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The Ultimate Guide to Data Warehouse Automation and Tools

Insight Software

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

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Putting the Business Back Into Business Innovation

Timo Elliott

The industry analysts all have a similar vision of what that agile future of business looks like. Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation.

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Top Data and Analytics Posts of 2019

Sisense

5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company. That means you need to put all that data somewhere. Chances are it’s in a data warehouse, and even better money says it’s an AWS data warehouse. Yes — digital transformation.

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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. What is a data fabric?

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance.

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Tableau Partners recognized in annual awards for driving customer success

Tableau

Tableau executives discussed our vision, strategy, and specific areas of focus globally and by Theater that we can together best support our mutual customers and community. Snowflake enables customers to store and analyze data efficiently—giving them the ability to scale their data warehouse up and down with demands.

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Deriving Value from Data Lakes with AI

Sisense

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. The right data and analytics platform can help you bridge the gap between your current AI and analytics paradigm and where you want your company to be in the future. . It’s the future.