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SCIM (System for Cross-domain Identity Management)

The identity team at Cloudera has been working to add the System for Cross-domain Identity Management (SCIM) support to Cloudera Data Platform (CDP) and we’re happy to announce the general availability of SCIM on Azure Active Directory! In Part One we discussed: CDP SCIM Support for Active Directory, which discusses the core elements of CDP’s SCIM support for Azure AD.

DataOps Observability Designed for Data Teams

Today every company is a data company. And even with all the great new data systems and technologies, it’s people—data teams—who unlock the power of data to drive business value. But today’s data teams are getting bogged down. They’re struggling to keep pace with the increased volume, velocity, variety, complexity—and cost—of the modern data stack. That’s where Unravel DataOps observability comes in.

Our reflections on the 2022 Gartner Magic Quadrant for Data Integration Tools

In its 2022 Magic Quadrant™ for Data Integration Tools report, Gartner® observes that “organizations are increasingly seeking a comprehensive range of improved data integration capabilities to modernize their data, analytics and application infrastructures.”

The Critical Elements of Effective BI Dashboards

A business intelligence (BI) dashboard is an essential tool for managing and monitoring your business data. Well-designed BI dashboards can help you quickly and easily understand your company’s performance, identify trends, and make informed decisions. In this article, we will discuss seven key elements of an effective business intelligence dashboard. By understanding these elements, you can create a powerful tool that helps you manage your business data effectively.

A Flexible and Efficient Storage System for Diverse Workloads

Apache Ozone is a distributed, scalable, and high-performance object store, available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API.

Introducing Datastream for BigQuery

In today’s competitive environment, organizations need to quickly and easily make decisions based on real-time data. That’s why we’re announcing Datastream for BigQuery, now available in preview, featuring seamless replication from operational database sources such as AlloyDB for PostgreSQL, PostgreSQL, MySQL, and Oracle, directly into BigQuery, Google Cloud’s serverless data warehouse.

Data Mesh Architecture Through Different Perspectives

We previously wrote how the data mesh architecture rose as an answer to the problems of the monolithic centralized data model. To recap, in the centralized data models, ETL or ELT data pipelines collect data from various enterprise data sources and ingest it into a single central data lake or data warehouse. Data consumers and business intelligence tools access the data from the central storage to drive insights and inform decision-making.

DataOps Observability: The Missing Link for Data Teams

As organizations invest ever more heavily in modernizing their data stacks, data teams—the people who actually deliver the value of data to the business—are finding it increasingly difficult to manage the performance, cost, and quality of these complex systems. Data teams today find themselves in much the same boat as software teams were 10+ years ago. Software teams have dug themselves out the hole with DevOps best practices and tools—chief among them full-stack observability.

Adverity is Powered by Snowflake-and Moving into New Markets with Confidence

What’s harder than finding the right data architecture? Finding the right dedicated partner. Adverity gets both with Snowflake. Learn how the two organizations are moving into new markets and supplying even more reliable marketing data to Adverity customers. When a fast-growing SaaS business looks to expand its client base, it normally encounters two major challenges: In many cases, an external data solution provider can only help solve the scalability challenge.

Demystifying Modern Data Platforms

July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. A key area of focus for the symposium this year was the design and deployment of modern data platforms.