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Home > Data > Databases > DynamoDB Cookbook
DynamoDB Cookbook
DynamoDB Cookbook

DynamoDB Cookbook: Over 90 hands-on recipes to design Internet scalable web and mobile applications with Amazon DynamoDB

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DynamoDB Cookbook

Chapter 2. Operating with DynamoDB Tables

In this chapter, we will cover the following topics:

  • Creating a table using the AWS SDK for Java
  • Creating a table using the AWS SDK for .Net
  • Creating a table using the AWS SDK for PHP
  • Updating a table using the AWS SDK for Java
  • Updating a table using the AWS SDK for .Net
  • Updating a table using the AWS SDK for PHP
  • Listing tables using the AWS SDK for Java
  • Listing tables using the AWS SDK for .Net
  • Listing tables using the AWS SDK for PHP
  • Deleting a table using the AWS SDK for Java
  • Deleting a table using the AWS SDK for .Net
  • Deleting a table using the AWS SDK for PHP

Introduction

In the previous chapter, we discussed how to perform various DynamoDB operations using the console. In this chapter, we will focus on how to use the SDK provided by Amazon to perform operations. Amazon has provided SDKs in various programming languages, out of which we are going to see operations in Java, .Net, and PHP. So, get ready to get your hands dirty with the code!

Creating a table using the AWS SDK for Java

Let's start with creating a table in DynamoDB using SDKs provided by Amazon.

Getting ready

To program various DynamoDB table operations, you can use the IDE of your choice, for example, Eclipse, NetBeans, Visual Studio, and so on. Here, we will be using the Eclipse IDE. In the previous chapter, we have already seen how to download and set up the Eclipse IDE.

How to do it…

Let's first see how to create a table in DynamoDB using the AWS SDK for Java.

You can create a Maven project and add the AWS SDK Maven dependency. The latest version available can be found at http://mvnrepository.com/artifact/com.amazonaws/aws-java-sdk/.

Here, I will be using Version 1.9.30, and its POM looks like this:

<dependency>
  <groupId>com.amazonaws</groupId>
  <artifactId>aws-java-sdk</artifactId>
  <version>1.9.30</version>
</dependency>

Here are the steps to create a table using the AWS SDK for Java:

  1. Create an...

Creating a table using the AWS SDK for .Net

Now, let's understand how to create a DynamoDB table using the AWS SDK for .Net.

Getting ready

You can use an IDE, such as Visual Studio to code these recipes. You can refer to the AWS documentation on how to set up your workstation at http://aws.amazon.com/sdk-for-net/.

How to do it…

Let's start with creating a table called productTableNet:

  1. Instantiate the CreateTable request specifying AttributeDefinition and KeySchema. We will create the table having both the HASH and RANGE Keys. We will set the provisioned read and write capacity units to be one:
    AmazonDynamoDBClient client = new AmazonDynamoDBClient();
string tableName = "productTableNet";
var request=new CreateTableRequest{
  AttributeDefinitions=newList<AttributeDefinition>(){
    newAttributeDefinition{
      AttributeName="id", AttributeType="N"
    },
    newAttributeDefinition{
      AttributeName="type", AttributeType="S...

Creating a table using the AWS SDK for PHP

Now, let's understand how to create a DynamoDB table using the AWS SDK for PHP.

Getting ready…

You can use the IDE of your choice to code these recipes.

How to do it…

Let's start with creating a table called productTablePHP:

  1. Instantiate the DynamoDB client for PHP. Specify the AWS region in which you wish to create the table in:
    $client = DynamoDbClient::factory(array(
    'profile' => 'default',
    'region' => 'us-west-1'  
));
  2. Invoke the createTable method by specifying the details, such as the table name, hash and range keys, and provisioned capacity units. Here, we will create a table with the primary key as the composite hash and range keys:
    $result = $client->createTable(array(
    'TableName' => $tableName,
    'AttributeDefinitions' => array(
        array(
            'AttributeName' => 'id',
            'AttributeType...

