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Azure Synapse Analytics is changing the way we work with data services in Azure. The ASA workspace combines the core technologies required for data warehousing, Big Data Analytics and Data Science. In this Learn with the Nerds event, Mitchell Pearson will teach you how you can use Synapse Analytics to solve the paradox of analytics with a unified analytical platform where your data analysts, data engineers and data scientists can all perform essential tasks in the same workspace. Mitchell will discuss Dedicated and Serverless SQL Pools, integration with Azure Data Lake, performing ETL with pipelines and data flows, Synapse notebooks and finally the built-in Power BI integration capabilities! So come and join Mitchell as you explore the many features which make Synapse Analytics the industry-leading analytics platform. What You'll Learn: ✔️ SQL Pools ✔️ Integration with Azure Data Lake ✔️ Perform ETL with pipelines and data flows ✔️ Synapse notebooks ✔️ Built-in Power BI integration capabilities After you finish this course: 📄 If you have completed this class and would like a certificate, fill out this form - 🤍 👉 Download The Nerd's Guide to Azure Synapse for FREE! 🤍 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Next step on your journey: 👉 On-Demand Learning - Start With The FREE Community Plan: 🤍 🔗Pragmatic Works On-Demand Learning Packages: 🤍 🔗Pragmatic Works Boot Camps: 🤍 🔗Pragmatic Works Hackathons: 🤍 🔗Pragmatic Works Virtual Mentoring: 🤍 🔗Pragmatic Works Enterprise Private Training: 🤍 🔗Pragmatic Works Blog: 🤍 Let's connect: ✔️Twitter: 🤍 ✔️Facebook: 🤍 ✔️Instagram: 🤍 ✔️LinkedIn: 🤍 ✔️YouTube: 🤍 Pragmatic Works 7175 Hwy 17, Suite 2 Fleming Island, FL 32003 Phone: (904) 638-5743 Email: training🤍pragmaticworks.com #PragmaticWorks #MitchellPearson #Training #Microsoft #Azure #AzureSynapse #Cloud #LearnWithTheNerds Any sale mentioned in the video are no longer valid. Offers are subject to change with/without notice and are for a limited time only. -~-~~-~~~-~~-~- Please watch: "(275) Free Pragmatic Works Power Apps Component Library " 🤍 -~-~~-~~~-~~-~-
Have you heard about Azure Synapse Analytics! Is your data in Synapse? It's so much more than SQL Server! Adam and Patrick look at why you should care about it! What is Azure Synapse Analytics? 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #AzureSynapse #Intro #GuyInACube
Not sure where to begin with Azure Synapse Analytics? Patrick gets you started and teaches you the clicks to get up and running quickly! Get Started with Azure Synapse Analytics 🤍 Learn how you can become an Azure Synapse Influencer: 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #AzureSynapse #GetStarted #GuyInACube
Getting started with Azure Synapse Analytics? Here are 5 things you should know as you begin your journey! Already been using Synapse SQL dedicated pools? Are you aware of these items? Connect with Shane: 🤍 Best Practices: 🤍 What is dedicated: 🤍 Table Distribution: 🤍 Indexes: 🤍 Statistics: 🤍 Data Loading: 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #AzureSynapse #BestPractices #GuyInACube
In this video, I discussed about overview of Azure Synapse Analytics Link for Azure Synapse Analytics Playlist: 🤍 Link for Azure Databricks Play list: 🤍 Link for Azure Functions Play list: 🤍 Link for Azure Basics Play list: 🤍 Link for Azure Data factory Play list: 🤍 Link for Azure Data Factory Real time Scenarios 🤍 Link for Azure LogicApps playlist 🤍 #Azure #AzureSynapse #AzureSynapseAnalytics
Learn how to create a Synapse workspace, add users to the same workspace, and analyze public data sets with the serverless SQL pool and Apache Spark pool. Learn more: 🤍 #Microsoft #Azure
Microsoft Azure Fundamental full course. Skills Learned - Describe Azure Big Data & Analytics Services such as - Azure Synapse Analytics - Azure HDInsight - Azure Databricks Study Materials: 🤍 * Episode Resources * 📚 Study cheat sheet 🤍 * 🧠 Practice Test 🤍 * Study Guide * Microsoft Azure: Azure Synapse Analytics 🤍 * Microsoft Azure: Azure HDInsight 🤍 * Microsoft Azure: Azure Databricks 🤍 * 🌐 Wikipedia: Big Data 🤍 * Expand your knowledge - extra resources * Microsoft Documentation: Azure Synapse Analytics 🤍 * Microsoft Documentation: Azure HDInsight 🤍 * Microsoft Documentation: Azure Databricks 🤍 * 🌐 Apache Spark Homepage: Overview 🤍 * Azure Databricks Tutorial | Data transformations at scale 🤍 Agenda 00:00 Episode introduction 00:30 What is big data? 01:42 Azure Synapse Analytics 04:15 Azure HDInsight 05:27 Azure Databricks 09:24 Summary of Big Data services ### Want to connect? - Blog 🤍 - Twitter 🤍 - Facebook 🤍 - LinkedIn 🤍 - Site 🤍
