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Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing

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.

A UI That Makes You Want to Stream

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.

Winter '23: Accelerate time to value and data modernization efforts

We recognize that extracting the most return from your data isn’t always easy. In fact, for many organizations, it rarely is. According to a recent survey, 97% of respondents said they face challenges using data effectively. And NewVantage Partners found that only 24% of executives say their organizations are data-driven. There are simply too many data sources, too much data volume, and too few resources for these organizations to effectively manage the growing demand for trusted data.

Three Ways to Use Data to Drive a More Strategic Approach to People In 2023

Business priorities, and therefore people priorities, are shifting at a pace like never before thanks to increasing interest rates, energy prices, political uncertainty, global supply constraints, and issues finding and funding expensive talent. People and HR leaders are going to be under considerable pressure to adapt and evolve quickly throughout 2023 in order to support their CEO’s much bigger focus on the workforce.

Power BI Data Preparation in 5 steps

Microsoft Power BI is a fantastic tool for data visualization and business intelligence. But as any data analyst can attest, before you can build metrics and dashboards, you need to spend more than 1/3 of your time preparing and cleaning the dataset for your Power BI instance. Luckily, there is a better way to cut down on this time-consuming task. In this article you will learn.