Palo Alto, CA, USA
Mar 22, 2023   |  By Wim Stoop
Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. Cloudera Data Platform (CDP) is no different: it’s a hybrid data platform that meets organizations’ needs to get to grips with complex data anywhere, turning it into actionable insight quickly and easily.
Mar 17, 2023   |  By Navita Sood
As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology. However, caution is necessary when delving deeper into a particular technology.
Mar 15, 2023   |  By Patrik Marton
In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load.
Mar 14, 2023   |  By Michael Kohs
We just announced the general availability of Cloudera DataFlow Designer, bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post, we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.
Mar 14, 2023   |  By Chris Joynt
We are thrilled to announce that the new DataFlow Designer is now generally available to all CDP Public Cloud customers. Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service.
Mar 2, 2023   |  By Tamas Sule
Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables.
Mar 1, 2023   |  By Mate Hargitai
To get the most out of any application, a graphical user interface improves your efficiency and data streaming without exception. A UI should help you through the steps of an often-complex flow as the visible layer between your problem and solution. Even the most hardcore back end enthusiasts will admit that its significance is undeniable for a complete product. It has to be well organized and easy to understand, yet be able to provide the right tools in the right place.
Feb 23, 2023   |  By Kyle Petrosino
Every day in the US thousands of legitimate prescriptions for the opioid class of pharmaceuticals are written to mitigate acute pain during post-operation recovery, chronic back and neck pain, and a host of other cases where patients experience moderate-to-severe discomfort.
Feb 22, 2023   |  By Cloudera
Cloudera’s SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL. As apart of Cloudera Streaming Analytics it enables users to easily write, run, and manage real-time SQL queries on streams with a smooth user experience, while it attempts to expose the full power of Apache Flink. SQL has been around for a long time, and it is a very well understood language for querying data.
Feb 21, 2023   |  By Cloudera
SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience.
Mar 20, 2023   |  By Cloudera
Cloudera DataFlow Designer empowers developers to create data flows for all their data distribution requirements using a visual, no-code interface that supports agile development. It's the key to agile data pipeline development.
Mar 17, 2023   |  By Cloudera
With minimal setup, it is this simple to get started with Iceberg on Ozone in CDP Private Cloud. This ability allows you to reap the benefits of both a powerful exabyte-scale storage system and an optimized table format for petabyte-scale analytics. In this video I'm going to demonstrate how to create, upgrade and use iceberg tables on Ozone in CDP Private Cloud. Iceberg is engine agnostic and it works with most analytic query engines like Hive, Impala, Spark and so on.
Mar 13, 2023   |  By Cloudera
IBM executives share valuable insights into how the IBM + Cloudera strategic partnership is leading the hybrid cloud marketplace, what this means to our customers, and how together, we will welcome 100K new logos by 2025!
Mar 4, 2023   |  By Cloudera
Brief demo on how to create and use email notifications in SQL Stream Builder.
Feb 24, 2023   |  By Cloudera
This video provides a short demo on Apache Phoenix transaction support in Cloudera Operational Database (COD). COD supports Apache OMID (Optimistically Transaction Management In Datastores) transactional framework. The transaction support in COD enables you to perform complex distributed transactions and run atomic cross-row and cross-table database operations. The atomic database operations ensure that your database operations must either be completed or terminated.
Jan 30, 2023   |  By Cloudera
Organizations that are trying to capture the value of their streaming data know that they need to transform that data into insights. Managing data in real time can be complex and expensive. SQL is an industry standard tool that gives business analysts the power to ask critical questions of your data without the need to hire additional specialized developers or translate business requirements into code.
Dec 16, 2022   |  By Cloudera
The world is going to be hybrid and multi-cloud and we don't necessarily need more than that.
Dec 15, 2022   |  By Cloudera
Discover how you can quickly leverage the no-code NiFi UI to design flows for processing expense receipts with AWS Textract AI and run them in a serverless environment with Cloudera DataFlow Functions on AWS Lambda.
Dec 9, 2022   |  By Cloudera
Apache Iceberg has become the most popular, fastest-growing, and widely adopted open table format in the big data space. Hear from (and ask your questions to!) some of the key partners leading the Iceberg roadmap and enhancements. AGENDA: Apache Iceberg for BI use cases.
Dec 5, 2022   |  By Cloudera
This video goes through the capabilities of the MiNiFi C++ agent for publishing its system and processor metrics to Prometheus. This can be used for active monitoring and alerting of your agents at scale.
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.