Sobre esta sessão: Infraestrutura como Código (IaC): como usar Terraform para implementação e gerenciamento de recursos de dado do Azure, tais como SQL database, CosmosDB, Databricks, Storage Account, Data Lake and Synapse. Recursos de aprendizagem complementar 🤍 A quem se destina? Profissionais de TI que desejam aprender mais sobre Recursos de Dados do Azure, Terraform e Infraestrutura como Código (IaC). Por que devo participar? Infraestrutura como Código (IaC) é uma tecnologia largamente adotada em todo o mundo. Nesta sessão, teremos uma demo com a criação de scripts de Terraform para implementação, atualização e exclusão de recursos de Azure. Speaker: Wagner Crivelini - Consultor de Data & AI na Microsoft Colunista de portais de tecnologia (SQLServerCentral, iMasters, Databasecast) com +250 publicações, sempre tratando de tecnologias relacionadas a dados e inteligência artificial. [eventID:21158]
In this full course we will go over important labs that will show how to use Azure Synapse Analytics for your data needs. We will go over these labs individually so you can understand. This is a good beginners course for someone who is looking to get started with Microsoft Azure Synapse Analytics. #azuresynapse #datawarehouse #etl #bigdata #fullcourse
How do you know if you are following best practices for Azure Synapse Analytics? One way is to check out this report that Patrick walks through. It's a great way to get an understanding where your database is at! Azure Synapse Analyzer Report to monitor and improve Azure Synapse SQL Dedicated Pool performance 🤍 Download Location: 🤍 Maximizing rowgroup quality for columnstore indexes in dedicated SQL pool 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #AzureSynapse #BestPractices #GuyInACube
This is the first video in a series of videos that will be released each Tuesday explaining and walking through the different aspects of Azure Synapse Analytics. Mitchell will explain the purpose of ASA and the different services contained within. This includes Azure Data Lake, Serverless SQL Pools, Dedicated Pools, Apache Spark and Notebooks, Pipelines and Data Flows and Power BI Integration! 👍 If you enjoy this video and are interested in formal training on Power BI, Power Apps, Azure, or other Microsoft products you can use my code "Mitchell30" at check out when purchasing our On-Demand Learning classes to get an extra 30% off - 🤍 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Next step on your journey: 👉 On-Demand Learning - Start With The FREE Community Plan: 🤍 🔗Pragmatic Works On-Demand Learning Packages: 🤍 🔗Pragmatic Works Boot Camps: 🤍 🔗Pragmatic Works Hackathons: 🤍 🔗Pragmatic Works Virtual Mentoring: 🤍 🔗Pragmatic Works Enterprise Private Training: 🤍 🔗Pragmatic Works Blog: 🤍 Let's connect: ✔️Twitter: 🤍 ✔️Facebook: 🤍 ✔️Instagram: 🤍 ✔️LinkedIn: 🤍 ✔️YouTube: 🤍 Pragmatic Works 7175 Hwy 17, Suite 2 Fleming Island, FL 32003 Phone: (904) 638-5743 Email: training🤍pragmaticworks.com #PragmaticWorks #MitchellPearson #Azure #AzureSynapse -~-~~-~~~-~~-~- Please watch: "(275) Free Pragmatic Works Power Apps Component Library " 🤍 -~-~~-~~~-~~-~-
Welcome to our Fabric Espresso series! In this video Bogdan joins Stijn to talk about Microsoft Fabric and what place Azure Synapse has in all of this. We will talk a bit more deep on the engine that was created for Fabric Warehouse and how it compares to Dedicated SQL Pools! Polaris white paper: 🤍 Bogdan Crivat - VP Synapse Analytics 🤍 🤍 Stijn Wynants - Senior Program Manager 🤍 🤍 🤍
Have you ever found yourself at the start of an Azure data engineering project, unsure about what tool to choose? Speak no more! In this session we will discuss three often used data engineering tools on Azure: - Azure Data Factory - Azure Databricks - Azure Synapse Analytics Speaker: Lisa Hoving 🤍 🤍 Tags: Azure,Synapse Analytics,Spark,Data Lake,Managing,Successful Delivery,Data Bricks,Architecture & Infrastructure,Big Data & Data Engineering
