📙 DWH vs Data lake vs delta lake =================================== DWH : Only Structured data Data Lake : Structured/Semi-Structured/Unstructured Delta Lake : Structured/Semi-Structured/Streaming DWH:Schema on write Data Lake :Schema on read Delta Lake :Schema on read DWH:Supports ACID Transaction Data Lake : Minimal support to ACID Transcation Delta Lake : Support ACID Transaction DWH: Does not corrupt the system Data Lake : Leaves system in corrupted state Delta Lake : Does not corrupt the system #databricks #spark #dataengineer #deltalake 👉 Follow Aman Maheshwari for more such content.
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Kusuma V E Sumit Mittal Completed Data modeling and system design and learned below topics. Normalization - 1NF, 2NF and 3NF (Normal Form) Modeling a Datawarehouse Fact and Dimension Table Surrogate Key Snowflake Schema Slowly Changing Dimension SCD- 0,1,2,3 One Big Table (OBT) #Bigdata #Dataengineering #SQL #Pyspark #ADF #Databricks #Structuredstreaming
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Database, Data Warehouse, Data Lake? Here's a good video explaining the differences and here's a documentation on Apache Pulsar's Lakehouse Tiered Storage: https://lnkd.in/ea3M3W7T https://lnkd.in/ehgjXZTy #database #datalake #datawarehouse #datalakehouse #pulsar
Database vs Data Warehouse vs Data Lake | What is the Difference?
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Embarking on a new journey of data exploration! 🚀 Just completed my SQL course with ETL Hive. Ready to unlock the power of databases and transform data into insights! 💡🔍 #DataJourney #SQLSkills #ETLHive #SQLJourney
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Unlocking the power of data: Your crash course on ETL in 90 seconds! #BigData #datavisualization #datascience #dataanalytics #database #etl #dataengineer #datawarehouse
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Journey to master practical data engineering 📊✨ 🔍 Task 2 of N: Data Warehousing Concepts 🏢? 🔍 🗝 Key Insights: 🎯 Database for real time transactions in OLTP 🎯 Data Warehouse for periodically freshened and summarized data produced after ETL on databases under OLAP (analytics ready data) 🎯 Data Lake is to store and manipulate all type of structed , un structured , semi structured data for ML/AI Tasks. 🎯 Extraction from OLTP source and application of data processing technique e.g. Aggregation and Normalization to store in OLAP instances is ETL 🎯 In normalized databases, main table is a facts table and supported ones are dimension tables resulting into Star Schema. An interconnected network it will snowflake schema and the process is Data Modeling ETL: Extract, Transform, load OLTP: Online transaction processing OLAP: Online analytical processing #ETL #Datalake #DataEngineering #LearningJourney #Data #warehousing #Databases #DataScience #TechExploration #CareerGrowth #Snowflake ↘ Resource(s): https://lnkd.in/dGx_2Wib https://lnkd.in/d3dQbhkv
Database vs Data Warehouse vs Data Lake | What is the Difference?
https://www.youtube.com/
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#DidYouKnow SOL BI builds a data lake with ETL services from your business data? Visit www.solbi.ai to explore how it works! #SOLBI #GenerativeAI #datalake #database #businessintelligence
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Just completed the Teradata SQL for Data Science and Data Analytics course! A great introduction to Teradata SQL – thoroughly enjoyed it! #DataScience #DataAnalytics #TeradataSQL
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Very well optimized and efficient Databricks cluster configuration solution for processing 1TB of data
6k+ Linkedin Family | Cloud Specialist in Azure, Databricks & Snowflake | Transforming Data into Insights | Building the Future of Data-Driven Decision Making
Cracking the Code: Mastering Databricks for 1TB Data Processing with Pro-Level Performance Tuning #dataengineer #bigdata #databricks #dataanaytics
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Remember our Data Engineering beginnings? From ETL to data pipelines, it all started here! Share your favorite memory! Contact us today - https://lnkd.in/d9swWvxR #ThrowbackThursday #DataEngineering #LearnAtRISE #DataJourney
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Cracking the Code: Mastering Databricks for 1TB Data Processing with Pro-Level Performance Tuning #dataengineer #bigdata #databricks #dataanaytics
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