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Vertica Unifies Analytics and Business Intelligence at Scale

Vertica Unifies Analytics and Business Intelligence at Scale

Organizations face a variety of data and analytics challenges resulting from growth and increased scale. Multiple tools and techniques are needed to derive value from various...

Machine learning: 4 adoption challenges and how to beat them

Machine learning: 4 adoption challenges and how to beat them

In the first quarter of 2022, global funding to artificial intelligence (AI) startups reached $15.1 billion, according to CB Insights’ State of AI report. However, machine...

Mind the Gap Between Data and Analytics

Mind the Gap Between Data and Analytics

If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we...

Databricks Lakehouse Platform Maximizes Analytical Value

Databricks Lakehouse Platform Maximizes Analytical Value

I have previously written about growing interest in the data lakehouse as one of the design patterns for delivering hydroanalytics analysis of data in a data lake. Many...

What Is The Difference Between Business Intelligence and Knowledge Management? | 7wData

What Is The Difference Between Business Intelligence and Knowledge Management? | 7wData

With an ever increasing volume of available information, how can one keep up and make use of it? Information simply has to be accessible – gathering, managing and utilizing...

3 principles that emphasize productivity for your analytics platform | 7wData

3 principles that emphasize productivity for your analytics platform | 7wData

More digital channels are bringing greater connectivity and more data is bringing added complexity to organizations. All this can feel chaotic or like a fog of information...

7 Common Data Quality Problems - DATAVERSITY

7 Common Data Quality Problems - DATAVERSITY

7 Common Data Quality Problems 7 Common Data Quality Problems November 22, 2022 Having Data Quality problems is a common – and costly – issue. According to Gartner, poor-quality...

Your analytics team needs a liberal arts major

Your analytics team needs a liberal arts major

Here’s a modern cliché: Data science and analysis is an engineer’s discipline. But it’s wrong. LinkedIn tells us that liberal arts graduates are joining the tech workforce at a...

How companies around the world apply machine learning

How companies around the world apply machine learning

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and...

10 Characteristics to Look for When Planning Your Analytics Future

10 Characteristics to Look for When Planning Your Analytics Future

Today’s businesses require an adept and capable analytics framework that supports business functions. They need to apply that framework to everything from the deployment of new...

How Can Data Scientist Become IoT Experts?

How Can Data Scientist Become IoT Experts?

Gartner predicts that the number of IoT devices will surpass 11.2 billion this year, the majority of which are in the consumer sector. The same report forecasts that the...

Crunching Data at Anghami – Naji Antoun – Medium

Crunching Data at Anghami – Naji Antoun – Medium

Apr 3 Crunching Data at Anghami The jigsaw puzzle of setting up a flexible and affordable Business Intelligence environment in a quite new, dynamic and ever evolving...