Updating a table using the AWS SDK for Java

Now, let's understand how to update a DynamoDB table using the AWS SDK for Java.

Getting ready…

You can use the IDE of your choice to code these recipes.

How to do it…

In this recipe, we will learn how to update the already created DynamoDB table. Here, we will update the read and write capacity units:

  1. Create an instance of the Table class and initiate it by calling the getTable method:
    AmazonDynamoDBClient client = new AmazonDynamoDBClient(new ProfileCredentialsProvider());
client.setRegion(Region.getRegion(Regions.US_EAST_1));
DynamoDB dynamoDB = new DynamoDB(client);
Table table = dynamoDB.getTable("productTableJava");
  2. Now, create an instance of the provisioned throughput, and set the read and write capacity units. Earlier, we set the read and write capacity units to one, and now we will update it to two:
    ProvisionedThroughput provisionedThroughput = new ProvisionedThroughput().withReadCapacityUnits(2L).withWriteCapacityUnits...

Updating a table using the AWS SDK for .Net

Now, let's understand how to update a DynamoDB table using the AWS SDK for .Net.

Getting ready

You can use the IDE of your choice to code these recipes.

How to do it…

In this recipe, we will learn how to update the provisioned capacity of the already created table using the AWS SDK for .Net:

  1. Create an update table request and provide the new read and write capacity units:
    AmazonDynamoDBClient client = new AmazonDynamoDBClient();
string tableName = "productTableNet";
var request=new UpdateTableRequest(){
  TableName=tableName,
  ProvisionedThroughput = new ProvisionedThroughput(){
    ReadCapacityUnits=2,
      WriteCapacityUnits=2
  }
};
  2. Invoke the updateTable method from the DynamoDB client to update the table with the provided capacity units:
    var response = client.UpdateTable(request);
  3. It takes some time for DynamoDB to make the changes effective. So, it's always a best practice to wait until the table becomes active again...

Introduction

In the previous chapter, we discussed how to perform various DynamoDB operations using the console. In this chapter, we will focus on how to use the SDK provided by Amazon to perform operations. Amazon has provided SDKs in various programming languages, out of which we are going to see operations in Java, .Net, and PHP. So, get ready to get your hands dirty with the code!

Creating a table using the AWS SDK for Java

Let's start with creating a table in DynamoDB using SDKs provided by Amazon.

Getting ready

To program various DynamoDB table operations, you can use the IDE of your choice, for example, Eclipse, NetBeans, Visual Studio, and so on. Here, we will be using the Eclipse IDE. In the previous chapter, we have already seen how to download and set up the Eclipse IDE.

How to do it…

Let's first see how to create a table in DynamoDB using the AWS SDK for Java.

You can create a Maven project and add the AWS SDK Maven dependency. The latest version available can be found at http://mvnrepository.com/artifact/com.amazonaws/aws-java-sdk/.

Here, I will be using Version 1.9.30, and its POM looks like this:

<dependency>
  <groupId>com.amazonaws</groupId>
  <artifactId>aws-java-sdk</artifactId>
  <version>1.9.30</version>
</dependency>

Here are the steps to create a table using the AWS SDK for Java:

  1. Create an instance of the DynamoDB...

Creating a table using the AWS SDK for .Net

Now, let's understand how to create a DynamoDB table using the AWS SDK for .Net.

Getting ready

You can use an IDE, such as Visual Studio to code these recipes. You can refer to the AWS documentation on how to set up your workstation at http://aws.amazon.com/sdk-for-net/.

How to do it…

Let's start with creating a table called productTableNet:

  1. Instantiate the CreateTable request specifying AttributeDefinition and KeySchema. We will create the table having both the HASH and RANGE Keys. We will set the provisioned read and write capacity units to be one:

    AmazonDynamoDBClient client = new AmazonDynamoDBClient();
string tableName = "productTableNet";
var request=new CreateTableRequest{
  AttributeDefinitions=newList<AttributeDefinition>(){
    newAttributeDefinition{
      AttributeName="id", AttributeType="N"
    },
    newAttributeDefinition{
      AttributeName="type", AttributeType="S"
    }
  },
  KeySchema=newList<KeySchemaElement>{
    newKeySchemaElement...

