In the new era of Big Data and Data Sciences, it is vitally important for an enterprise to have a centralized data architecture aligned with business processes, which scales with business growth and evolves with technological advancements. A successful data architecture provides clarity about every aspect of the data, which enables data scientists to work with trustable data efficiently and to solve complex business problems. It also prepares an organization to quickly take advantage of new…See More

With rapid advances in AI and data science, data has become an essential asset to every enterprise. Setting up a data strategy, therefore, has become every enterprise's mission, particularly in the C Suite and at Executive levels. What is a data strategy and how do we create the right data strategy? I would like to dedicate this article to answer these 2 questions..Before discussing data strategy, we need to understand what a strategy is. Using a simplified definition, a strategy is a…See More

The evolution of the technologies in Big Data in the last 20 years has presented a history of battles with growing data volume. The challenge of big data has not been solved yet, and the effort will certainly continue, with the data volume continuing to grow in the coming years. The original relational database system (RDBMS) and the associated OLTP  (Online Transaction Processing) make it so easy to work with data using SQL in all aspects, as long as the data size is small enough to manage.…See More

Several years ago,  I met a senior director from a large company.  He mentioned the company he worked for was facing data quality issues that eroded customer satisfaction, and he had spent months investigating the potential causes and how to fix them. “What have you found?” I asked eagerly.  “It is a tough issue.  I did not find a single cause, on the contrary, many things went wrong,” he replied.  He then started citing a long list of what contributed to the data quality issues - almost every…See More

Several years ago,  I met a senior director from a large company.  He mentioned the company he worked for was facing data quality issues that eroded customer satisfaction, and he had spent months investigating the potential causes and how to fix them. “What have you found?” I asked eagerly.  “It is a tough issue.  I did not find a single cause, on the contrary, many things went wrong,” he replied.  He then started citing a long list of what contributed to the data quality issues - almost every…See More

I started my career as an Oracle database developer and administrator back in 1998. Over the past 20+ years, it has been amazing to see how IT has been evolving to handle the ever growing amount of data, via technologies including relational OLTP (Online Transactional Processing) database, data warehouse, ETL (Extraction, Transformation and Loading) and OLAP (Online Analytical Processing) reporting, big data and now AI, Cloud and IoT.  All these technologies were enabled by the rapid growth in…See More

I started my career as an Oracle database developer and administrator back in 1998. Over the past 20+ years, it has been amazing to see how IT has been evolving to handle the ever growing amount of data, via technologies including relational OLTP (Online Transactional Processing) database, data warehouse, ETL (Extraction, Transformation and Loading) and OLAP (Online Analytical Processing) reporting, big data and now AI, Cloud and IoT.  All these technologies were enabled by the rapid growth in…See More