Big Data Analytics. Real time analytics using Apache Spark and Hadoop

Venkat Ankam

Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data.

Big Data Analytics with Java. Data analysis, visualization & machine learning techniques

RAJAT MEHTA

This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset.This book is an end-to-end guide to implement analytics on big data withJava. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into twosections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analyticson big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networkson big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.

Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS

David Pope

SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one’s career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data.The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS’s architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS.

Big Data Visualization. Bring scalability and dynamics to your Big Data visualization

James D. Miller

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics

BizTalk Server 2010 Cookbook. Over 50 recipes for developers and administrators looking to deliver well-built BizTalk solutions and environments with this book and

Steef-Jan Wiggers

BizTalk enables the integration and managment of automated business processes within or across organizational boundaries. To build a solid BizTalk solution, deploy a robust environment, and keep it running smoothly you sometimes need to broaden your spectrum, explore all possibilities, and choose the best solution for your purpose. By following the recipes in this book you will gain required knowledge and succeed in your implementation.With BizTalk Server 2010 Cookbook, you can leverage and hone your skills. More than 50 recipes will guide you in implementing BizTalk solutions, setting up a robust and well performing BizTalk environment, and choosing the right solution for monitoring it. As a developer or administrator you greatly benefit from taking these recipes to work.In this book a developer and administrator will see how to deploy, build, and maintain a BizTalk environment. How to apply patterns for robust orchestrations, messaging and testing.Administrators will learn to set up an environment using Microsoft best practices and tools to deliver a robust, performing and durable BizTalk environment. Besides setting up their environments administrators can also decide through a number of recipes how to monitor and maintain the environment. A developer can contribute to a healthy environment by implementing instrumentation in artefacts, applying well suited pattern(s) and testing the solutions built.

Building and Delivering Microservices on AWS. Master software architecture patterns to develop and deliver microservices to AWS Cloud

Amar Deep Singh, Jeff Carpenter

Reliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines.You’ll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You’ll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you’ll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you’ll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins.By the end of this microservices book, you’ll have gained the hands-on skills to build release pipelines for your applications.

Building Apple Watch Projects. Click here to enter text

Stuart Grimshaw

With Apple’s eagerly anticipated entry into the wearable arena, the field is wide open for a new era of app development. The Apple Watch is one of the most important technologies of our time. This easy-to-understand book takes beginners on a delightful journey of discovering the features available to the developer, right up to the completion of medium-level projects ready for App Store submission. It provides the fastest way to develop real-world apps for the Apple Watch by teaching you the concepts of Watch UI, visual haptic and audio, message and data exchange between watch and phone, Web communication, and finally Visual, haptic as well as audio feedback for users.By the end of this book, you will have developed at least four fully functioning apps for deployment on watchOS 2.

Building Dashboards with Microsoft Dynamics GP 2016. Excel, Jet Reports, and MS Power BI with GP 2016 - Second Edition

Belinda Allen, Mark Polino

Microsoft Dynamics GP is a complete ERP solution that is extremely beneficial for small to midsize organizations in helping them grow exponentially.The book shows you in detail how to build great-looking dashboards with Microsoft Dynamics GP that enhance a company’s decision-making processes. This guide will take you from the basics of setting up and deploying to creating secure, refreshable Excel reports. Using a whole host of tools available within Microsoft Dynamics GP and Excel, this tutorial will show you how to visualize your data using simple conditional formatting techniques and easy-to-read charts, and allow you to make your data interactive with slicers. We will also cover core topics such as Business Analyzer, Microsoft SQL Reporting services reports, BI360, and more. You will find out to use Power BI, share and refresh data and dashboards in Power BI, and use Power BI Query Editor.By the end of this book, you will have all the information required to build interactive dashboards using Dynamics GP.