#Databricks Data Governance

🚀 Day 3 of Learning Databricks!✨️ Today, I explored what Databricks is and why we actually need it. It’s not just another tool – it’s a unified platform that brings together data engineering, analytics, and AI in one place. • Key features I discovered today: • Manage scalable clusters with ease • Collaborate in powerful notebooks • Use SQL Warehouse for direct querying • Build automated ETL workflows • Set up alerts for monitoring jobs • Even run ML & AI workloads seamlessly Why Databricks? Because it replaces 4–5 different tools and gives you one ecosystem to handle everything – saving time, cost & effort! This was my Day 3 learning Tomorrow, I’ll dive deeper into its components – stay tuned for Day 4 💻 . . [Inspiration, motivation, corporate, job, morning, unskilled, employment, unemployment, corporate girlie, dataengineer, womenintech, science, ai, data scientist, hardwork, work, employment, study, switch, jio, reliance, study, learn, mumbai]

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Another powerful session with the cohort. Data Management is not theory. It is not “them say.” It is structured, strategic, and executed based on real organisational realities. In this clip, I was walking my mentees through what the first 30 days of a Data Governance implementation should look like for a banking client project they’re working on. Not guesswork. Not recycled slides. But a roadmap built from verifiable, hands-on experience spanning over two decades delivering governance frameworks in regulated environments. Because knowing definitions is easy. Designing and executing in a live financial services environment is different. This is how we build practical capability — not course completion certificates. #DataGovernance #DataManagement #BankingTransformation #DataLeadership #InformationGovernance

Microsoft Purview is a comprehensive data governance platform to govern data across private, hybrid and multi cloud environments. Azure Databricks is an end-to-end analytics platform built on Spark. Unity Catalog in Azure Databricks provides centralized security, access control and governance for the entire data estate managed through Azure Databricks. Great news! Microsoft Purview now integrates with Azure Databricks enabling users to govern data in Azure Databricks Lakehouse and have Meta data from Unity Catalog be available through Microsoft Purview Data Catalog. #microsoft #azure #microsoftpurview #azuredatabricks #datagovernance #dataanalytics

Databricks CEO Ali Ghodsi says LLMs are becoming a commodity. 📉 If anyone can switch from GPT-4 to Claude in a day, where does the real value go? It’s not the model it’s the data you own and the governance layer protecting it. The next 5 years belong to the apps that solve the “coordination overhead” of giant companies. #alighodsi #databricks #glean #bradgerstner #bg2pod

Update - Specify location in databricks managed catalog and schema #dataengineering #databricks #bigdata #viral #instareels

Performing joins especially with large datasets will be a huge challenge in data processing. Here is the fix. 👇 1️⃣ Make a broadcast join Instead of shuffling 50TB of data across the network to find matches, you should send a copy of the small table to every single worker node. 2️⃣ Map-Side Operation This converts the operation into a local lookup. Each executor holds the full 100MB table in RAM and joins it against its local slice of the 50TB data. 3️⃣ The Memory Trap Be careful -> if that “small” table grows too big (e.g., 2GB), broadcasting it will cause Out-Of-Memory (OOM) errors on the executors and crash the application. 4️⃣ Configuration Threshold Check the spark.sql.autoBroadcastJoinThreshold. If the table is slightly larger than the default (usually 10MB), the system might default to a slow Sort-Merge join unless I increase this limit. #dataengineering #bigdata #coding 🏷️ Data Engineering, Apache Spark, Coding Interview, Tech Interview, Big Data Processing, Spark, Python

What's the difference between database and data warehouse? Find out the full version in our video linked in bio. ______________ #AltexSoft_video #data #dataengineering #database #datawarehouse #dataengineer #warehouse #datascience #AI #datamanagement

If you want to crack Data Science jobs in the next 30 days, here’s the three step process which you will follow which literally no one talks about. . . . #datascience #data #interview

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Looking to streamline 🚀 your data warehouse migration to Databricks? Watch our on-demand webinar where experts from Impetus, Copa Airlines, and Databricks discuss: 📌 The key challenges enterprises face while migrating data warehouse workloads 📌 How end-to-end automation can address various migration complexities 📌 How Impetus’ accelerators like LeapLogic and Unity Catalog Migration Accelerator power disruption-free modernization Watch now: https://lnkd.in/dT8GbVjB #databricks #cloudmigration #datawarehouse #governance #automation #unitycatalog

AI-Powered Automation: Trust, Efficiency & Security Is your business bogged down by manual processes and data silos? Scaling AI shouldn’t come at the cost of security and governance! Join our exclusive webinar to explore how AI-powered agents are revolutionizing automation with Databricks —ensuring real-time data processing, enterprise-grade security, and seamless compliance. Gain expert insights, see AI in action, and discover how leading companies are driving efficiency with AI-driven workflows. Don’t miss out—register now and take your AI automation strategy to the next level! https://ow.ly/gEPB50VbI5s #AI #Automation #Databricks #AITransformation