Getting Started Using HBase in Microsoft Azure HDInsight

Transcription

1 Getting Started Using HBase in Microsoft Azure HDInsight

2 Contents Overview and Azure account requrements... 3 Create an HDInsight cluster for HBase... 5 Create a Twitter application ID... 9 Configure and run a Twitter streaming service Explore the simple streaming application Explore the web application Conclusion Roll back Azure changes Terms of use Getting Started Using HBase in Microsoft Azure HDInsight

3 Overview and Azure account requrements Estimated time to complete lab is minutes. Overview Social web sites are one of the major driving forces for Big Data adoption. Public APIs provided by sites like Twitter are a useful source of data for analyzing and understanding popular trends. In this tutorial, you will develop a console streaming service application and an ASP.NET Web application to perform the following: Get geo-tagged Tweets in real-time using the Twitter streaming API. Evaluate the sentiment of these Tweets. Store the sentiment information in HBase using the Microsoft HBase SDK. Plot the real-time statistical results on Bing maps using an ASP.NET Web application. A visualization of the tweets will look something like this: DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 3

4 You will be able to query tweets with certain keywords to get a sense of the expressed opinion in tweets is positive, negative, or neutral. In this lab, you will do the following: 1. Create an HDInsight cluster with HBase. 2. Create a Twitter application ID for your Twitter account. 3. Run a simple Twitter streaming service console application to create an HBase table and add Twitter data with the location information. 4. Review the simple Twitter streaming service to see how it works. 5. Review the web application that displays the location tagged tweets for a search term to see how it works. 6. Run the web application locally. 7. Clean up your Azure environment. Azure account requirements While carrying all of the exercises within this hands on lab you will either be making use of the the Azure Management portal at To perform this lab, you will require a Microsoft Azure account. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 4

5 If you do not have an Azure account, you can request a free trial version by going to Within the one-month trial version, you can perform other SQL Server 2014 hands on labs along with other tutorials available on Azure. Note, to sign up for a free trial, you will need a mobile device that can receive text messages and a valid credit card. Be sure to follow the Roll back Azure changes section at the end of this exercise after creating the Azure database so that you can make the most use of your $200 free Azure credit. Create an HDInsight cluster for HBase In this section, you will create an HDInsight cluster with HBase enabled for storing the Twitter data. Connect to SQLONE computer 1. Click on SQL2014DEMO-SQLO button on right side of the screen to connect to the SQLONE computer. Note, if you have a monitor that supports a larger screen resolution than 1024 x 768, you can change the screen resolution for the lab to go as high as 1920 x By going to a higher screen resolution, it will be easier to use SQL Server Management Studio. 2. Right click on the desktop and click on Screen resolution. 3. Select 1366 x 786 (a good minimum screen size for using SSMS) and click OK. 4. Click Keep Changes. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 5

6 5. Resize the client hollaunchpad Online window for the lab to fit your screen resolution. 6. During the setup you will need to record credentials and server locations. Open notepad.exe to keep track of information Create an Azure Storage Account If you already have a storage account setup, you can use it for your HDInsight cluster. Otherwise, you can use the instructions in the following section to create a storage account. 1. Go to your Azure Management Portal. 2. Click on the Storage icon on the left navigation bar. 3. Click + NEW 4. Click QUICK CREATE 5. For URL, use the first 7 characters of your Microsoft ID used for accessing the Azure account followed by hbase. For example, hdidemohbase The storage account name must be unique within Azure, so you need a way to make a meaningful unique name. 6. Select West US for the LOCATION/AFFINITY GROUP. You must use the same location that you used for creating the Azure SQL Database server for the Export feature to work. 7. Select Locally Redundant for the REPLICATION. Azure supports Geo-Redundant for high availability, but you don t need this for the demo. 8. Click the CREATE STORAGE ACCOUNT check mark to create the account. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 6

