Sakthi (Sakthivel Manickam)

Excited to share that Vijay K. and I collaborated on a guide for Active-Active Replication on Amazon RDS for MySQL! This comprehensive resource is now available on AWS Solutions https://lnkd.in/d2nH2NH3 #aws #amazonrds #mysql #highavailability #disasterrecovery #rds #mysql

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🚀 Exciting day at Snowflake Data Cloud World Tour Mumbai 2024! ❄️ I had the privilege of attending the Snowflake Data Cloud World Tour in Mumbai, and here are some key takeaways from insightful sessions on the future of data and AI: 📊 Open Table Formats & Iceberg Support Exploring integration possibilities with Apache Iceberg and Polaris Discussions on ACID compliance, performance optimization, and data evolution 🛡️ Snowflake Horizon Unveiling a vision for unified data governance and security across clouds Concepts for simplifying management of data and apps from a centralized interface 🤖 Generative AI & LLMs Introduction to the Snowflake Arctic family of Large Language Models (LLMs) Exploring Snowflake Cortex as a pathway to democratize AI Emphasis on the "AI to Data, not Data to AI" approach for enterprises 🔒 Data Governance & Security Highlighting the importance of unified security and compliance measures Showcasing potential applications of Dynamic Data Masking for data protection 💻 Snowpark Container Service & ML API Demonstrations of running AI and full-stack apps within the Snowflake ecosystem Exploring possibilities for direct ML model execution and predictions 🔗 Native Apps & Data Sharing Discussing streamlined approaches to building and sharing data applications Insights into enhancing operational collaborations through data sharing 📄 Document AI & Unstructured Data Previewing tools aimed at extracting insights from unstructured data The event showcased Snowflake's vision for innovation, open standards, and efficient data management. It was fascinating to see the proposed solutions for various data challenges, from governance to AI implementation. Kudos to the speakers, including Sanjay Deshmukh Vijayant Rai Rahul Jain 🇮🇳 Kamesh Sampath and Sumeet Tandure Excited to contemplate how these concepts might shape our future data strategies! #SnowflakeWorldTour #DataCloud #AI #DataGovernance #Innovation

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Here is my new blog on Databricks's Key announcements during the Data+AI Summit. It contains all the new announcements with relevant details. https://lnkd.in/gD_cCdVp

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🚀 New Video Alert! 🚀 Just uploaded a new video on Amazon RDS where we dive into the availability and durability options for a single DB instance! 🎥 Learn how to keep your databases highly available and durable with AWS RDS. Whether you’re a cloud beginner or a seasoned pro, this video will help you understand how to configure your RDS for maximum performance and reliability. 📌 Watch now https://lnkd.in/dADJNsjp #AmazonRDS #AWSRDS #CloudComputing #DatabaseManagement #RDSHighAvailability #RDSTutorial #CloudDatabases #AWS #TechTips #NewVideo

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Wonderful explanation on various data engineering approaches with apt scenarios!! https://lnkd.in/gPk5TfUU

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🚀 Accelerate your workloads with NVIDIA RAPIDS Accelerator for Apache Spark. Find out how in this brief.

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Databricks Clean Rooms is built for any analytics and AI workload. Unlike many other existing solutions that limit functionality to only SQL queries on tabular data, Databricks Clean Rooms allows you to run your computations in Python.

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🎇 Light Up Your Data Insights this Diwali with BigQuery & Vertex AI Agent Builder! 🎇 Tired of fumbling in the dark to find insights in your BigQuery data warehouse 🕶? What if you could search your massive BigQuery datasets as easily as Googling 🤔? This Diwali, illuminate your data with the power of Vertex AI Search 🚀! Dive into my latest blog post to learn how to build a powerful, AI-driven search application for the 'tourism' use case. Link: https://lnkd.in/grt36_fU #Vertex_AI hashtag#Search hashtag#BigQuery Google Cloud

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❓ Want to convert natural language to SQL queries with AI? Check out this great course from deeplearning.ai!  This is incredibly timely, especially given the growing interest among my customers in developing SQL database agents. You'll learn different ways to turn natural language into SQL using Azure Open AI, Langchain, Function Calling, Assistants, and Code Interpreter, and then query your database. I highly recommend this course if you're looking for practical NL2SQL use cases. #artificialintelligence #databaseagents #llms #generativeai #azureopenai

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JINDALSTEL: How to derive targets using Diametric pattern and Ichimoku cloud See how we derived this trend for JINDALSTEL using these powerful indicators https://lnkd.in/dsiV5Ncz

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Thrilled to have earned the Snowflake Northstar Gen AI/ML Badge! 🎉 This achievement showcases my skills in creating forecasting and anomaly detection models using Snowflake Cortex, along with data visualization, feature evaluation, and more. Excited to apply these advanced capabilities! #Snowflake #DataScience #AI #ML

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Read why Pinterest migrated to TiDB from HBase to handle the increase in data size and to handle the increase in write traffic. Also how OLAP and OLTP traffic has been served by TiDB alone.

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🎇 Light Up Your Data Insights this Diwali with BigQuery & Vertex AI Agent Builder! 🎇 Tired of fumbling in the dark to find insights in your BigQuery data warehouse 🕶? What if you could search your massive BigQuery datasets as easily as Googling 🤔? This Diwali, illuminate your data with the power of Vertex AI Search 🚀! Dive into my latest blog post to learn how to build a powerful, AI-driven search application for the 'tourism' use case. Link: https://lnkd.in/grt36_fU #Vertex_AI hashtag#Search hashtag#BigQuery Google Cloud https://google.smh.re/4VfO

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Here's my latest article on Medium about a very small but key Design aspect of any Data Practitioner's journey, data checksum. #snowflake #snowflakeadvocate #checksum

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🚀 **Is there an AI tool for creating HLD and LLD for Big Data Engineering, Data Science, and AI/ML Designs?** 🤖 In today's fast-paced tech world, **Big Data Engineering**, **Data Science**, and **AI/ML** projects are getting increasingly complex. As architects, when we present High-Level Design (HLD) and Low-Level Design (LLD) to CTOs and leadership, it’s critical to have precision, clarity, and scalability in mind. 🌐 I’m curious – does anyone know of any **AI-driven tools** specifically designed to assist with **HLD/LLD creation** for these domains? Tools that could help architects streamline their design documentation for better decision-making? 🔍 **Looking for solutions** that can: - Generate architectural diagrams and detailed design specs automatically - Bridge the gap between business objectives and technical implementation - Help translate data science and AI/ML models into scalable, high-impact designs Feel free to **share your suggestions** or tag someone who might know. Let's see what the future of AI-assisted architectural design holds! 🤔 #BigData #DataScience #AI #ML #Architecture #Design #Innovation #HLD #LLD #AItools #TechLeadership

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Read my article about how B-tree indexes in InnoDB has been changed from 5.7 to 8 #mysql MySQL AB https://lnkd.in/gKnDS7_q

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Curious how to use Apache Hudi & Iceberg tables in Databricks environment? Check out this hands-on blog by Dipankar Mazumdar, M.Sc 🥑 that shows how to use Apache XTable to interoperate between the 3 table formats in a lakehouse architecture. 🔗 Link: https://lnkd.in/dwTdBinz #dataengineering #softwareengineering

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