Creating a table using the AWS SDK for PHP

Now, let's understand how to create a DynamoDB table using the AWS SDK for PHP.

Getting ready…

You can use the IDE of your choice to code these recipes.

How to do it…

Let's start with creating a table called productTablePHP:

  1. Instantiate the DynamoDB client for PHP. Specify the AWS region in which you wish to create the table in:

    $client = DynamoDbClient::factory(array(
    'profile' => 'default',
    'region' => 'us-west-1'  
));

  2. Invoke the createTable method by specifying the details, such as the table name, hash and range keys, and provisioned capacity units. Here, we will create a table with the primary key as the composite hash and range keys:

    $result = $client->createTable(array(
    'TableName' => $tableName,
    'AttributeDefinitions' => array(
        array(
            'AttributeName' => 'id',
            'AttributeType' => 'N'
        ),
        array(
            'AttributeName' => 'type',
            'AttributeType' ...

Updating a table using the AWS SDK for Java

Now, let's understand how to update a DynamoDB table using the AWS SDK for Java.

Getting ready…

You can use the IDE of your choice to code these recipes.

How to do it…

In this recipe, we will learn how to update the already created DynamoDB table. Here, we will update the read and write capacity units:

  1. Create an instance of the Table class and initiate it by calling the getTable method:

    AmazonDynamoDBClient client = new AmazonDynamoDBClient(new ProfileCredentialsProvider());
client.setRegion(Region.getRegion(Regions.US_EAST_1));
DynamoDB dynamoDB = new DynamoDB(client);
Table table = dynamoDB.getTable("productTableJava");

  2. Now, create an instance of the provisioned throughput, and set the read and write capacity units. Earlier, we set the read and write capacity units to one, and now we will update it to two:

    ProvisionedThroughput provisionedThroughput = new ProvisionedThroughput().withReadCapacityUnits(2L).withWriteCapacityUnits(2L);

  3. Now, invoke the updateTable...

Updating a table using the AWS SDK for .Net

Now, let's understand how to update a DynamoDB table using the AWS SDK for .Net.

Getting ready

You can use the IDE of your choice to code these recipes.

How to do it…

In this recipe, we will learn how to update the provisioned capacity of the already created table using the AWS SDK for .Net:

  1. Create an update table request and provide the new read and write capacity units:

    AmazonDynamoDBClient client = new AmazonDynamoDBClient();
string tableName = "productTableNet";
var request=new UpdateTableRequest(){
  TableName=tableName,
  ProvisionedThroughput = new ProvisionedThroughput(){
    ReadCapacityUnits=2,
      WriteCapacityUnits=2
  }
};

  2. Invoke the updateTable method from the DynamoDB client to update the table with the provided capacity units:

    var response = client.UpdateTable(request);

  3. It takes some time for DynamoDB to make the changes effective. So, it's always a best practice to wait until the table becomes active again. By default, the AWS SDK for...

Updating a table using the AWS SDK for PHP

Now, let's understand how to update a DynamoDB table using the AWS SDK for PHP.

Getting ready

You can use the IDE of your choice to code these recipes.

How to do it…

In this recipe, we will learn how to update the read and write capacity units for an already created table:

  1. Create an instance of the DynamoDB client and invoke the updateTable method, providing the details of the new provisioned throughout capacity units. Here, we will update the read and write capacity units to two:

    $tableName = 'productTablePHP';
$result = $client->updateTable(array(
    'TableName' => $tableName,
    'ProvisionedThroughput'    => array(
        'ReadCapacityUnits'    => 2,        
        'WriteCapacityUnits' => 2          
    )
));

  2. DynamoDB takes some time to make the changes effective. So, it's a best practice to wait until the table gets effective again:

    $client->waitUntilTableExists(array('TableName' => $tableName));

How it works…

Once we invoke...