7 Once the storage account is created, proceed to the next step. Create an HDInsight Cluster 1. Click on HDINSIGHT in the navigation pane on the left. 2. In the grey options pane at the bottom, click on +NEW then HBASE DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 7

8 3. Enter in the following information for the cluster: CLUSTER NAME: <use your storage account> ex. hdidemohbase CLUSTER SIZE: 1 data node, this is to save Azure cost for lab SUBSCRIPTION: <use default> CONFIRM PASSWORD: Pass@word12 STORAGE ACCOUNT: <use your storage account> ex. hdidemohbase DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 8

9 4. Click the check in the lower right corner to continue. It will take approximately 10 minutes to create the cluster, so now would be a good time to create your Twitter application. Create a Twitter application ID Create a Twitter application ID and secrets In this section, you will create an application ID and API secrets that will be used in the streaming application. If you do not have a Twitter account, you will need to create one at This lab assumes you already have a Twitter account. The Twitter Streaming APIs use OAuth to authorize requests. The first step to use OAuth is to create a new application on the Twitter Developer site. 1. Sign in to 2. Click the Sign up now link if you don't have a Twitter account. 3. Click Create New App. 4. Enter Name, Description, Website. The Website field is not really used. It doesn't have to be a valid URL. For example: Name: MyHBaseAPP note: the name must be unique Description: <Put in any value> Website: DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 9

10 5. Check Yes, I agree, and then click Create your Twitter application. 6. Click the Permissions tab. The default permission is Read only. This is sufficient for this tutorial. 7. Click the API Keys tab. 8. Click Create my access token. 9. Click Test OAuth in the upper right corner of the page. 10. Write down Consumer key, Consumer secret, Access token, and Access token secret. You will need the values later in the tutorial. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 10

11 Configure and run a Twitter streaming service Configure the simple Twitter streaming service application In this section you will open the Twitter streaming service Visual Studio 2013 solution and configure the passwords and keys used to connect to the HDInsight cluster you created along with the Twitter credentials. 1. Open Visual Studio 2013 by clicking on the Visual Studio icon on the toolbar. 2. On the Start Page, click on tweet-sentiment under Recent projects. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 11

12 3. You should see the App.config file opened up in the editor. If the App.config file is not open, click on the Solution Explorer and under the SimpleStreamingService project, double-click App.config to open it up. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 12

13 4. Within the <appsetting> section of the code, replace the values with your Twitter API keys and secrets. 5. Using the example below, the settings should be similar to the image below. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 13

14 Configure the HDInsight HBase information 1. Right click on the Notepad icon on the taskbar and click credentials.txt. 2. This file C:\SQLPROGRAMS\E4\GitRemote\tweetsentiment\tweet-sentiment\SimpleStreamingService directory and contains three lines that represents the credentials needed to connect to your HDInsight HBase cluster. Replace the selected cluster name with the name of the cluster you created. For example: hdidemohbase 3. Close the file and save your changes. Build the SimpleStreamingService project 1. Right click on the SimpleStreamingService project in the Solution Explorer and click Build. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 14

15 2. In the Output window, select the text C:\SQLPROGRAMS\E4\GitRemote\tweet-sentiment\tweetsentiment\SimpleStreamingService\bin\Release\Simpl estreamingservice.exe and copy it to the clipboard. Make sure your HDInsight cluster is running 1. Go to Internet Explorer and click on HDINSIGHT on the left navigation pane within the Azure portal. Locate your server and verify that the STATUS is shown as Running. If the cluster is not running, please wait for it to complete before proceeding. Feel free to read ahead to see what s coming up. Run the SimpleStreamingSerivce console application DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 15

16 1. Press the Windows key + R to open the Run window and paste in the program name you just copied. 2. Click OK to run the application. After approximately 30 seconds, you should see the text Table "tweets_by_words" created. Then, about 15 seconds later, you should see tweet information scrolling in the console window. Keep the console window open thru the duration of the lab so that it can populate the HBase Let s now explore the SimpleStreamingService application that is described in the Azure tutorial at DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 16

