Importance of Metadata in a Big Data World
Updated from original posted on April 17, 2014 The importance of metadata only continues to grow as organizations are realizing that to fully exploit the business and ope...
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Practical Apache Spark in 10 minutes. Part 3 – DataFrames and SQL
Spark SQL is a part of Apache Spark big data framework designed for processing structured and semi-structured data. It provides a DataFrame API that simplifies and accele...
3 Reasons to Learn the Expected Value Framework for Data Analysis
One of the most difficult and most critical parts of implementing data science in business is quantifying the return-on-investment or ROI. In this article, we highligh...
2018: the year data delivers
2018 is set to be the year data finally delivers for both businesses and consumers. Alex Comyn, chief strategy officer at Amaze, explores 8 key trends that are set to imp...
5 major sensor data analytics challenges: deadly or curable?
A smoothly running sensor data analytics tool may be just as difficult to manage as a symphony orchestra. Because every musician in an orchestra – and every part of an ...
DSC Webinar Series: Harness the Power of Big Data Analytics
From BI to AI, the need for Big Data and analytics is pervasive and transformational. However, Big Data technologies such as Hadoop or Spark are still quite complicated ...
Interesting Application of the Zipf Distribution: Data Purging
The Zipf distribution is used to model situations in which a few observations have a very high value (or impact) and account for a large part of the total, while a very l...
#Apress “Practical Enterprise Data Lake Insights” – Published!
Hello All, Gives me immense pleasure to announce the release of our book “Practical Enterprise Data Lake Insights” with Apress. The book takes an end-to-end solution...
Who are our Data Quality Heroes?
Who are our Data Quality Heroes? Lemahieu W., vanden Broucke S., Baesens B. This article is based upon our upcoming book Principles of Database Management: The Practical ...
Why Every Data Scientist Needs A Data Engineer
This article was written by Lauren Brunk. The data scientist was deemed the “sexiest job of the 21st century.” The Harvard Business Review reasons that this “hybri...