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Description

AWS DynamoDB is an excellent example of a production-ready NoSQL database. In recent years, DynamoDB has been able to attract many customers because of its features like high-availability, reliability and infinite scalability. DynamoDB can be easily integrated with massive data crunching tools like Hadoop /EMR, which is an essential part of this data-driven world and hence it is widely accepted. The cost and time-efficient design makes DynamoDB stand out amongst its peers. The design of DynamoDB is so neat and clean that it has inspired many NoSQL databases to simply follow it. This book will get your hands on some engineering best practices DynamoDB engineers use, which can be used in your day-to-day life to build robust and scalable applications. You will start by operating with DynamoDB tables and learn to manipulate items and manage indexes. You will also discover how to easily integrate applications with other AWS services like EMR, S3, CloudSearch, RedShift etc. A couple of chapters talk in detail about how to use DynamoDB as a backend database and hosting it on AWS ElasticBean. This book will also focus on security measures of DynamoDB as well by providing techniques on data encryption, masking etc. By the end of the book you’ll be adroit in designing web and mobile applications using DynamoDB and host it on cloud.

Who is this book for?

This book is intended for those who have a basic understanding of AWS services and want to take their knowledge to the next level by getting their hands dirty with coding recipes in DynamoDB.

What you will learn

  • Design DynamoDB tables to achieve high read and write throughput
  • Discover best practices like caching, exponential backoffs and autoretries, storing large items in AWS S3, storing compressed data etc.
  • Effectively use DynamoDB Local in order to make your development smooth and cost effective
  • Implement cost effective best practices to reduce the burden of DynamoDB charges
  • Create and maintain secondary indexes to support improved data access
  • Integrate various other AWS services like AWS EMR, AWS CloudSearch, AWS Pipeline etc. with DynamoDB
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 25, 2015
Length: 266 pages
Edition : 1st
Language : English
ISBN-13 : 9781784393755
Category :
Data
Concepts :
Databases
Tools :
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Product Details

Publication date : Sep 25, 2015
Length: 266 pages
Edition : 1st
Language : English
ISBN-13 : 9781784393755
Category :
Data
Concepts :
Databases
Tools :
DynamoDB

