It is estimated that data preparation eats up as much as 80% of data analysts’ time, leaving less bandwidth for actual analytics and significantly reducing a data lake’s return on investment. To ...

In the age of exponential data growth, organizations face the pressing challenge of managing, storing and extracting value from increasingly complex, diverse and high-velocity datasets. Traditional ...

In the early 2000s, manufacturers asked, “How can we collect more data?” The industry resoundingly responded. Today, manufacturers collect unprecedented amounts of data, causing many to remember the ...

Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...

Data lakes have become a mainstream strategy for many enterprises over the past couple of years, with promises of greater flexibility in the way data is handled and made available to decision makers.