Trying to get started with a Modern Data Lakehouse? There are so many options today. Where do you even begin? Patrick and Stijn help you get a handle on it with Azure Synapse Analytics! Stijn Wynants 🤍 Building a Modern Lakehouse Data Warehouse with Azure Synapse Analytics: Moving your Database to the lake 🤍 Pipelines and activities in Azure Data Factory and Azure Synapse Analytics 🤍 Integrate with pipelines 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #AzureSynapse #Pipeline #GuyInACube
Using Spark in Azure Synapse Analytics opens up a lot of possibilities to work with your data. Venk joins us to get you started with setting it up and quickly using data. Connect with Venk: 🤍 Apache Spark in Azure Synapse Analytics 🤍 Azure Open Datasets 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #AzureSynapse #Spark #GuyInACube
In this video, I discussed about basic concepts and terminology in Azure Synapse Analytics Link for Azure Synapse Analytics Playlist: 🤍 Link for Azure Databricks Play list: 🤍 Link for Azure Functions Play list: 🤍 Link for Azure Basics Play list: 🤍 Link for Azure Data factory Play list: 🤍 Link for Azure Data Factory Real time Scenarios 🤍 Link for Azure LogicApps playlist 🤍 #Azure #AzureSynapse #AzureSynapseAnalytics
Scale your data in Power BI with Azure Synapse Analytics! Azure Synapse can take your data to the next level with great performance. Connect with Josh Caplan: 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #PowerBI #Synapse #GuyInACube
Link to Github: 🤍 Link to Azure Synapse Analytics Video 1: 🤍 Link to Azure Synapse Analytics Video 2: 🤍 In this video, we will learn 1. What is Datapipeline? 2. What is ETL (Extract, Transform, and Load) ? 3. How to write ETL in pyspark (Apache Spark) ? a. Read the data from Azure DataLake Gen 2 b. Clean the data c. Transform the data d. Load the data into Spark managed table 4. Building the First Data Pipeline with ETL in Azure Synapse Analytics a. Run PySpark ETL b. Wait c. Copy Spark data in Azure SQL Database d. Run a stored procedure on Azure SQL table to update records #AzuresynapseAnalytics #SynapseAnalytics #DatapipelineAzuresynapseAnalytics #ETLAzuresynapseAnalytics ETL in Azure Synapse Analytics using pyspark Azure Synapse Analytics data pipeline demo Azure Synapse Analytics data pipeline tutorial Azure Synapse Analytics data pipeline tutorial for beginners Email: datatechdemo2🤍gmail.com
Azure Synapse is now generally available. Check out the updates with the release and a first look at additional capabilities coming soon. If you're new to Azure Synapse, it's Microsoft's limitless analytics platform that brings together enterprise data warehousing and big data processing into a single managed environment with no systems integration required. John Macintyre, engineering lead for Azure Synapse, joins host Jeremy Chapman to provide details on the newest updates, and walk through how a grocery retailer might use new capabilities in Synapse to plan inventory levels. Preview capabilities in the Synapse workspace now ready for production workloads: • Azure Synapse Link, the first cloud-native HTAP solution. • SQL Serverless, now generally available. • For analytics with Spark, we've built performance optimizations for our implementation of Apache spark. New capabilities, formerly in preview, are now available and fully supported: • New knowledge center gives you pipeline templates to bring data in sample scripts for analytics, automation, and notebooks. • Bring data into Synapse for advanced analytics and to enrich that data in code-free ways and apply your Azure machine-learning models. Added for data admins: • Connect to your data and storage securely through managed private endpoints. • You no longer have to manage subnets, worry about IP ranges, or configure private endpoints. You don't need deep networking knowledge. ► QUICK LINKS: 00:00 - Introduction 00:46 - Preview capabilities now ready for production workloads 02:07 - New capabilities that are available and fully supported 02:55 - Updates added for data admins 04:15 - Demo: How a Grocery retailer might use new capabilities in Synapse 08:59 - Demo: How to bring in historical data 10:28 - Demo: How to perform predictive analytics for yourself 12:48 - Demo: How to push it all into production 13:24 - Closing notes ► Link References: Sign up for a trial, or create your first Synapse workspace at 🤍 Unfamiliar with Microsoft Mechanics? We are Microsoft’s official video series for IT. You can watch and share valuable content and demos of current and upcoming tech from the people who build it at #Microsoft. Subscribe to our YouTube: 🤍 Follow us on Twitter: 🤍 Follow us on LinkedIn: 🤍 Follow us on Facebook: 🤍 #AzureSynapse #Azure #Analytics