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Table of Contents

11 Chapters
1. Taking Your First Steps with DynamoDB Chevron down icon Chevron up icon
1. Taking Your First Steps with DynamoDB
Introduction
Signing up to the DynamoDB console
Creating the DynamoDB table using the console
Loading data into the table using the console
Querying data using the DynamoDB console
Deleting the DynamoDB table using the console
Analyzing DynamoDB metric on CloudWatch
Downloading and setting up DynamoDB Local
Using DynamoDB Local JavaScript Shell
Setting up AWS Command Line Interface for DynamoDB
Setting up the Eclipse IDE
2. Operating with DynamoDB Tables Chevron down icon Chevron up icon
2. Operating with DynamoDB Tables
Introduction
Creating a table using the AWS SDK for Java
Creating a table using the AWS SDK for .Net
Creating a table using the AWS SDK for PHP
Updating a table using the AWS SDK for Java
Updating a table using the AWS SDK for .Net
Updating a table using the AWS SDK for PHP
Listing tables using the AWS SDK for Java
Listing tables using the AWS SDK for .Net
Listing tables using the AWS SDK for PHP
Deleting a table using the AWS SDK for Java
Deleting a table using the AWS SDK for .Net
Deleting a table using the AWS SDK for PHP
3. Manipulating DynamoDB Items Chevron down icon Chevron up icon
3. Manipulating DynamoDB Items
Introduction
Putting an item into the DynamoDB table using the AWS SDK for Java
Putting an item into the DynamoDB table using the AWS SDK for .Net
Putting an item into the DynamoDB table using the AWS SDK for PHP
Getting an item from the DynamoDB table using the AWS SDK for Java
Getting an item from the DynamoDB table using the AWS SDK for .Net
Getting an item from the DynamoDB table using the AWS SDK for PHP
Updating an item in the DynamoDB table using the AWS SDK for Java
Updating an item in the DynamoDB table using the AWS SDK for .Net
Updating an item in the DynamoDB table using the AWS SDK for PHP
Deleting an item from the DynamoDB table using the AWS SDK for Java
Deleting an item from the DynamoDB table using the AWS SDK for .Net
Deleting an item from the DynamoDB table using the AWS SDK for PHP
Getting multiple items using the AWS SDK for Java
Getting multiple items using the AWS SDK for .Net
Getting multiple items using the AWS SDK for PHP
Batch write operations using the AWS SDK for Java
Batch write operations using the AWS SDK for .Net
Batch write operations using the AWS SDK for PHP
4. Managing DynamoDB Indexes Chevron down icon Chevron up icon
4. Managing DynamoDB Indexes
Introduction
Creating a DynamoDB table with a Global Secondary Index using the AWS SDK for Java
Creating a DynamoDB table with a Global Secondary Index using the AWS SDK for .Net
Creating a DynamoDB table with a Global Secondary Index using the AWS SDK for PHP
Querying a Global Secondary Index using the AWS SDK for Java
Querying a Global Secondary Index using the AWS SDK for .Net
Querying a Global Secondary Index using the AWS SDK for PHP
Creating a DynamoDB table with a Local Secondary Index using the AWS SDK for Java
Creating a DynamoDB table with a Local Secondary Index using the AWS SDK for .Net
Creating a DynamoDB table with a Local Secondary Index using the AWS SDK for PHP
Querying a Local Secondary Index using the AWS SDK for Java
Querying a Local Secondary Index using the AWS SDK for .Net
Querying a Local Secondary Index using the AWS SDK for PHP
Using a Global Secondary Index for quick lookups
5. Exploring Higher Level Programming Interfaces for DynamoDB Chevron down icon Chevron up icon
5. Exploring Higher Level Programming Interfaces for DynamoDB
Introduction
Creating a data model for the DynamoDB item using the object persistence model in Java
Putting items into the DynamoDB table using the object persistence model in Java
Retrieving items from the DynamoDB table using the object persistence model in Java
Creating a custom object for the DynamoDB table using the object persistence model in Java
Querying items from the DynamoDB table using the object persistence model in Java
Scanning items from the DynamoDB table using the object persistence model in Java
Saving items into the DynamoDB table using the object persistence model in .Net
Retrieving items from the DynamoDB table using the object persistence model in .Net
Creating a custom object for the DynamoDB table using the object persistence model in .Net
Querying items from the DynamoDB table using the object persistence model in .Net
Scanning items from the DynamoDB table using the object persistence model in .Net
6. Securing DynamoDB Chevron down icon Chevron up icon
6. Securing DynamoDB
Introduction
Creating users using AWS IAM
Creating a DynamoDB full access group using AWS IAM
Creating a DynamoDB read-only group using AWS IAM
Validating the DynamoDB access controls using the AWS IAM policy simulator
Creating the custom policy to allow the DynamoDB console access using AWS IAM
Creating a fine-grained access control policy using AWS IAM
Implementing the client-side encryption for the DynamoDB data
Implementing the client-side masking for the DynamoDB data
7. DynamoDB Best Practices Chevron down icon Chevron up icon
7. DynamoDB Best Practices
Introduction
Using a standalone cache for frequently accessed items
Using the AWS ElastiCache for frequently accessed items
Compressing large data before storing it in DynamoDB
Using AWS S3 for storing large items
Catching DynamoDB errors
Performing auto-retries on DynamoDB errors
Performing atomic transactions on DynamoDB tables
Performing asynchronous requests to DynamoDB
8. Integrating DynamoDB with other AWS Services Chevron down icon Chevron up icon
8. Integrating DynamoDB with other AWS Services
Introduction
Importing data from AWS S3 to DynamoDB using AWS Data Pipeline
Exporting data from AWS S3 to DynamoDB using AWS Data Pipeline
Accessing the DynamoDB data using AWS EMR
Querying the DynamoDB data using AWS EMR
Performing join operations on the DynamoDB data using AWS EMR
Exporting data to AWS S3 from DynamoDB using AWS EMR
Logging DynamoDB operations using AWS CloudTrail
Exporting the DynamoDB data to AWS Redshift
Importing the DynamoDB data to AWS CloudSearch
Performing a full text search on the DynamoDB data using CloudSearch
9. Developing Web Applications using DynamoDB Chevron down icon Chevron up icon
9. Developing Web Applications using DynamoDB
Introduction
Performing data modeling and table creations
Developing services for the sign-up activity for web applications
Developing services for the sign-in activity for web applications
Developing services for the Address Book application
Deploying web applications on AWS Elastic Beanstalk
10. Developing Mobile Applications using DynamoDB Chevron down icon Chevron up icon
10. Developing Mobile Applications using DynamoDB
Introduction
Performing data modeling and table creation
Creating an identity pool using AWS Cognito
Creating the access policy and applying it to the AWS Cognito role
Implementing user registration services
Implementing user login services
Implementing add new contact services
Implementing view contacts services
Index Chevron down icon Chevron up icon
Index

