Don't go with the same bloated library and framework every time.

Choose your dependencies and code based on the use case and needs.

Are you storing each and every data in the data lake for future use and training the model?

Be aware of the hidden issues of data ingestion or a data lake becoming a data swamp soon

Take care of the below points to utilize the data lake in the best possible way:

Star Schema is not old school. It's a battle-tested design that still powers fast, scalable analytics.
One fact table. Multiple dimension tables.
Simple structure, massive performance gains.
Let’s unpack why it works.

If your product deals with banking systems, checkouts. Or where consistency is a must.
And your database isn't ACID compliant; you're gambling with your data integrity.

Here’s why ACID is the gold standard of reliable databases — and what each letter really means.
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Big Data isn't just about having a lot of data.
It's about managing complexity, speed, trust, and outcomes.
Enter the 5 V’s of Big Data — the foundation for data-driven decision-making.

Let's check out each of them.

Ever had your dashboards break because someone upstream renamed a column?
That’s where Data Contracts come in.
A game-changer for reliable, predictable data pipelines. Here's how they work

Not all AI models are the same.
From understanding language to generating art, different model types power different use cases.

Here’s a breakdown of key AI/ML model types you should know (with top examples).

LLaMA 4 just dropped a few days ago, with major upgrades in reasoning and context length.
Want to try it locally without setting up complex infrastructure?
Meet Ollama — the fastest way to run LLaMA 4 (and other open-source LLMs) on your machine.

Private, offline, and surprisingly fast.

Want to build a modern data pipeline in GCP for your G Suite data?

Here’s the blueprint used by data teams to go from raw data to insights—fast, scalable.

Start with: Cloud Storage
Think of it as your landing zone for raw data—durable, reliable, and similar to AWS S3, Google Drive.

Ever wondered how models like GPT actually understand language?

They don’t read left-to-right or right-to-left.
They read everything at once.
Here’s how the Transformer changed the game in Machine Learning:

AI 2025: Brains, Bots, and Breakthroughs.
Let's see some of the trends for AI in the upcoming months.

- Agentic AI: Agents that plan, gather, and collect
- Inference time computation improvements: Faster AI, more thoughtful responses, lower cost.