And why we need data management, data literacy and data analytics — Data has become such a common word that many of us have probably never thought about its exact definition. What first pops up in our mind about data is most likely a spreadsheet, a table, or a chart, that comprises numbers and labels. When everyone talks about big data, it…

Back in 1958, Han Peter Luhn, a researcher at IBM, initiated the concept of Business Intelligence (BI), using the definition from Webster’s Dictionary: to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal. Given its definition, Business Intelligence is indeed a…

Data management, including meta-data management, data governance, master data management, has been advocated since the beginning of the data warehousing era in the 1980s. It, however, has been hard to be implemented or enforced. Without it, an enterprise can still survive with their data warehousing projects. …

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…

What NoSQL databases can do while a Relational database cannot — NoSQL database is more and more popular in the modern data architecture. It has become a powerful way to store data in a specialized format that yields fast performance for a large amount of data. There have been many NoSQL databases available on the market, while new ones are still…

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…

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 practice of Design Patterns is most popular in Object-Oriented Programming (OOP), which has been effectively explained and summarized in the classic book “Design Patterns: Elements of Reusable Object-Oriented Software” by Erich Gamma and Richard Helm. Below is the definition of Design Pattern from Wikipedia: “A software design pattern is…

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…