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Customer reviews

Top Reviews
  • Top Reviews
  • Most Recent
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.9
(8 Ratings)
5 star 50%
4 star 25%
3 star 0%
2 star 12.5%
1 star 12.5%
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Kenny Ha Nov 28, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I really wished that this book had came out a few years earlier. This excellent NoSQL DynamoDB Cookbook will allow you to gain insights into the next generation of high-availability, reliability and infinite scalability of developing internet & mobile applications. Whether you're a programmer or an architect, if you're looking to design scalable distributed systems, you must check out this book. This book provides a step-by-step instruction on how to create tables and manipulate items. There are examples of best practices and sample codes to help you manage primary key type, hash and range attributes along with global local and secondary indices. In addition, there are integration examples with other advanced AWS services. You can get this book at https://www.packtpub.com/big-data-and-business-intelligence/dynamodb-cookbook. For further technical reading, you can visit http://oneglobalonline.com.
Amazon Verified review Amazon
SuJo Dec 02, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have a MySQL / MSSQL / MongoDB background for all of my web applications and I wanted to branch out into DynamoDB for performance gains in highly available applications. The book covered everything clearly, how to achieve high read/write throughput while guiding you with best practices. While I just started with the NoSQL databases this one worked fine for my tests, and in a data-driven environment it will certainly out perform my slow MSSQL transactions. Not to mention the per core licence M$ is doing, crazy! I highly recommend this book if you want to get serious about high availability for data demanding applications.
Amazon Verified review Amazon
PJG Dec 01, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As with many cookbooks of this type, the entire thing rests on whether the recipes included are actually of practical use or not. In this case, they most definitely are, and follow a well-arranged and logical order that starts from the basics. The great thing about the recipes is that they reallydo allow the reader to get to grips with a well-featured and highly-performant NoSQL database, and the book really hits the ground running. The chapters include relevant 'best practices' and a very useful later chapter on how to integrate DynamoSB with other AWS services.As with many Packt titles, the book is succinct - just under 200 pages - but this style seems to work much better in cookbook format where very specific examples, that are relatively self-contained, are presented. Recommended for anyone looking to get acquainted with DynamoDB through practical examples.
Amazon Verified review Amazon
ruben Dec 02, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
AWS DynamoDB is an excellent example of a production-ready NoSQL database. In recent years, DynamoDB has been able to attract many customers because of its features like high-availability, reliability and infinite scalability. DynamoDB can be easily integrated with massive data crunching tools like Hadoop /EMR, which is an essential part of this data-driven world and hence it is widely accepted. The cost and time-efficient design makes DynamoDB stand out amongst its peers. The design of DynamoDB is so neat and clean that it has inspired many NoSQL databases to simply follow it.This is a very complete title, I have used MySQL it is an important book that it helps me to learn other tool to manage Database, it is a useful material
Amazon Verified review Amazon
Neeraj Goel Oct 15, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
As expected
Amazon Verified review Amazon

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About the author

Profile icon Deshpande
Deshpande
Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
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