Not sure on whether to choose Serverless versus SQL Dedicated Pools with Azure Synapse Analytics? Brad Schacht joins Patrick to talk about how to make the choice and get going with your data! Serverless SQL Pool 🤍 Dedicated SQL Pool 🤍 Brad Schacht: Twitter: 🤍 LinkedIn: 🤍 Blog: 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #AzureSynapse #sqlpools #GuyInACube
In this video, I discussed about creating your first Azure Synapse Analytics workspace Link for Azure Synapse Analytics Playlist: 🤍 Link for Azure Databricks Play list: 🤍 Link for Azure Functions Play list: 🤍 Link for Azure Basics Play list: 🤍 Link for Azure Data factory Play list: 🤍 Link for Azure Data Factory Real time Scenarios 🤍 Link for Azure LogicApps playlist 🤍 #Azure #AzureSynapse #AzureSynapseAnalytics
Join this channel to get access to perks: 🤍 Microsoft Azure Synapse Analytics Tutorial | Azure Synapse Studio |BI Consulting Pro |Azure Tutorial Download resource material from here: 🤍 (this has scripts pdf and data file). Free Video Tutorials * AZ-900 Exam Practice Papers: 🤍biconsultingpro.com/courses * Free Azure Data Factory Tutorial: 🤍 * Free Azure Databricks Tutorial: 🤍 * Power BI Service Tutorial: 🤍 * Free DAX tutorial: 🤍 * Power BI Crash Course: 🤍 Important Links * PL-300 Exam Tutorial: 🤍 * How to make a career in Power BI? : 🤍 * Row-Level Security in Power BI Tutorial: 🤍 * Power Query Tutorial for the beginners: 🤍 * For the DP-203 Exam Tutorial: 🤍 * Power BI Admin Tutorials Series: 🤍 * For more DAX Videos: 🤍 * For more Weekly Videos: 🤍 * Power BI in Hindi: 🤍 * Power BI Free Data Sources: 🤍 * Data Modelling in Power BI: 🤍 * Power BI Audit Log: 🤍 * Real-Time Data Analytics using Power BI: 🤍 *Most Popular Videos on Our Channel* * How to pass DA-100/PL-300 Exam: 🤍 * Data Classification in Power BI: 🤍 * Sensitivity Labels in Power B: 🤍 * Create and manage Sensitivity Labels in Power BI: 🤍 * What is Power BI Service? 🤍 * Power BI Data Model Analysis: 🤍 * Filter Propagation Concept: 🤍 * Dynamic Page Navigation with RLS Video: 🤍 * Incremental Refresh in Power BI: 🤍 * Create Date Table in Power BI: 🤍 * Deployment Pipelines in Power BI: 🤍 * XMLA EndPoint Connectivity in Power BI: 🤍 * RLS Vs OLS in Power BI: 🤍 * Power BI Data Gateway: 🤍 * Anomaly Detection in Power BI: 🤍 * Smart Narrative Visual in Power BI: 🤍 * Free Datasources for Power BI: 🤍 * Free Data Sources to Practice Power BI: 🤍 ☎️ LET'S CONNECT! 🐥 Twitter: 🤍 ☞ Instagram: 🤍 ➥ Facebook: 🤍 🧑💻 Website: 🤍biconsultingpro.com #azuresynapse #azuretutorial #BIConsultingPro #azure #ajaykumar
Bring big data into Azure Synapse Analytics from your Microsoft 365 and related services with Microsoft Graph Data Connect to get a 360-degree view of your organization's collaboration: 🤍 This works internally and externally with your network of customers, suppliers and partners. Discover data that can help lead to lower burnout and may help improve productivity and onboarding if you are new to role. Harness information that goes above and beyond what’s possible compared to other reporting options in Microsoft 365, and get available solution templates to quickly get started. Principal Program Manager Lead from the Microsoft Graph team, Jeremy Thake, joins Jeremy Chapman to show how to keep people and your organization connected with Microsoft Graph Data Connect and Azure Synapse. ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: 🤍 • Talk with other IT Pros, join us on the Microsoft Tech Community: 🤍 • Watch or listen from anywhere, subscribe to our podcast: 🤍 • To get the newest tech for IT in your inbox, subscribe to our newsletter: 🤍 ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: 🤍 • Share knowledge on LinkedIn: 🤍 • Enjoy us on Instagram: 🤍 • Loosen up with us on TikTok: 🤍 #AzureSynapse #BigData #Azure #PowerBI #BigDataAnalytics #Microsoft365 #API #AzureAD
SQL developers can easily leverage Big Data power using Azure Synapse Serverless SQL pool with no-code Spark tables to access Parquet files in Azure Data Lake. Learn the fundamentals of building a simple fact table in a Logical Data Warehouse (LDW), then build a Power BI dashboard with your new warehouse.
