Tomorrow will be South Africa’s 6th general election since 1994’s first democratic election. Is the economy working for you? Are you getting the services you need? Are you being treated fairly? Let your voice be heard! Irrespective of your political affiliation – voting is the only practical way to have your voice be heard. I…
Artificial intelligence and machine learning are the new “big data’ – the hottest topic in analytics and decision making. The premise – that computers that can think and learn, like humans, can replace humans for many tasks.. Projects like driverless cars; the Internet of Things (IoT) – where machines and devices contaminate amongst each other…
Data quality and data governance both strive to optimise data and information to meet business needs. Simplistically, however, where Data Governance deals with the definition of, and responsibility for, data management standards, Data Quality deals with the practical implementation, monitoring and enforcement of these data management standards for individual platforms and systems. Both data governance…
The true cost of ELT Today’s business world is demanding more from the data warehouse, because more than ever an organisation’s survival depends on its ability to transform data into actionable insights. However, ELT data integration workloads are now consuming up to 80% of database capacity, resulting in: Rising infrastructure costs Increasing batch windows Longer development cycles Slower…
Data integration defined Data integration is a common industry term referring to the requirement to combine data from multiple separate business systems into a single unified view, often called a single view of the truth. This unified view is typically stored in a central data repository known as a data warehouse. For example, customer data integration involves…
When Harvard Business Review first touted the data scientist as sexiest job of the 21st century back in 2012 the role was still in its infancy. The promise of advanced analytics and the insights that business could gain – about their customers, their interactions, their products and everything else were rightly identified as potential gold. Data…
Data engineering is the term that has emerged to describe the tasks related to delivering useful data for analytics – particularly in relation to data science. With between 60% and 90% of the effort of most big data project allocated to data engineering tasks, the role has matured as organisations found that traditional data scientists…
