Data Lake 3.0

Vinod Kumar Vavilapalli describes the modern data lake:

During the past few years though, end-to-end business use-cases have evolved to another level.

  • The end-to-end business problems are now mostly solved by multiple applications working together.
  • As the platform matured, users have increasingly started wanting to solely focus on the business application layers, and getting impatient to get on with developing their main business-logic.
  • However, YARN, and for that matter any other related platform, hasn’t catered to this evolving need, leaving the users to unwillingly get involved in the painstaking details of wiring applications together, keeping them up, manually scaling them as need arises etc.

Manual plumbing of all these different colored services in tiresome! Further, there is a clear need for seamless aggregate deployment, lifecycle management and application wireup. This is the gap that needs to be bridged between what these end-to-end business use-cases need from the platform and what the platform offers today. If these features are provided, then the business use cases authors can singularly focus on the business logic.

This is a higher-level “where are we at?” kind of post which could be helpful if you’re new to the data lake concept.

Related Posts

Data Lakes And Data Swamps

Randolph West talks about data lakes: Internet companies including search engines (Google, Bing), social media companies (Facebook, Twitter), and email providers (Yahoo!, Outlook.com) are managing data stores measured in petabytes. On a daily basis these organizations handle all sorts of structured and unstructured data. Assuming they put all their data in one repository, that could […]

Read More

Building TensorFlow Neural Networks On Spark With Keras

Jules Damji has an example of using the PyCharm IDE to use Keras to build TensorFlow neural network models on the Databricks MLflow library: Our example in the video is a simple Keras network, modified from Keras Model Examples, that creates a simple multi-layer binary classification model with a couple of hidden and dropout layers and […]

Read More

Categories

March 2017
MTWTFSS
« Feb Apr »
 12345
6789101112
13141516171819
20212223242526
2728293031