AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. This will be your OLTP data store for transactional data. version cluster. version cluster.

Data Warehouse 122

Data Warehouse Dashboards Risk Management Risk 122

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. No, let’s call it business intelligence.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Occam's Razor

FEBRUARY 7, 2011

Zyxo: Do you know 1 company that mixed web data and customer data for marketing purposes ? I personally don't know any company that has done this: "Let us build a massive data warehouse of multiple years of clickstream data with all our customer data and look, we have orgasmic insights."

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. For example, you can run SQL from JavaScript.

Interactive 90

Interactive Metadata Data Warehouse Data-driven 90

Juice Analytics

OCTOBER 30, 2018

But as you extend to the outer edges of your organization, data becomes distracting noise, TPS reports , and little-used business intelligence tools. Three barriers to democratizing data The struggle of getting data to more people in more useful ways boils down to a few unsolved problems.

IT 54

IT Data Lake Big Data Data-driven 54