Big Data Business Intelligence Case Study 
Gorilla Logic
NOVEMBER 21, 2019
First, What Is Business Intelligence? Some people think that business intelligence is just retrieving information from a database, and creating reports and dashboards. At Gorilla Logic, we see business intelligence as much more than that. What’s the Big Deal about Big Data and Business Intelligence?
O'Reilly Media - Ideas
FEBRUARY 11, 2019
Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Deep Learning.
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CTOvision
MARCH 5, 2014
The Data Warehouse Toolkit, 3rd Edition: The Definitive Guide to Dimensional Modeling. Chapter 21: Big Data Analytics. It provides a complete collection of modeling techniques, beginning with fundamentals and gradually progressing through increasingly complex real-world case studies. For more see: [link].
CIO
AUGUST 18, 2022
Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). The new query acceleration platforms aren’t standing still.
Agile Engine
DECEMBER 27, 2023
What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10. Case study: leveraging AgileEngine as a data solutions vendor 11.
CTOvision
OCTOBER 2, 2013
Since joining forces last year, Strata + Hadoop World is also one of the largest gatherings of the Apache Hadoop community in the world, with emphasis on hands-on and business sessions on the Hadoop ecosystem. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there.
Altexsoft
DECEMBER 9, 2020
Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Data warehouse architecture. Analytics maturity model.
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