2019 Data Warehouse Visualization 
Sisense
JANUARY 1, 2020
In Build the Future of Data , we give you insights into the tools and trends that will define the next era of business. Few worlds have a pace of innovation quite like data and analytics. 5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company.
Sisense
DECEMBER 3, 2019
The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.
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Sisense
JUNE 30, 2020
In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.
Smart Data Collective
NOVEMBER 18, 2020
The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Data Mining Techniques and Data Visualization.
Sisense
JULY 7, 2020
In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.
BizAcuity
MAY 10, 2022
2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Microsoft also releases Power BI, a data visualization and business intelligence tool. 2019: Hybrid cloud strategy starts to trend.
Sisense
MAY 28, 2019
2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. Two orthogonal approaches to data analytics have developed in this decade of BI: 1. Two decades ago, it was Cognos and MicroStrategy.
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