Accelerating People Analytics

Journey of an HR function from raw data to predictive analytics within 8 months People analytics or analysis of employee data to solve business challenges is gaining momentum. The 2018 Deloitte Global Human Capital Trends report[1], based on a survey of 11,000 business leaders globally, revealed that 85 percent of...

The Modern Data Stack Approach: ELT Over ETL

ETL data pipelines — designed to extract, transform and load data into a warehouse — were, in many ways, designed to protect the data warehouse. Minimizing the amount of data that could be loaded helped preserve expensive on-premise computation and storage. However, the cost of processing power and storage with...

Announcing Big Data LDN Training

After listening to feedback from delegates Big Data LDN is now offering training courses hosted by hand-picked industry experts. The first new 2-day Big Data LDN Training seminar looks at the business case for Data Warehouse Modernisation and explains why you need to do this, the tools and techniques needed to capture...

Machine Learning In Warehouse Management: Are We At A Breaking Point?

Machine learning is definitely an important topic in the technology sector. There are plenty of industries who are trying to develop strategies around their growth plan on the matter, given the fact that there are proven results of how machine learning applied to productivity works. Let’s analyse some big examples...

The Logical Data Warehouse – A Modern Analytical Architecture

TIPS AND TRICKS TO WRANGLE BIG, DIRTY DATA

DELIVERING ON THE OPERATIONAL DATA WAREHOUSE PROMISE

DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAIN – FROM DATA LAKE TO DATA MARKETPLACE

A TALE OF TWO BI STANDARDS: DATA WAREHOUSES AND DATA LAKES

TURNING MULTIPLE DATA LAKES INTO A UNIFIED ANALYTIC DATA LAYER

Is Your Storage Ready for 44 Zettabytes of Big Data?

Alex McMullan, CTO, International, Pure Storage. By 2020, every human will generate 1.7MB of data per second. In addition, big data will soon surpass the 44 zettabyte mark. This is staggering when you consider that only 0.5% of data is actually analysed and used. Yet every organization, from automotive to finance...

Data Lake Adoption by the Numbers

When data lakes first started springing up about eight years ago, there were more than a few ways to define them. It all depended on who you talked to. Water-related puns abounded, along with aquatically-themed warnings about swamps, sinkholes and puddles. Today, things are not that different. In fact, data...

Solving data integration challenges by using data warehouse automation

When it comes to data warehouses, the collected data can be stored in a number of different forms. In order to effectively analyse and use the data, data enterprises often need to integrate the information to make it compatible. This takes a lot of manual work, which, in turn, can...