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Cloudy with a Chance of Data

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Presentation on theme: "Cloudy with a Chance of Data"— Presentation transcript:

1 Cloudy with a Chance of Data
SQL SATURDAY - NASHVILLE Cloudy with a Chance of Data John Deardurff Website: ThatAwesomeTrainer.com

2 SQL Saturday – Nashville
Cloudy with a Chance of Data SQL Saturday – Nashville Cloud Models IaaS PaaS SaaS On-Premises vs Cloud Managing Azure Cloud Data Platform What is Azure? January 13th, 2018

3 What is the Cloud? Is it just someone else’s computer?
Who controls the cloud? What is useful about cloud computing? Create new apps and services Store, Backup, and Recover data Host Websites and Blogs Stream audio and video Deliver software on demand Analyze data patterns Create predictive models

4 What is Microsoft Azure?
Rapid Elasticity Reduced Capital Expenses Managed Services Global Datacenters Measured Services Improved Agility

5 Cloud Computing Models
A private cloud is a privately owned and managed cloud that offers benefits similar to those of a public cloud, but is designed and secured for use by a single organization. A hybrid cloud is a technology that binds two separate clouds—public and private—together for the specific purpose of obtaining resources from either of them. A public cloud is an infrastructure, platform, or application service that a cloud service provider delivers for access and consumption by the public.

6 Windows Server + System Center (Server Platform)
1: Getting started with Microsoft Azure On-Premises vs Cloud Windows Server + System Center (Server Platform) Microsoft Azure Physical Virtual IaaS PaaS SaaS Explain the different examples of SaaS, PaaS, and IaaS services, and ask students to suggest others: Microsoft Office 365 is a good example of a SaaS offering. It is a fully functional, ready-to-use collection of software applications that are available from the cloud. Azure Web apps and Azure SQL Database are good examples of a PaaS service. Both offer a platform for building custom applications and solutions, but do not require management at the operating-system level. Note: Azure SQL Database sometimes is described as a Database-as-a-Service offering. This term represents a database-specific subset of PaaS solutions. Similarly, you might encounter terms such as Disaster Recovery-as-a-Service in reference to Azure Site Recovery or Identity-as-a-Service in relation to Azure Active Directory. Azure Virtual Machines constitute a good example of an IaaS solution. They allow you to host Windows and Linux servers in the cloud and retain full control over their operating systems.

7 On-Premise or On-Premises
VS Premise An Idea Premises A Location

8 Cloud Models

9 Pizza as a Service

10 Services Manager vs Resource Manager
Azure Services Manager Retired 1/8/2018 Azure Resources Manager

11 The Azure portal 10979D 1: Getting started with Microsoft Azure
Present this topic by performing the demonstration’s first task at the end of this lesson, and use the slide to summarize the key points that you show in the demonstration. Note: It is possible that the Azure portal will have changed when you teach the course. If this is the case, explain to the students the differences between what they see and what the slide shows.

12 Other Client tools Windows PowerShell with Azure PowerShell modules:
1: Getting started with Microsoft Azure Other Client tools Windows PowerShell with Azure PowerShell modules: Run commands and scripts to manage Azure from Windows, Linux, OS X Azure CLI: Visual Studio with Azure SDK for .NET: Build solutions targeting Azure Azure Cloud Shell: Use command line interactively directly from within the Azure portal Describe different ways of interacting with Azure resources.

13 Microsoft Azure Documentation

14 Cloud data offerings SQL Server in Azure VM Azure SQL Database
Azure SQL Data Warehouse Azure Storage Options Azure Data Lake Store Azure Data Factory Azure HDInsight

15 Cloud data offerings SQL Server in Azure VM Azure SQL Database
Azure SQL Data Warehouse Azure Storage Options Azure Data Lake Store Azure SQL Database Azure Data Factory Azure HDInsight

16 Massive Parallel Processing
Cloud data offerings SQL Server in Azure VM Azure SQL Database Azure SQL Data Warehouse Massive Parallel Processing Azure Storage Options Azure Data Lake Store Azure SQL Data Warehouse Azure Data Factory Azure HDInsight

17 Cloud data offerings SQL Server in Azure VM Azure SQL Database
Azure SQL Data Warehouse Azure Storage Options Azure Storage Options Azure Data Lake Store Azure Data Factory Azure HDInsight

18

19 https://azure.microsoft.com/en-us/features/storage-explorer/

20 Cloud data offerings SQL Server in Azure VM Azure SQL Database
Azure SQL Data Warehouse Azure Storage Options Azure Data Lake Store Azure Data Lake Store Azure Data Factory Azure HDInsight

21 Cloud data offerings SQL Server in Azure VM Azure SQL Database
Azure SQL Data Warehouse Azure Storage Options Azure Data Factory Azure Data Lake Store Azure Data Factory Azure HDInsight

22 Map Reduce, Pig, Hive, Hbase, Storm, Spark
Cloud data offerings SQL Server in Azure VM Azure SQL Database Azure SQL Data Warehouse Map Reduce, Pig, Hive, Hbase, Storm, Spark Azure Storage Options Azure HDInsight Azure Data Lake Store Azure Data Factory Azure HDInsight

23 Cloud data offerings Event Hub Stream Analytics
Azure Data Lake Analytics Azure Machine Learning

24 Cortana Analytics Suite
Build 2015 9/18/2018 1:41 AM Cortana Analytics Suite Information Management Azure Data Factory Data Catalog Event Hub Big Data Stores Azure Data Lake SQL Data Warehouse Machine Learning and Analytics Azure Machine Learning HDInsight (Hadoop) Stream Analytics Data Lake Analytics Dashboards and Visualizations Power BI Business apps Custom apps Sensors and devices Personal Digital Assistant Cortana People Perceptual Intelligence Face, vision Speech, text Automated Systems Business Scenarios Recommendations, customer churn, forecasting, etc. DATA INTELLIGENCE ACTION © 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

25 Good Luck Introducing Cloud Data Platform Services

26


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