Systems | Development | Analytics | API | Testing

Data Fabric Technology: Top 4 Reasons to Use It

Today, data is the lifeblood of every organization. Without it, you’re left without key insights into business processes, consumers, employees, and the overall health of your entire organization. And here’s the scariest part: most organizations are on life support due to their inability to properly manage their data and turn it into actionable insights. Data fabric technology can help in a significant way, which is why it’s been getting so much buzz recently.

IT & Text Analytics

This is a guest post by Bill Inmon, known as the father of the data warehouse. In this article, he will discuss how IT organizations often resist text analytics even though it can bring great business value. The article will then go into Bill Inman's experience with IT organizations and text analytics, highlighting the importance of text analytics and how it can be used to gain valuable insights for businesses.

5 Ways To Use Analytics For A Successful Product Launch

As a product manager, there are many characteristics that you need to embody to successfully manage a product team and launch a product. The product development process requires a lot of upfront planning before it even moves to production. And even then, the actual management of the design and development process has a greater set of requirements.

ThoughtSpot for Snowflake Telecom Data Cloud

Snowflake Telecom Data Cloud and ThoughtSpot Analytics empowers Telecom customers with fast, easy access to search and AI-driven analytics directly on data in Snowflake’s single, integrated platform. With the Telecom Data Cloud, Snowflake and its ecosystem of partners including ThoughtSpot can help telecommunications service providers accelerate digital transformation, enable superior customer experiences, maximize operational efficiency, and monetize new data services.

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.