17 Explore the simple streaming application SDK Refrences 1. The file that defines the Tweeter streaming service class is HBaseWriter.cs and should already be open in the project. If it is not, double click on the file in the Solution Explorer to open it up. 2. The highlighted assembly references support the HBase and Twitter APIs. In order to add these to a new project, you need to install two packages: TweetinivAPI and protobuf-net. For a new project, you would need to perform the following steps you don t need to do steps 3 through 11 for this lab. 3. From the Tools menu, click Nuget Package Manager, and then click Package Manager Console. The console panel will open at the bottom of the page. 4. Use the following commands to install the Tweetinvi package, which is used to access the Twitter API, and the Protobuf-net package, which is used to serialize and deserialize objects. Install-Package TweetinviAPI Install-Package protobuf-net NOTE: The Microsoft HBase SDK Nuget package is not available as of October 15th, The Github repo is Until the SDK is available, you must build the dll yourself. For instructions, see Get started using HBase with Hadoop in HDInsight. 9. From Solution Explorer, right-click References, and then click Add Reference. 10. In the left pane, expand Assemblies, and then click Framework. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 17

18 11. In the right pane, select the checkbox in front of System.Configuration, and then click OK. DictionaryItem class The dictionary class is used to parse the supplied Twitter dictionary sentiment file with terms that will be used to compare against incoming tweets. 1. To view the class definition, click on the Class dropdown and select SimpleStreamingService.DictionaryItem. 2. This class structure is used to parse the sentiment dictionary file. The data is used to calculate sentiment score for each Tweet. 3. To preview the dictionary file, right click on the Notepad toolbar button and click dictionary.tsv. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 18

19 4. The dictionary.tsv file contains the words used for the comparison as shown below. You can close the file once you have completed previewing the contents. 5. Switch back to Visual Studio and then search for private void LoadDictionary(). This method reads the text and loads them into a Dictionary object used for comparing the tweets. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 19

20 6. Search for the private int CalcSentimentScore method. This method performs the dictionary lookup to compute the sentiment score. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 20

21 Understanding the HBaseWriter class The role of the HBaseWriter class is to read in the HDInsight credentials, create the HBase table, load the dictionary and start processing the tweets. 1. Scroll up to the top of the HBaseWriter file to review the HBaseWriter() method. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 21

22 2. The private void CreateTweetByWordsCells method takes the incoming tweet, parses the words using the _punctiationchars and then creates HBase cell values for the row representing the tweet. See the code below. The highlighted d: items below represent the HBase columns within the d ColumnSchema shown above. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 22

23 1])); private void CreateTweetByWordsCells(CellSet set, ITweet tweet) { var words = tweet.text.tolower().split(_punctuationchars); int sentimentscore = CalcSentimentScore(words); var word_pairs = words.take(words.length - 1).Select((word, idx) => string.format("{0} {1}", word, words[idx + var all_words = words.concat(word_pairs).tolist(); foreach (var word in all_words) { var time_index = (ulong.maxvalue - (ulong)tweet.createdat.tobinary()).tostring().padleft(20) + tweet.idstr; var key = word + "_" + time_index; var row = new CellSet.Row { key = Encoding.UTF8.GetBytes(key) }; var value = new Cell { column = Encoding.UTF8.GetBytes("d:id_str"), data = Encoding.UTF8.GetBytes(tweet.IdStr) }; row.values.add(value); value = new Cell { column = Encoding.UTF8.GetBytes("d:lang"), data = Encoding.UTF8.GetBytes(tweet.Language.ToString()) }; row.values.add(value); if (tweet.coordinates!= null) { var str = tweet.coordinates.longitude.tostring() + "," + tweet.coordinates.latitude.tostring(); value = new Cell { column = Encoding.UTF8.GetBytes("d:coor"), data = Encoding.UTF8.GetBytes(str) }; row.values.add(value); } value = new Cell { column = Encoding.UTF8.GetBytes("d:sentiment"), data = Encoding.UTF8.GetBytes(sentimentScore.ToString()) }; row.values.add(value); } } set.rows.add(row); 7. You can review the rest of the file. Exploring program.cs 1. Program.cs is the console application that starts the streaming process using the following assembly references. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 23

