I have just read the “Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics” paper and decided to write a short blog post going through some of the key moments of the paper’s motivation. Let’s start.
Here is the video of my talk on Modern Data Architecture from Java Day Kiev 2015
The slides are available here: Modern Data Architecture – JD Kiev v05
Here are the slides for the talk I just gave at JavaDay Kiev about the modern data architecture and different modern approaches of data processing:
If you’d like to download the slides, you can find them here: Modern Data Architecture – JD Kiev v05
Recently Cloudera announces new storage engine for fast analytics and fast data called Kudu. This is a very interesting piece of code and I couldn’t withstand an attraction of analyzing this technology deeper and going beyond the marketing.
The faster your data warehousing solution runs, the higher would be the business demand related to the speed of new data availability in their reports. Over the last time I’ve seen a number of attempts to build up a cool thing called “online DWH” – a data warehouse that is almost in sync with data sources and has its data marts and reports dynamically updated as new data flows into it. This is a very great and powerful thing, but unfortunately its implementation is not as straightforward as the business wants it to be.
