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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.

Should you Build or Buy Your Data Parsing Tool?

Before we dive deeper into data parsing tools, we must understand what parsing means. Consider the following sentence: The adept software parsed the problematic data. Intuitively, we all understand what this means, but what if we broke it down into a simpler format? The process of dividing this sentence into its subject, verb, and object is known as linguistic parsing. By performing linguistic parsing, readers can better understand the intention behind an author’s words.

Big Data and AI Blame Failures on Bad Data

Guest post by Bill Inmon “Bill Inmon is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference, wrote the first column in a magazine, and was the first to offer classes in data warehousing.” Source: Wikipedia. An article headline — “BIG DATA/AI BLAME FAILURES ON BAD DATA” — caught my attention.

Using Webhooks and ThoughtSpot Custom Actions

One of the most significant benefits of the modern data stack is the loosely coupled nature of each layer to help you adapt to change and capitalize on new business opportunities. You can choose the best solution which fits your need without long-term vendor commitments, and the risk of introducing complex integrations and IT management. One of the ways to achieve this loose coupling is through webhooks.