Category Archives for data-engineer
Azure Synapse SQL Vs Dedicated SQL Pool Vs Serverless SQL Pool Vs Apache Spark Pool
➤ Azure Synapse Analytics? Azure Synapse Analytics is an analytics service that helps in data integration, data warehousing, and big data analytics. ➤ Azure Synapse SQL Azure Synapse SQL is a big data analytic service to query and analyze data. It is distributed query system enabling data warehousing and data virtualization. ➤ Apache Spark Apache […]
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Azure Data Engineer [DP203] Q/A | Day 6 Live Session Review
The blog post – https://k21academy.com/dp203day6 will cover the Q/A’s from Day 6 of Microsoft Azure Data Engineering [Dp-203] Certification in which we have covered Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines & Module 10: Optimize query performance with dedicated SQL pools in Azure Synapse FAQs. This blog will help you to […]
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Azure Data Engineer [DP203] Q/A | Day 5 Live Session Review
The blog post – https://k21academy.com/dp203day5 will cover the Q/A’s from Day 5 of Microsoft Azure Data Engineering [Dp-203] Certification in which we have covered Module 7: Ingest And Load Data Into The Data Warehouse and Module 8: Transform Data With Azure Data Factory Or Azure Synapse Pipelines FAQs. This blog will help you to get […]
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Azure Data Engineer [DP203] Q/A | Day 4 Live Session Review
The blog post – https://k21academy.com/dp203day4 will cover the Q/A’s from Day 4 of Microsoft Azure Data Engineering [Dp-203] Certification in which we have covered Module 6: Data Exploration and Transformation in Azure Databricks FAQs. This blog will help you to get started with Microsoft Azure Data Engineering [Dp-203] Certification. We will cover the following lessons: […]
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Azure Data Engineer [DP203] Q/A | Day 3 Live Session Review
The post – https://k21academy.com/dp203day3 will cover the Q/A’s from Day 3 of Microsoft Azure Data Engineering [Dp-203] Certification in which we have covered Module 4: Run Interactive Queries Using Azure Synapse Analytics Serverless Sql Pools And Module 5: Explore, Transform, And Load Data Into The Data Warehouse Using Apache Spark FAQs. This blog will help […]
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Microsoft Azure Data Fundamentals [DP-900] Free Live Training | Day 2 Q/A Review
This blog post will give a quick insight into our Microsoft Azure Data Fundamentals [DP-900] Class (Day 2) The Azure DP- 900 Certification is taken by beginners in Azure Cloud who want to know the Azure services available for building data solutions. Microsoft Azure DP900 Certification gives a holistic overview of the most common services […]
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Introduction To Modern Data Warehouse
⚡ A data warehouse gathers data from many different sources within an organization. This data is then used as the source for analysis, reporting, and online analytical processing (OLAP). The focus of a data warehouse is to provide answers to complex queries, unlike a traditional relational database, which is focused on transactional performance. ⚡ Organizations […]
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Delta Lake architecture!
📍 Delta Lake is an open-source storage layer that brings ACID (atomicity, consistency, isolation, and durability) transactions to Apache Spark and big data workloads. 📍 Using delta lake in a well-organized data lake can aid the integrity and performance of both batches and streaming data solutions. 📍 The common misconception made with Delta lake is […]
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Azure Data Engineer [DP203] Q/A | Day 2 Live Session Review
The Azure Data Engineer Certification is for Data Engineers who want to use Azure Data Services and components for end-to-end data processes (ingestion, transforming, loading) and for building their automated workflows. In Day 1 Live Session, we got an overview of Azure Data Engineer roles and related Azure Data Services along with a glimpse of […]
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Case Study: Big Data And Visualization
In our Big Data and Visualization case study, we deploy a web app using Machine Learning (ML) to predict travel delays given flight delay data and weather conditions. We build a complete Azure Machine Learning (ML) model, Integrate an Azure ML web service into a Web App, and visualize batch predictions on a map using […]
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