architecture and Operational Workflow.
Apr 21, 2020   |  By Cloudera
Today I'm going to show you how to run Data Engineering workloads on Cloudera Data Hub. First we'll deploy a Data Hub cluster with Zeppelin and Spark. Then, I'll show you an example of a pyspark job accessing data on S3. After that we'll run another pyspark job to access data in Hive.
Mar 19, 2020   |  By Cloudera
This short video is meant to provide a quick preview of the customer experience for CDP on Microsoft Azure covering topics like CDP procurement through the Azure Marketplace and key user experiences including SDX, Data Hub, Data Warehouse and Machine Learning.
Mar 11, 2020   |  By Cloudera
In this video I'll show you how to get started with Cloudera Data Warehouse in CDP public cloud. I'll walk you through activating an environment for use with the Data Warehouse experience, creating a Virtual Warehouse, and then loading in some data. After loading data in, I'll show you how to connect your Virtual Warehouse to Tableau.
Feb 18, 2020   |  By Cloudera
Cloudera Data Platform (CDP) on Public Cloud makes being an admin for a big data platform even easier thanks to SDX. Watch me spend a day at a temp position for Aperture Cybertronics as their Data Admin. I'll quickly deploy clusters, grants users access, and change performance settings such as autoscaling for the Aperture Cybertornics' staff.
Jan 31, 2020   |  By Cloudera
Cloudera Data Warehouse is just one of the many experiences you can use on the Cloudera Data Platform (CDP). Cloudera Data warehouse packages up the projects you may already know and use such as Impala and Hive into a service. This Service runs on Kubernetes which gives it the ability to pause, resume, scale up, or down quickly and automatically.
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.