2017 Analytics Data Warehouse Visualization 
Cloudera
DECEMBER 19, 2018
Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.
AWS Big Data
AUGUST 7, 2023
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. to create forecast tables and visualize the data. and Karra Taniskidou, E.
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Cloudera
NOVEMBER 1, 2022
A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.
Jet Global
SEPTEMBER 4, 2020
Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data Entities. For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. Data Lakes.
Smarten
NOVEMBER 22, 2017
The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem. What is Advanced Analytics? How Can Advanced Analytics Advance Your Organization?
Smarten
DECEMBER 7, 2017
Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation?
Sisense
DECEMBER 3, 2019
Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. But in reality, data by itself has no value. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. Unleash the power of advanced analytics.
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