6 Best Practices to Scale and Optimize Data Pipelines
Collecting and recording data in a proper format is crucial for further analysis and drawing actionable insights.
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Data Engineering
Data Lakehouse: Modern Cloud Data Engineering Strategy
This blog explores a relatively new concept called Data Lakehouse.
Asset hierarchy – The key to drive reliability engineering
A poor maintenance strategy is one of the biggest problems plaguing the oil and gas industry.
The Impact of Serverless Computing on Big Data
This blog will discuss the pros and cons of serverless architecture with a reference implementation detail.
Designing an ideal data ecosystem for at-scale analytics
This blog gives an ideal engineering stack to address data, infrastructure and governance related concerns.
Challenges in engineering Analytics platforms
Rethinking data platforms to enable digital transformation: Part 1 Evaluating the changing technology landscape Organizations a…
Decision-making by humans and AI-powered machines
Decoding the Data Science Terrain: Part 7 In the six previous posts in this series, we talked about a framework for mapping the…
The art of learning from data
Decoding the Data Science Terrain: Part 6 In part 6 of this series, we consider the aspect of learning from data. In today̵…
Key considerations for storing and processing data
Decoding the Data Science Terrain: Part 5 In the four previous posts in this series, we talked about a framework for mappi…
Diving deep into the Data collection
Decoding the Data Science Terrain: Part 4 In the three previous posts in this series, we talked about a framework for mapp…
Beginnings of the Information Supply Chain
Decoding the Data Science Terrain: Part 3 In the previous post in this series, we talked about use cases or ways to monetize an…
Tapping into the Analytics landscape
Decoding the Data Science Terrain: Part 2 In our previous post, we described a technology/process neutral framework for da…
The Data Science and Analytics framework
Decoding the Data Science Terrain: Part 1 Data and analytics is a vast and complex area, and it makes sense to start with a map…
Overcoming data quality challenges
The starting point for any company looking to gain an advantage through analytics is good data. The repercussions of basing bus…
Conversation with a Resident Analyst: Who is a data scientist-really?
Like many others, one year ago I was more of a spectator to the media hype surrounding the new buzz word “data scientist”. Bein…
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