Data Technology Trend #8: Data Next — part 2

5 min readJun 21, 2021

This article is a part of a multi-part series Data Technology Trends (parent article). Previous article — Link: Data Technology Trend #7: Monetized. Previous section of this article — Data Technology Trend #8: Data Next — part 1and next part of this article —Data Technology Trend #8: Data Next — part 3.

Trend 8.1 Unified and Enriched Big Data and AI — Delta Lake

Few impressive features of Delta Lake:

The Data and AI Summit of 2021 announced several key features. Have listed few impressive features + the ones introduced recently. Of the other main features such as metadata handling, time travel, support for CRUD, etc. below are the notable and impressive features.

1. The Lakehouse architecture ->

A Lakehouse architecture consolidates/integrates the entire data sourcing till consumption. Delta Lake is an open-source project using which you can build Lakehouse Architecture. Delta Lake is a unification of Data Warehousing, Data Lake, and Analytics which can be built using the tools supplied by any of the modern cloud providers such as AWS / Azure or can be built from Data Bricks opting the tools or can be built using other modern technologies.

The Lakehouse architecture as a concept is not new. Ever since we started processing and ingesting the data and processing the same, the ultimate aim of the Datastore is to gain meaningful and actionable insights out of the data and make use of the data for business growth and performance. While it happens in silos across the organization in multi-tier mode, the introduction of Delta Lake, puts a structure around it and makes the data source, store, and share at ease. Based on the paper by Michael Armbrust, Ali Ghodsi, Reynold Xin, and Matei Zaharia, the below diagram depict the evolution of Delta Lake aka Lakehouse Architecture.

Even though many of the organization may be at first a two-tier architecture, the good news is that shifting to Lakehouse architecture and creating a Lakehouse architecture out of it is though complicated due to the massive and disparate data points, is not cumbersome or complex. Lakehouse Architecture is nothing but a complete bundle…


All the views expressed here are my own views and does not represent views of my firm that I work for. Data | Big Data | Cloud | ML