What big data and data warehousing challenges are you looking to solve for 2017?
Big data is critical for real-time decision-making, automated business processes and memorable customer experiences. But dealing with the massive volumes and varieties of data is a big job. That’s why so many organizations are optimizing their data warehouses for big data and leveraging cloud to get the most value from their data.
With so many important demands competing for your time, what challenges relating to big data and data warehousing are you looking to solve in 2017?