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Querying AWS Athena and getting the results in Parquet format

At Dativa, we use Athena extensively to transform incoming data, typically writing data from the Athena results into new Athena tables in an ETL pipeline. This is relatively straightforward to implement but it can be costly because Athena does not currently supporting executing queries to a compressed format. In …

Dativa named Top 25 Amazon Cloud Solutions provider

We are delighted to have been named a Top 25 Cloud Solutions provider for 2018 by CIO Applications Magazine. The editorial board of CIO Applications selected Dativa for the role it plays in helping to fill "the unmet requirement for thousands of data engineers and data scientists who can …

Creating value from first-party TV data in the Nordics

Nordic TV operators can capitalise on the first-party data they already possess to drive TV advertising revenues in the region. The data’s potential lies in its much higher granularity than existing sources, and this enables it to tell marketers who watched which programs and ads, and for how …

Exploring the seismic shift from research to big data analytics

One of the more interesting and less-talked-about elements of big data is how it interacts with what was prevalent before it came along – namely, more traditional research methods. There has been a seismic shift in how companies approach their fundamental business problems over the last few years from a …

Best Practice Data Pipeline Architecture on AWS in 2018

Last year I wrote about how Dativa makes the best technology choices for their clients from an ever-increasing number of options available for data processing and three highly competitive cloud platform vendors. As an Amazon Web Services Consulting Partner, Dativa has been recognized by AWS for their ability to …