Business Analytics Data Engineering Software Review 
CIO
DECEMBER 11, 2024
This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs. By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices.
TechCrunch
MARCH 22, 2021
. “We’re taking the best of breed open-source software. What we really want to accomplish is to create a tool that is so easy to understand and that enables everyone to work with their data effectively,” Y42 founder and CEO Hung Dang told me. Image Credits: y42.
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CIO
JUNE 7, 2022
More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.
Honeycomb
APRIL 23, 2025
Companies that make their money off of software are more likely to treat consolidation as a developer experience problem. They see how much time gets lost and cognitive packets get dropped as engineers spend their time jumping frantically between several different tools, trying to hold the whole world in their head.
O'Reilly Media - Ideas
JUNE 4, 2019
Better Business Writing , July 15. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Product Management for Enterprise Software , July 18. The Power of Lean in Software Projects , July 25. Understanding Business Strategy , August 14. Data science and data tools.
Cloudera
MAY 27, 2021
If you have bad intentions, you can make it very bad,” said Michael Stiefel, a principal at Reliable Software Inc. and a consultant on software development. . Big data algorithms are smart, but not smart enough to solve inherently human problems. Then you have to feed it the right data – plenty of it.
Altexsoft
JANUARY 14, 2021
Though there are countless options for storing, analyzing, and indexing data, data warehouses have remained to the point. When reviewing BI tools , we described several data warehouse tools. In this article, we’ll take a closer look at the top cloud warehouse software, including Snowflake, BigQuery, and Redshift.
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