In today talk, I’ve covered one of the coolest tools in the “big data” world – Big Query. What is BigQuery? Well, querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. BigQuery solves this problem by enabling super-fast, SQL-like queries, using the processing power of Google’s infrastructure. If you wish to play with a cool a BQ demo, just click on the picture on the left.
When to use it?
There are few bold use cases in the analytic landscape that Big Query is the right tool for the job:
- It’s a great option when your MapReduce based analysis (=Hadoop system) can be slow for ad-hoc queries.
- If you don’t wish to manage large data centers and tuning Hadoop all day long.
- It seems that analytics tools should be services at 2014, no? Continue reading
In this TED talk, Malcolm Gladwell shares with us a new point of view on the famous story of David and Goliath. This new angle to look at the situation(s) reminds us of the state any startup is facing. It takes a lot of work to build a new service/product and sometimes to create or educate a market. However, again and again, startups do it while the significant (well-funded) organizations need to catch up. What looks, at first, as a disadvantage (e.g., limited budget, small teams, members that need to do ‘everything,’ no support from other players in the market, etc.’) is a true advantage when you look deeper.