Link to Github: 🤍 Link to Azure Datalake Gen 2: 🤍 In this video, we will learn 1. What is Azure Synapse analytics? 2. Where it fits in Data engineering world? 3. How to create and set up a Synapse workspace? 4. A quick tour of Azure Synapse studio. 5. How to create a dedicated SQL pool using Synapse Studio? 6. How to create an Apache Spark pool using Synapse Studio? 7. Using serverless SQL pool with parquet file. 8. How to create spark tables using Apache Spark pool in Synapse Studio? 9. How to create SQL tables using a dedicated SQL pool in Synapse Studio? 10. How to use SQL/Spark pool interchangeable? #AzuresynapseAnalytics #SynapseAnalytics Azure Synapse Analytics Azure Synapse Analytics demo Azure Synapse Analytics tutorial Azure Synapse Analytics tutorial for beginners Email: datatechdemo2🤍gmail.com
In this video, we talked about an overview of Azure Synapse Analytics.To access full course you can visit our official site 🤍
Presentation from Sytac Azure Night 🤍 Have you ever found yourself at the start of a data (engineering) project, unsure about what tool to choose? Speak no more! In this session we will discuss three often used (data engineering) tools on Azure: - Azure Data Factory - Azure Databricks - Azure Synapse Analytics First, I will give a brief introduction to each tool, including for what use cases they are commonly used. Next, we will talk about what makes these tools different, and where they overlap (and believe me, they do). Lastly, we will arrive at our conclusion: when to use what. Of course, a slide on differences in costs will be included as well. Lisa is a friendly Data Engineer from the neighbourhood. Her background comes in Finance, but she has had the pleasure to be working in IT for the past 5 years. At Intercept, she helps customers in migrating their data applications to the Azure cloud.
In any distributed system, for efficient parallel processing and for better performance, the data distribution strategy to store data evenly and colocation of data across nodes play important roles. In this video, in the context of Azure Synapse Analytics – dedicated SQL pool, I am going to walk you through data distribution strategy - by way of distributions, different data strategies like round robin and hash and finally replicated table - and best practices to provide prescriptive guidelines in-terms of when to use which and what are the consideration for better performance. 0:00 Introduction of distributed system and data distribution 7:14 Table types in SQL pools 8:40 Round Robin Distribution - Introduction 13:18 Hash Distribution - Introduction 16:42 Concept of distribution and how it maps to compute nodes 22:48 Round Robin Vs Hash - Example and performance differences 35:51 Round Robin Vs Hash - Analyze execution plans 42:52 Round Robin Vs Hash - Join Compatibility 49:30 Hash Distribution - Data skewness 51:51 Round Robin - Best Practices and Guidelines 53:58 Hash Distributed - Best Practices and Guidelines 59:17 Replicated Table - Introduction, Best Practices and Guidelines 1:03:24 Replicated Table - Example Thank you for watching, in my next video, I am going to talk in detail about columnstore index and how it helps in improving performance for analytical queries. Stay tuned. GitHub Repo to download deck and script used in the video: 🤍 Sample Databases 🤍 Table Design 🤍 🤍 🤍 Memory and concurrency limits 🤍
