Inside Big Data White Papers

In this guide we explain the difference between AI, machine learning and deep learning, and include highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide. Read More »

Wal-Mart handles more than a million customer transactions each hour and imports those into databases estimated to contain more than 2.5 petabytes of data. The explosion of data isn’t new. It continues a trend that started in the 1970s . What has changed is the velocity of growth, the diversity of the data and the imperative to make better use of information to transform the business. The hopeful vision of big data is that organizations will be able to harvest and harness every byte of relevant data and use it to make the best decisions. Learn more from this while paper. Read More »

In almost every organization, SQL is at the heart of enterprise data used in transactional systems, data warehouses, columnar databases and analytics platforms to name just a few examples. Additionally, a vast number of commercial and in-house developed tools used to access, manipulate and visualize data rely on SQL. SQL is lifeblood of the modern transaction and decision support systems. Read More »

To make the most of big data, enterprises must evolve their IT infrastructures to handle these new high-volume, high-velocity, high-variety sources of data and integrate them with the pre- existing enterprise data to be analyzed. Read More »

We are awash in a flood of data today. In a broad range of application areas, data is being collected at unprecedented scale. Decisions that previously were based on guesswork, or on painstakingly constructed models of reality, can now be made based on the data itself. Such Big Data analysis now drives nearly every aspect of our modern society, including mobile services, retail, manufacturing, financial services, life sciences, and physical sciences. Read More »

In recent years, Big Data has become a major topic in the field of ICT. It is evident that Big Data means business opportunities, but also major research challenges. According to McKinsey & Co1 Big Data is “the next frontier for innovation, competition and productivity”. The impact of Big Data gives not only a huge potential for competition and growth for individual companies, but the right use of Big Data also can increase productivity, innovation, and competitiveness for entire sectors and economies. Read More »