Packt+ | Advance your knowledge in tech

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Practical Real-time Data Processing and Analytics

You're reading from Practical Real-time Data Processing and Analytics Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781787281202

Length 360 pages

Edition 1st Edition

Languages

Processing

Tools

Apache Spark

Concepts

Data Analysis

Authors (2):

Shilpi Saxena

Saurabh Gupta

View More author details

Table of Contents (14) Chapters

Preface

1. Introducing Real-Time Analytics FREE CHAPTER

2. Real Time Applications – The Basic Ingredients

3. Understanding and Tailing Data Streams

4. Setting up the Infrastructure for Storm

5. Configuring Apache Spark and Flink

6. Integrating Storm with a Data Source

7. From Storm to Sink

8. Storm Trident

9. Working with Spark

10. Working with Spark Operations

11. Spark Streaming

12. Working with Apache Flink

13. Case Study

Integrating the presentation layer with Storm

Visualization over data is adding power to know your data in the best way and also you can take key decisions based on those. There are numerous tools available on the market for visualization. Every visualization tool needs a database to store and process the data. Some combinations are Grafana over Elasticseach, Kibana over Elasticsearch,and Grafana over Influxdb. In this chapter, we will discuss the fusion of Grafana, Elasticsearch, and Storm.

In this example, we will use the data stream from PubNub, which provides real-time sensor data. PubNub provides all types of APIs to read data from the channel. Here, a program is required to get the values from the PubNub subscribed channel and push it into a Kafka topic. You will the find program in the code bundle.

Setting up Grafana with the Elasticsearch plugin

Grafana is analytics platform which understands your data and visualizes it on a dashboard.

Downloading Grafana

Download Grafana from https:...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Shilpi Saxena

Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.

See other products by Shilpi Saxena

Saurabh Gupta

Saurabh Gupta

Saurabh Gupta is an software engineer who has worked aspects of software requirements, designing, execution, and delivery. Saurabh has more than 3 years of experience working in Big Data domain. Saurabh is handling and designing real time as well as batch processing projects running in production including technologies like Impala, Storm, NiFi, Kafka and deployment on AWS using Docker. Saurabh also worked in product development and delivery. Saurabh has total 10 years (3+ years in Big Data) rich experience in IT industry. Saurabh has exposure in various IOT use-cases including Telecom, HealthCare, Smart city, Smart cars and so on.

See other products by Saurabh Gupta

Other recommended products

Related to this chapter

Mastering Apache Storm

Mastering Apache Storm

With real-world examples and clear explanations, this book will ensure you will have a thorough mastery Apache Storm.You'll get an understanding of deploying Storm on clusters. Introduce yourself to topics such as trident topology, monitoring, Storm Parallelism, scheduler and log processing. Learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm.You will be able to use the knowledge to develop efficient, distributed real-time applications to cater to your business needs.

Aug 2017 9h 28m

Apache Kafka 1.0 Cookbook

Apache Kafka 1.0 Cookbook

Apache Kafka is an open source stream processing platform to handle real-time data feeds. This book is a highly practical guide to help you understand the fundamentals as well as the advanced applications of Apache Kafka as an enterprise messaging service. It begins with configuring the basic Kafka APIs, and then shows you how to set up Kafka clusters and basic Kafka operations. It covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. By the end of this book, you will have all the knowledge you need to take your understanding of Apache Kafka to the next level and tackle any problem you might encounter while working with it.

Dec 2017 8h 20m

Apache Kafka 1.0 Cookbook

Apache Kafka 1.0 Cookbook

Apache Kafka is an open source stream processing platform to handle real-time data feeds. This book is a highly practical guide to help you understand the fundamentals as well as the advanced applications of Apache Kafka as an enterprise messaging service. It begins with configuring the basic Kafka APIs, and then shows you how to set up Kafka clusters and basic Kafka operations. It covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. By the end of this book, you will have all the knowledge you need to take your understanding of Apache Kafka to the next level and tackle any problem you might encounter while working with it.

Dec 2017 8h 20m

Learning Apache Flink

Learning Apache Flink

Feb 2017 9h 20m

Learning Apache Flink

Learning Apache Flink

Feb 2017 9h 20m

Learning Apache Flink

Learning Apache Flink

Feb 2017 9h 20m

Learning Apache Flink

Learning Apache Flink

Feb 2017 9h 20m

Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka

Apache Kafka is a popular distributed streaming platform which acts as a messaging queue or an enterprise messaging system. This book is a comprehensive guide on designing and architecting enterprise-grade streaming applications using Apache Kafka and other Big Data tools. Once you grasp the basics, we will take you through the more advance concepts in Apache Kafka such as capacity planning and security.

Aug 2017 9h 16m

Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka

Apache Kafka is a popular distributed streaming platform which acts as a messaging queue or an enterprise messaging system. This book is a comprehensive guide on designing and architecting enterprise-grade streaming applications using Apache Kafka and other Big Data tools. Once you grasp the basics, we will take you through the more advance concepts in Apache Kafka such as capacity planning and security.

Aug 2017 9h 16m

Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka

Apache Kafka is a popular distributed streaming platform which acts as a messaging queue or an enterprise messaging system. This book is a comprehensive guide on designing and architecting enterprise-grade streaming applications using Apache Kafka and other Big Data tools. Once you grasp the basics, we will take you through the more advance concepts in Apache Kafka such as capacity planning and security.

Aug 2017 9h 16m

Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka

Apache Kafka is a popular distributed streaming platform which acts as a messaging queue or an enterprise messaging system. This book is a comprehensive guide on designing and architecting enterprise-grade streaming applications using Apache Kafka and other Big Data tools. Once you grasp the basics, we will take you through the more advance concepts in Apache Kafka such as capacity planning and security.

Aug 2017 9h 16m

Apache Kafka Quick Start Guide

Apache Kafka Quick Start Guide

Learn how to use Apache Kafka for efficient processing of distributed applications. This book focuses on programming rather than configuration management of Kafka clusters or Dev Ops. Each chapter focuses on a practical aspect and tries to avoid the tedious theoretical sections. By the end of this book, you will be familiar with solving everyday problems in fast data and processing pipelines.

Dec 2018 6h 12m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m