In this episode Mitchell will introduce you to the basics of ETL in Azure. You will learn how to build a basic pipeline and copy activity in Synapse Analytics. You will learn how to create a dataset and then how to create a pipeline and execute that pipeline! 👍 If you enjoy this video and are interested in formal training on Power BI, Power Apps, Azure, or other Microsoft products you can use my code "Mitchell30" at check out when purchasing our On-Demand Learning classes to get an extra 30% off - 🤍 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Next step on your journey: 👉 On-Demand Learning - Start With The FREE Community Plan: 🤍 🔗Pragmatic Works On-Demand Learning Packages: 🤍 🔗Pragmatic Works Boot Camps: 🤍 🔗Pragmatic Works Hackathons: 🤍 🔗Pragmatic Works Virtual Mentoring: 🤍 🔗Pragmatic Works Enterprise Private Training: 🤍 🔗Pragmatic Works Blog: 🤍 Let's connect: ✔️Twitter: 🤍 ✔️Facebook: 🤍 ✔️Instagram: 🤍 ✔️LinkedIn: 🤍 ✔️YouTube: 🤍 Pragmatic Works 7175 Hwy 17, Suite 2 Fleming Island, FL 32003 Phone: (904) 638-5743 Email: training🤍pragmaticworks.com #PragmaticWorks #MitchellPearson #Azure #AzureSynapse -~-~~-~~~-~~-~- Please watch: "(275) Free Pragmatic Works Power Apps Component Library " 🤍 -~-~~-~~~-~~-~-
We're looking at Delta tables in Azure Synapse Analytics in this video, specifically around partitioned Delta tables. We'll be looking at what happens when you create and query Delta partitioned tables in both Spark (Lake Databases) and Serverless SQL Pools databases. Blog: 🤍 🤍 Branding by GPJ Studio 🤍 Music by 🤍bensound.com
Nesse video demostraremos a integração de dados e os componentes principais que auxiliam o Synapse Pipelines na criação, ingestão, orquestração, transformação e carga de dados para workloads de engenharia e big data no Azure. Material Referência: - 🤍 - 🤍 Não esqueça de deixar o seu like, se inscrever no canal, ativar as notificações e comentar sobre o que gostaria de ver aqui sobre Azure Synapse Analytics. Nos ajude a compartilhar esse vídeo para que mais pessoas tenha acesso a esse conteúdo. Um abraço e até o próximo vídeo. #microsoftazure #azuresynapseanalytics #synapsepipelines #azuresynapse
Details A modern data warehouse lets you bring together all your data at any scale easily, and means you can get insights through analytical dashboards, operational reports, or advanced analytics for all your users. Also, it should allow data professionals working on analytics to unleash their full potential, no matter what skills they have and what programming languages they prefer. The purpose of this session will be to present the capabilities of Azure Synapse Analytics that make it a great platform for modern data warehousing, and at the same time to provide the attendees with a solid foundation in preparing for the Data Engineering on Microsoft Azure certification. Pawel Potasinski, Senior Program Manager at Microsoft. Member of the Azure Synapse Analytics product team focused on community management and engagements. In his professional career, Pawel has always been associated with data engineering and analytics (SQL, BI, Big Data). Founder of the Polish SQL Server Users Group (PLSSUG), today known as Data Community Poland. Former Microsoft Most Valuable Professional (MVP).
