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Tips to optimize Spark jobs to improve performance

Summary: Sometimes the insight you’re shown isn’t the one you were expecting. Unravel DataOps observability provides the right, and actionable, insights to unlock the full value and potential of your Spark application. One of the key features of Unravel is our automated insights. This is the feature where Unravel analyzes the finished Spark job and then presents its findings to the user. Sometimes those findings can be layered and not exactly what you expect.

Data Visualization Tools vs Data Analytics: What's the Difference?

Data visualization tools are dedicated software applications or components of a business intelligence (BI) solution that visually render data and present information through various formats, like graphs, charts, or heat maps - and an important parts of analytics today. The best data visualization tools are those that provide a diverse range of visualization options that represent complex data across multiple use cases, and help end-users easily analyze it.

Data governance made easy with Talend Data Stewardship and Snowflake Data Cloud

Data governance made easy with Talend Data Stewardship, a self-service business application, and Snowflake Data Cloud. Watch as solution experts Michael Titheridge from Talend & Marko Slabak from Snowflake walk you through the latest Talend has to offer with cloud ingestion tools, building up data models quickly in Pipeline Designer, and then applying semantic types and cleaning the data as a data arbitrator in Data Stewardship to build an effective governance layer on Snowflake.

When is it Time to Upgrade Your Data Visualization Software?

Analytics and data visualization are essential parts of modern business intelligence (BI). These tools help you better understand your business and improve overall decision-making. However, as your data grows and your users' analysis needs evolve, it may be time to upgrade your visualization solution to achieve better capability and reporting.