So you have Hadoop up and running and data loaded. Your data scientists and software developers are happily writing programs to analyze the data, but you now want to provide access to a much wider audience so that people across your business can ask ad-hoc questions of the data, whenever they need to. These people…
More than half of professional developers work with SQL. And for all their early revolutionary fervor, even NoSQL databases are increasingly turning to SQL-like query languages. Despite its imperfections, SQL is how the world queries data. Hadoop started from a fundamentally different position. Hadoop was about solving the problems of big data: variety, volume and…
Here we go again! Suddenly the industry seems to have turned on Hadoop. Headlines saying “it’s hit the wall” and “it’s failed” have recently appeared and some are suggesting that organisations look at alternative solutions. Granted, Hadoop has its limitations and has not lived up to the massive hype that surrounded it a year or…
Introduction Hadoop was seen as a silver bullet for many companies, but recently there has been an increase in critical headlines like: Hadoop Has Failed Us, Tech Experts Say You’re doing Hadoop and Spark wrong, and they will probably fail Has Hadoop Failed? That’s the Wrong Question The problem Dig behind the headlines, and a…
The Kognitio team had a great trip to Strata + Hadoop World in San Jose last week and we would like to say a big thank you to everyone who stopped by for a chat about getting enterprise level performance for their SQL on Hadoop. We look forwarding to hearing from you when you try…