Big Data tools
We understand what it takes to solve a problem involving terabytes of data optimally. Careful design of clusters and setting of tuning parameters are super important to extract the maximum juice out of a big data application. Our expertise with these tools enables us to help our customers in deploying and running popular big data tools in an optimal and cost-effective way. Whether it is setting of right configurations for your query engines (like Hive), or enabling LLAP functionality for BI queries, we can optimize the query performance across a wide range of inputs. Choice of right backend (MR, Tez, Spark etc.) can dramatically impact the query performance and a sub-optimal choice can lead to degraded performance and increased operational costs.