📌 MLOps: Machine Learning Life Cycle
· ☕ 11 min read
MLOps Lifecycle strings model and software development together in an unified machine learning life cycle for CI/CD/CT of ML products.
📌 SQL vs. NoSQL Database: When to Use, How to Choose
· ☕ 12 min read
Difference between SQL and NoSQL database. When to choose NoSQL over SQL. Decision tree to pick from RDBMS, key-value, wide column, document, graph dbs.
📌 Scalable Efficient Big Data Pipeline Architecture
· ☕ 11 min read
Scalable and efficient data pipelines are as important for the success of data science and machine learning as reliable supply lines are for winning a war.
ChatGPT Alternatives That Deserve Your Attention
· ☕ 3 min read
Several Large Language Models are emerging: Google Bard/LaMDA, Meta's LLaMA, Amazon's Multimodal-CoT, HuggingFace's Bloom, and open-source ChatLLaMA.
Who Cares if Big Data Is Dead!
· ☕ 5 min read
What really matters is the quality of the data, the data literacy at the organization, and the motives behind using data analytics.
The Rise of ChatGPT: Separating Hype from Reality
· ☕ 6 min read
ChatGPT is part of OpenAI's GPT-3 family of large language models. It is immensely powerful but can confidently hallucinate too. Here is what ChatGPT can and can't do.
Machine Learning and MLOps Tools on Google Cloud
· ☕ 1 min read
Data and Machine Learning services on Google Cloud Platform (GCP) for end-to-end machine learning product lifecycle.
MLOps: All-in-One Platform vs Piecemeal Tools
· ☕ 2 min read
Should you choose an all-in-one MLOps platform from your cloud provider or cobble together a solution from piecemeal tools?
SQL Renaissance
· ☕ 3 min read
SQL is dead. Long live SQL. Why SQL is thriving even after 48 years. Resources to learn and master SQL.
Which Data Pipeline Orchestration Tool Is Right For You?
· ☕ 6 min read
With diverse data sources, multi-cloud, and data mesh scenarios becoming increasingly common, a misfit data pipeline orchestration tool can multiply your woes.