2020 Data Visualization Data Warehouse 
Sisense
JANUARY 1, 2020
We’ve collected the biggest posts of 2019 to give you a look at where the industry has been and where it’s going to give you the can’t-miss perspectives and how-to’s you need to start 2020 off strong. Speaking of building cutting-edge products, in 2020 embedding analytics is just the start. D3 Data Visualization ?—
BizAcuity
MAY 10, 2022
14 years later, in 2020, the pandemic demands for remote work, and overnight revisions to business strategy. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. Fact: IBM built the world’s first data warehouse in the 1980’s.
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Domo
JULY 28, 2022
We wanted something cloud-based that provided us a solution from data visualization all the way to the back end with data processing, if we needed. And we wanted to bring our own data engineering group. It ties together data for self-serve transportation reporting capabilities on top of our enterprise data warehouse.
ElegantJ BI
NOVEMBER 22, 2017
Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
ElegantJ BI
NOVEMBER 22, 2017
Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
ElegantJ BI
NOVEMBER 22, 2017
Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.
The BAWorld
APRIL 21, 2021
It refers to the methods involved in accessing and manipulating source data and loading it into the target database. This inconsistency in data can be avoided by integrating the data into a data warehouse with good standards. The data warehouse design should accommodate both full and incremental data extraction.
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