Tag "Data Lakes"
Switching to the carpool lane can be intimidating especially when you don’t have all the information available to you to safely make the lane change. For example, is the carpool lane open, is my blindspot clear to make the lane change? How do you efficiently collect bits and pieces of data at the right time... more
Last week, Prash Chandramohan and I presented a deep dive webinar on Informatica’s Marketing Data Lake to close to 700 attendees. As with any technical demo webinar, we weren’t able to address any questions during our one-hour slot as our focus was to ensure our attendees understood Informatica’s Marketing Data Lake’s key capabilities and features.... more
Organizations are looking for opportunities to reduce their on-premises datacenter footprint by offloading or extending on-premises applications, data warehouses, big data solutions to the cloud. Cloud deployments increase agility as they allow organizations to rapidly add new capabilities and scale up and down as their needs change. Cloud solutions free up IT resources from supporting... more
Every data lake is dynamic and never exactly alike which makes managing a data lake a daunting task. As we discussed in prior blogs, we know what’s in the lake and introduced a variety of fish to the lake, we need to manage a lake efficiently, making sure the water quality is good, weeds are... more
You’ve built a data catalog of fish (I’m using fish here as an analogy for data), identifying three categories: Near-shore, bottom-shore and off-shore fish and tagging fish according to various categories. Your catalog also goes one level deep by identifying different levels of plankton! What about introducing new varieties of fishes to the data lake?... more
“Different types of fish live in a community and when you understand their relationship to each other, you have a better chance of catching what you want.” thompsonadvertisinginc.com You navigated your way to the lake and read up on the fundamentals of fish management and introduced the data lake management principles. As you drove up to... more
It’s tough to fish for insights in a poorly designed Data Lake. When you decide to build a data lake, you first need three things: A strong foundation A design blue print A vision for the final product which end users will consume If done correctly, you end up with a delicious platter of fish. ... more