24 2. The Main method reads in the Twitter API settings from App.config and then runs the Stream_FIlteredStreamExample() method. 3. The Stream_FilteredStreamExample() method shown below sets up a tweeter feed with any tweets that have location data using the Geo.GenerateLocation() method highlighted below. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 24

25 private static void Stream_FilteredStreamExample() { for (; ; ) { try { var hbase = new HBaseWriter(); var stream = Stream.CreateFilteredStream(); var location = Geo.GenerateLocation(-180, -90, 180, 90); stream.addlocation(location); var tweetcount = 0; var timer = Stopwatch.StartNew(); stream.matchingtweetreceived += (sender, args) => { tweetcount++; var tweet = args.tweet; hbase.writetweet(tweet); if (timer.elapsedmilliseconds > 1000) { if (tweet.coordinates!= null) { Console.WriteLine("{0}: {1} {2}", tweet.id, tweet.language.tostring(), tweet.text); Console.WriteLine("\tLocation: {0}, {1}", tweet.coordinates.longitude, tweet.coordinates.latitude); } } timer.restart(); Console.WriteLine("===== Tweets/sec: {0} =====", tweetcount); tweetcount = 0; /*IEnumerable<ILocation> matchinglocations = args.tweet.; foreach (var matchinglocation in matchinglocations) { Console.Write("({0}, {1}) ;", matchinglocation.coordinate1.latitude, matchinglocation.coordinate1.longitude); Console.WriteLine("({0}, {1})", matchinglocation.coordinate2.latitude, matchinglocation.coordinate2.longitude); }*/ }; stream.startstreammatchingallconditions(); } catch (Exception ex) { Console.WriteLine("Exception: {0}", ex.message); } DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 25

26 } } 4. The stream.matchingtweetreceived line reads the tweet, performs the sentiment lookup and then returns the HBase columns as args. The hbase.writetweet command then writes the tweet to the HBase table. This process continues until you close the console window. Explore the web application Setting up credentials to run the web application The web application needs the credentials to the HDInsight cluster so it can access the data in the HBase table. 1. Click on the Web.config tab in the Visual Studio editor. If it is not already open, you can double click on the Web.config file under the WebApp project. 2. Change the Cluster and Pwd keys under the appsettings to specify your HDInsight cluster as shown below. Leave the User key as admin. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 26

27 Debug the web application Let s test run the web application so that you can see it in action and then walk through the key elements of the program. 1. You should have enough data from Twitter loading into your HBase table. Go ahead and close the console window. 2. Go back to Visual Studio, right click on the WebApp project in the Solution Explorer and click Debug > Start new instance. 3. You should see Internet Explorer open against your localhost with a Bing map in the client region. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 27

28 4. Change the search term to love and click Go. Then, click on the Positive, Neutral and Negative buttons to see the total number of tweets along with the Positive/Negative Ratio. 5. After trying a few other terms, you can close the browser window to exit the debug process. About the WebApp ASP.NET MVC Web application The WebApp was created using an ASP.NET MVC Web application to read the real-time sentiment data from HBase and plot the data on Bing maps. If you wanted to create a new application from scratch, you would perform the following steps to get started. You do not need to perform these steps for the lab. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 28

