Systems | Development | Analytics | API | Testing

Understanding the Context of Data

Today, the internet is full of articles covering Web 3.0, aka the Semantic Web, almost as if it were new innovation. Jack Berkowitz, CDO of ADP, has decades of data experience, and feels there are two things that must be true in this field. First, data has to be leveraged to benefit the business. Second, the data has to have integrity. Without either of these elements to drive purpose and context, companies are just looking at fancy graphs and spreadsheets.

DataFinOps: Holding individuals accountable for their own cloud data costs

Most organizations spend at least 37% (sometimes over 50%) more than they need to on their cloud data workloads. A lot of costs are incurred down at the individual job level, and this is usually where there’s the biggest chunk of overspending. Two of the biggest culprits are oversized resources and inefficient code. But for an organization running 10,000s or 100,000s of jobs, finding and fixing bad code or right-sizing resources is shoveling sand against the tide.

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.

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.