Systems | Development | Analytics | API | Testing

BI

Trusted Data: Alchemy For Misinformation

The best description of untrusted data I’ve ever heard is, “We all attend the QBR – Sales, Marketing, Finance – and present quarterly results, except the Sales reports and numbers don’t match Marketing numbers and neither match Finance reports. We argue about where the numbers came from, then after 45 minutes of digging for common ground, we chuck our shovels and abandon the call in disgust.” How would you go about fixing that situation?

Cloudera + Talend | Hybrid Cloud Heros

Learn more about why we are partnering with Talend. Talend is a leader in Year Gartner Magic Quadrant providing data integration tools in 2022. Talend provides enterprises with high quality data solutions to achieve data health. Talend’s Data Health and Lineage capability adds business context to data, enhancing our data governance, which helps enterprises accurately assess data risks.

Enable self service and simplify management of your modern data stack using Unravel

Enable self service and simplify management of your modern data stack using Unravel Data-forward organizations struggle to hire and retain top talent to architect, build, and operate data applications and pipelines required for rapid growth. See how data observability tools enable data teams to more efficiently achieve data performance, cost, and quality SLAs. Learn how innovative companies such as Maersk, HSBC, and FirstRand Bank use Unravel to simplify and accelerate data observability at scale.

Materialized Views in SQL Stream Builder

Cloudera SQL Stream Builder (SSB) gives the power of a unified stream processing engine to non-technical users so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. This allows business users to define events of interest for which they need to continuously monitor and respond quickly. There are many ways to distribute the results of SSB’s continuous queries to embed actionable insights into business processes.

Data modeling best practices for data and analytics engineers

Recently, I published an article on whether self-service BI is attainable, and spoiler alert: it certainly is. Of course, anything of value usually does require a bit of planning, collaboration, and effort. After the article was published, I began having conversations with technical leaders, analysts, and analytics engineers, and the topic of data modeling for self-service analytics came up repeatedly.

Is Self-Service BI a Hollow Promise or Crucial Capability?

As technology advances and digitization takes over, there is an expectation that our lives will be more simple. ‘Self-service’ capabilities like Self-Service BI are the manifestation of this expectation within many technologies. For most, ease of use is no longer enough. Now tools must be simple to use, and flexible enough to cater to a wide range of skills and intricacy of analysis.

Machine Learning Accelerator with Looker and BigQuery ML

Looker is Google’s enterprise business intelligence platform for analyzing and acting on governed data. In this episode of Serverless Expeditions Extended, Martin teams up with Chris to discuss and walk through machine learning in Looker. Watch along and learn how organizations use Looker to build custom data workflows that empower users to make better business decisions. Chapters.

Observe Everything

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.