In this episode Mitchell Introduces you to the Azure Data Lake store. The Azure Data Lake store is very important for Azure Synapse Analytics and in this video you will get familiar with provisioning the Azure Data lake store and also the Azure Data Lake Storage Explorer. 👍 If you enjoy this video and are interested in formal training on Power BI, Power Apps, Azure, or other Microsoft products you can use my code "Mitchell30" at check out when purchasing our On-Demand Learning classes to get an extra 30% off - 🤍 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Next step on your journey: 👉 On-Demand Learning - Start With The FREE Community Plan: 🤍 🔗Pragmatic Works On-Demand Learning Packages: 🤍 🔗Pragmatic Works Boot Camps: 🤍 🔗Pragmatic Works Hackathons: 🤍 🔗Pragmatic Works Virtual Mentoring: 🤍 🔗Pragmatic Works Enterprise Private Training: 🤍 🔗Pragmatic Works Blog: 🤍 Let's connect: ✔️Twitter: 🤍 ✔️Facebook: 🤍 ✔️Instagram: 🤍 ✔️LinkedIn: 🤍 ✔️YouTube: 🤍 Pragmatic Works 7175 Hwy 17, Suite 2 Fleming Island, FL 32003 Phone: (904) 638-5743 Email: training🤍pragmaticworks.com #PragmaticWorks #MitchellPearson #Azure #AzureSynapse -~-~~-~~~-~~-~- Please watch: "(275) Free Pragmatic Works Power Apps Component Library " 🤍 -~-~~-~~~-~~-~-
We are completing the journey of our lakehouse with our GOLD layer in Azure Synapse. This gives you the table structures you need to start building those amazing reports in Power BI! Stijn Wynants 🤍 📢 Become a member: 🤍 * Want to take your Power BI skills to the next level? We have training courses available to help you with your journey. 🎓 Guy in a Cube courses: 🤍 * LET'S CONNECT! * 🤍 🤍 🤍 🤍 🤍 🤍 *Gear* 🛠 Check out my Tools page - 🤍 #AzureSynapse #lakehouse #GuyInACube
A user case study on how to get D365 FO data into Azure Synapse from Data Lake using CDM Util, we will also learn and see is it really streamline to get your D365 FO data into Synapse or are there any hurdle or the road is still bumpy Content Level: Advanced Who is it aimed at? Dynamics 365 implementation partners, end users, and Consultants/Architects Why should you attend? Get insights on what’s happening with this new technology from Microsoft which will soon replace BYOD so learn and implement before you get surprised Additional Resources: 🤍 Your Speaker Faisal Fareed Microsoft Business Application MVP and the Managing Director at 1Dynamics Pty Ltd, have been helping organizations to define and deliver innovation and differentiation across their products, services and solutions using Microsoft Dynamics 365 Finance Operations and Power Platform. With a passion for delivering technology solutions into organizations which align to their strategic initiatives, Faisal has a proven track record of engaging customers to deliver business outcome focused solutions. [eventID:16998]
У Microsoft тоже есть облако Azure, и в нем есть целая платформа для аналитики, которая называется Azure Synapse Analytics. В него входять уже устоявшиеся инструменты Azure SQL Data Warehouse (теперь называется Dedicated SQL Pool), Azure Data Factory, Azure ML, Power BI Service, так и были добавлены новые Azure Spark Pools, Serverless SQL Pool. Все достаточно удобно, каждый инструмент легко интегрируется с решениями Azure. Если вы работаете с решениями Microsoft, то облако Azure это следующий логический шаг вашего развития. Так же Azure Synapse способен заменить решения Azure HDInsight и Azure Databricks (решения для big data). По опыту я знаю и видел огромное количество решений на Microsoft SQL Server (on-premise), но вообще не знаю ниодного решния на Azure Synapse, но уверен скоро их появится много. В этом видео мы: 📌 Посмотрим на история Azure хранилища данных 📌 Узнаем про стратегию создания продуктов Microsoft 📌 Узнаем про переход от Azure SQL Data warehouse к Azure Synapse Analytics 📌 Познакомимся с Azure Synapse Analytics: Dedicated SQL Pools, Spark Pools, Serverless SQL Pools 📌 Azure Synapse Serverless Pools vs Amazon Redshift Spectrum 📌 Посмотрим на пример архитектурты Azure Data Platfrom и узнаем какие инстурменты есть в Azure для аналитики 📌 Детально посмотрим на особенности Azure Dedicated SQL Pools (бывшее Azure SQL DW), узнаем, что внутнри и как с ним работать и оптимизировать (distribution stiles, indexes, statistics) 📌 Узнаем, что такое PolyBase или как загружать данные из Azure Hadoop 📌 Узнаем про Azure Data Factory 📌 Поговорим про бесполезность и полезность Azure Analyses Services 📌 Поговорим про конкуренция