29 1. Open Visual Studio. 2. Click File, click New, and then click Project. 3. Type or enter the following: o o o o Template category: Visual C#/Web Template: ASP.NET Web Application Name: TweetSentimentWeb Location: C:\Tutorials 4. Click OK. 5. In Select a template, click MVC. 6. In Windows Azure, click Manage Subscriptions. 7. From Manage Windows Azure Subscriptions, click Sign in. 8. Enter your Azure credential. Your Azure subscription information will be shown on the Accounts tab. 9. Click Close to close the Manage Windows Azure Subscriptions window. 10. From New ASP.NET Project - TweetSentimentWeb, Click OK. 11. From Configure Windows Azure Site Settings, select the Region that is closer to you. You don't need to specify a database server. 12. Click OK. 13. From the Tools menu, click Nuget Package Manager, and then click Package Manager Console. The console panel is opened at the bottom of the page. 14. Use the following command to install the Protobuf-net package, which is used to serialize and deserialize objects. Install-Package protobuf-net Programs, classes and methods of interest 1. Under the WebApp, expand the Models folder and click on HbaseReader.cs to open it. This program sets up the connection to the HDInsight HBase table and then searches by DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 29

30 the keyword to return the d:coor and d:sentiment values for displaying on the Bing map. public async Task<IEnumerable<Tweet>> QueryTweetsByKeywordAsync(string keyword) { var list = new List<Tweet>(); var time_index = (ulong.maxvalue - (ulong)datetime.utcnow.subtract(new TimeSpan(6, 0, 0)).ToBinary()).ToString().PadLeft(20); var startrow = keyword + "_" + time_index; var endrow = keyword + " "; var scansettings = new Scanner { batch = , startrow = Encoding.UTF8.GetBytes(startRow), endrow = Encoding.UTF8.GetBytes(endRow) }; ScannerInformation scannerinfo = await client.createscannerasync(tablebywordsname, scansettings); CellSet next; while ((next = await client.scannergetnextasync(scannerinfo))!= null) { foreach (CellSet.Row row in next.rows) { var coordinates = row.values.find(c => Encoding.UTF8.GetString(c.column) == "d:coor"); if (coordinates!= null) { var lonlat = Encoding.UTF8.GetString(coordinates.data).Split(','); var sentimentfield = row.values.find(c => Encoding.UTF8.GetString(c.column) == "d:sentiment"); var sentiment = 0; if (sentimentfield!= null) { sentiment = Convert.ToInt32(Encoding.UTF8.GetString(sentimentField.data)); } } list.add(new Tweet { Longtitude = Convert.ToDouble(lonlat[0]), Latitude = Convert.ToDouble(lonlat[1]), Sentiment = sentiment }); } } if (coordinates!= null) { var lonlat = Encoding.UTF8.GetString(coordinates.data).Split(','); } DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 30

31 } return list; 2. Under the WebApp project, expand the Controllers folder and click on TweetsController.cs file to view it. This is the main program that will sets up the HBase reader and performs the query. 3. Expand the Scripts folder and click on the headmap.js file. The code was written by Alastair Aitchison to display heat map information using Bing. For more information, see heatmap-library/. 4. Under the Scripts folder, click on the twitterstream.js file. This script initializes the Bing map and plots the tweets from HBase as a heat map. 5. Expand the Views and Shared folders and click on the _Layout.cshtml file. This file sets up the navigation bar for the web site. 6. Expand the Views and Home folder and click on the Index.cshtml file. This sets up the title for the page that is displayed in the IE tab. 7. Expand the Content folder and click on the Site.css file. This sets up the page to display the Bing map within the sized browser window. 8. Under the WebApp folder, click on the Global.aspx file. This is the main application file which registers the API routes to make Web API controller work inside of the MVC application. Conclusion In this lab, you learned how to: Create an Azure storage account and HDInsight HBase cluster to store Twitter search results. Create an application to read in the streaming tweets, score the sentiment of the tweet based on a dictionary lookup of the words in the tweet, and write the results to an HBase table. Create an ASP.NET MVC Web application to read the real-time sentiment data from HBase and plot the data on Bing maps. Optionally, you can deploy the application to an Azure Web site. For instructions, see Get started with Azure Web Sites and ASP.NET. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 31

