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Feature engineering usually happens outside the warehouse. But with Snowpark, you can build features directly inside Snowflake using Python or Scala. This means faster pipelines, better security, and
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Dynamic Tables are changing how data pipelines work in Snowflake. Instead of scheduled jobs and orchestration tools, you define a target lagβ€”and Snowflake keeps your data fresh automatically. Follow
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If your Snowflake queries are slow, the answer is in the query profile. It shows exactly where time is being spentβ€”scans, joins, or data movementβ€”so you can fix the real bottleneck. Follow the serie
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Snowflake doesn’t use indexes like traditional databases. Instead, it relies on micro-partitions and clustering to speed up queries and reduce data scans. Here’s a quick breakdown of how it works. F
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Snowflake’s architecture is the reason it scales effortlessly across analytics and AI workloads. In this reel, we break down the 3-layer architecture that makes Snowflake fast, flexible, and cloud-na
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This one question exposes whether AI is actually intelligent 🀯 GSM8K is a benchmark researchers use to test step-by-step reasoning in models like GPT, Gemini, and Claude. It’s not about memory β€” it’
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TPU vs GPU β€” which one actually powers the future of AI? πŸ€–βš‘ Here’s a super quick breakdown of the difference between Google’s TPU and NVIDIA’s GPU β€” speed, power, and real-world usage in 60 seconds.
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β€œYou’re building with AI… but do you really know what it’s doing? πŸ‘€β€ Meet LangSmith β€” the tool that lets you see your LLM think. 🧠 Debug. Trace. Optimize. ⚑ For builders who think in prompts. #L
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πŸš€ Building smarter agents with LangGraph! Think LangChain + state machines = πŸ’‘Next-level AI workflows. If you’re into autonomous agents, LLM orchestration, or just curious how memory + graph logic w
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What if your chatbot could actually think? LangChain = AI’s secret toolkit. It gives chatbots superpowers: APIs, memory, reasoning & actions. This is how AI assistants go from just talking β†’ to act
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πŸ€– AI agents talking to each other?! That’s not sci-fi anymore… it’s AutoGen. The future of agentic AI in just 60s. πŸš€ β € Would you trust multiple AIs to work as a team? πŸ‘€ β € πŸ‘‰ Follow @vyas_data_talks
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Batch or stream - which powers your favourite apps? In just 60 seconds , I explain the key difference between Batch Processing and Stream Processing Follow Vyas Data Talks for more #ai #analytics
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About @vyas_data_talks

Vyas Data Talks is a Instagram growing creator. With 42 followers and 17 posts, vyas_data_talks's account shows a follower-to-following ratio of N/A:1. View all content anonymously on Pictame - no login required.

vyas_data_talks's engagement rate sits at 18.06%. That's 261% above what you'd typically see for accounts with 1K-10K followers (average 5%) β€” a sign of a genuinely connected audience.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 15 days. Captions lean moderate, averaging 413 characters.

18.06% engagement rate β€” 261% above average for 1K-10K follower accounts.
Posts about every 15 days.

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@vyas_data_talks

Vyas Data Talks

Public
Posts
17
Followers
42
Top Hashtags
#MachineLearning#TechReels#Snowflake#DataEngineer#CloudData#AnalyticsEngineering#LearnDataEngineering#DataPlatform

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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#friends#music#smile#family#life#amazing#instagram#lifestyle#gym#motivation#sunset#dog
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Engagement
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Akshay Vyas | Data Enthusiast | Reels and Videos which simplify tech

www.youtube.com/@Vyasdatatalks
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