Azure Databricks и Azure Synapse Spark pools На лабораторных работах я вам покажу: 📌 Как создать Azure Synapse Workspace 📌 Как в нем создать Serverless SQL Pools, Dedicated SQL Pool (Azure DW) 📌 Посмотрим, что внутри Synapse Workspace 📌 Покажу вам, как можно поиграться с данными NY taxi 📌 Покажу, где взять открытые данные по COVID-19 = В 6 модуле мы узнаем про аналитические и облачные хранилища данных которые используются в индустрии. Крупные компания Amazon, Microsoft, Airbnb, и многие другие из списка SP500 используют одну или сразу несколько решений для аналитических хранилищ данных - Amazon Redshift, Microsoft Synapse, Google BigQuery или Snowflake. Но кроме облачных хранилищ есть еще много on-premise Teradata, Greenplum, Vertica, Exasol и тп. Из модуля вы узнаете: 📌 Основы аналитических хранилищ данных 📌 MPP vs SMP 📌 Практика с Redshift, Snowflake и Azure Synapse 📌 Облачные ETL инструменты 📌 Обзор вакансий мирового рынка 📌 Обзор решений для операционной аналитики - Splunk, Azure Data Explorer и ElasticSearch 🔔 Подписывайтесь на канал "Datalearn" чтобы не пропустить остальные части и ставьте лайки! 📕 Записывайтесь и проходите курс Инженера Данных. ⚠️ КУРС БЕСПЛАТНЫЙ! 🔗 Записаться вы можете на нашем портале 🤍 👍🏻 Запись на курс даст вам возможность не только просматривать видео, но и получить доступ к закрытым материалам, а также возможность выполнять домашние задания и получить сертификат прохождения курса. 🔥Самые актуальные новости про аналитику в Telegram канале: 🤍
#azuredataengineer #endtoendproject #azuredataengineeringproject #azureintamil #azuredatafactory #azuredatabricks #azuresynapseanalytics #azuredatalake #datalake #powerbi #keyvault This is a long awaited video of mine- Lets build a complete End to End Azure Data Engineering Project. In this project we are going to create an end to end data platform right from Data Ingestion, Data Transformation, Data Loading and Reporting. The tools that are covered in this project are, 1. Azure Data Factory 2. Azure Data Lake Storage Gen2 3. Azure Databricks 4. Azure Synapse Analytics 5. Azure Key vault 6. Azure Active Directory (AAD) and 7. Microsoft Power BI The use case for this project is building an end to end solution by ingesting the tables from on-premise SQL Server database using Azure Data Factory and then store the data in Azure Data Lake. Then Azure databricks is used to transform the RAW data to the most cleanest form of data and then we are using Azure Synapse Analytics to load the clean data and finally using Microsoft Power BI to integrate with Azure synapse analytics to build an interactive dashboard. Also, we are using Azure Active Directory (AAD) and Azure Key Vault for the monitoring and governance purpose. Part 9 will be uploaded soon. Stay tuned. – – – Book a Private One on One Meeting with me (1 Hour) – – – 🤍 – – – Express your encouragement by brewing up a cup of support for me– – – 🤍 – – – Other useful playlist: – – – Azure Data Factory Playlist: 🤍 Azure General Topics Playlist: 🤍 Microsoft Fabric Playlist: 🤍 Azure Databricks Playlist: 🤍 Azure End to End Project Playlist: 🤍 Databricks CICD Playlist: 🤍 End to End Azure Data Engineering Project: 🤍 – – – Let’s Connect: – – – Email: mrktalkstech🤍gmail.com Instagram: mrk_talkstech – – – Tools & Equipment (Gears I use): – – – Disclaimer: Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide, I may receive a small commission. There is no additional charge to you! Thank you for supporting me so I can continue to provide you with free content each week! DJI Mic: 🤍 Dell XPS 13 Plus 13.4" 3.5K : 🤍 Rode VideoMicro Vlogger Kit: 🤍 DJI Osmos Action 3: 🤍 DJI Mini 3 PRO: 🤍 – – – About me: – – – Mr. K is a passionate teacher created this channel for only one goal "TO HELP PEOPLE LEARN ABOUT THE MODERN DATA PLATFORM SOLUTIONS USING CLOUD TECHNOLOGIES" I will be creating playlist which covers the below topics (with DEMO) 1. Azure Beginner Tutorials 2. Azure Data Factory 3. Azure Synapse Analytics 4. Azure Databricks 5. Microsoft Power BI 6. Azure Data Lake Gen2 7. Azure DevOps 8. GitHub (and several other topics) After creating some basic foundational videos, I will be creating some of the videos with the real time scenarios / use case specific to the three common Data Fields, 1. Data Engineer 2. Data Analyst 3. Data Scientist Can't wait to help people with my videos. – – – Support me: – – – Please Subscribe: 🤍
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