32 To learn more about HBase on Azure, see Get started using HBase with Hadoop in HDInsight tutorial. Roll back Azure changes Let s clean up the assets we have used during this hands on lab. Here are the items which should be deleted from your subscription: Delete the HDInsight cluster 1. Go to the Azure Portal 2. Click on the HDINSIGHT tab on the left hand side 3. Click on the cluster name you used for this lab to display the cluster getting started page. 4. Click on the DELETE command and then click YES to confirm. Delete the storage account This is the storage account created for the HDInsight cluster. For example: hdidemohbase. Delete it following these steps. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 32

33 1. Select the Storage tab on the left hand side 2. Click anywhere in the row of the storage, except within the name cell as this will navigate into the account 3. Click Delete 4. Confirm the storage account match the one created within this hands on lab by clicking Yes Terms of use 2014 Microsoft Corporation. All rights reserved. By using this Hands-on Lab, you agree to the following terms: The technology/functionality described in this Hands-on Lab is provided by Microsoft Corporation in a sandbox testing environment for purposes of obtaining your feedback and to provide you with a learning experience. You may only use the Hands-on Lab to evaluate such technology features and functionality and provide feedback to Microsoft. You may not use it for any other purpose. You may not modify, copy, distribute, transmit, display, perform, reproduce, publish, license, create derivative works from, transfer, or sell this Hands-on Lab or any portion thereof. COPYING OR REPRODUCTION OF THE HANDS-ON LAB (OR ANY PORTION OF IT) TO ANY OTHER SERVER OR LOCATION FOR FURTHER REPRODUCTION OR REDISTRIBUTION IS EXPRESSLY PROHIBITED. THIS HANDS-ONLAB PROVIDES CERTAIN SOFTWARE TECHNOLOGY/PRODUCT FEATURES AND FUNCTIONALITY, INCLUDING POTENTIAL NEW FEATURES AND CONCEPTS, IN A SIMULATED ENVIRONMENT WITHOUT COMPLEX SET-UP OR INSTALLATION FOR THE PURPOSE DESCRIBED ABOVE. THE TECHNOLOGY/CONCEPTS REPRESENTED IN THIS HANDS-ON LAB MAY NOT REPRESENT FULL FEATURE FUNCTIONALITY AND MAY NOT DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 33

34 WORK THE WAY A FINAL VERSION MAY WORK. WE ALSO MAY NOT RELEASE A FINAL VERSION OF SUCH FEATURES OR CONCEPTS. YOUR EXPERIENCE WITH USING SUCH FEATURES AND FUNCITONALITY IN A PHYSICAL ENVIRONMENT MAY ALSO BE DIFFERENT. FEEDBACK. If you give feedback about the technology features, functionality and/or concepts described in this Hands-on Lab to Microsoft, you give to Microsoft, without charge, the right to use, share and commercialize your feedback in any way and for any purpose. You also give to third parties, without charge, any patent rights needed for their products, technologies and services to use or interface with any specific parts of a Microsoft software or service that includes the feedback. You will not give feedback that is subject to a license that requires Microsoft to license its software or documentation to third parties because we include your feedback in them. These rights survive this agreement. MICROSOFT CORPORATION HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THE HANDS-ON LAB, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON- INFRINGEMENT. MICROSOFT DOES NOT MAKE ANY ASSURANCES OR REPRESENTATIONS WITH REGARD TO THE ACCURACY OF THE RESULTS, OUTPUT THAT DERIVES FROM USE OF THE VIRTUAL LAB, OR SUITABILITY OF THE INFORMATION CONTAINED IN THE VIRTUAL LAB FOR ANY PURPOSE. DISCLAIMER This lab contains only a portion of new features and enhancements in Microsoft SQL Server Some of the features might change in future releases of the product. In this lab, you will learn about some, but not all, new features. DBI-IL202 Getting Started Using HBase in Microsoft Azure HDInsight 34