Learn IT - Books tags batch

Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

Apress, 2018

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.

Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book...

Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform

Apress, 2018

Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.

Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware...

Spring Boot 2 Recipes: A Problem-Solution Approach

Apress, 2018

Solve all your Spring Boot 2 problems using complete and real-world code examples. When you start a new project, you’ll be able to copy the code and configuration files from this book, and then modify them for your needs. This can save you a great deal of work over creating a project from scratch.

Using a...

Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

Packt Publishing, 2018

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3

Key Features

Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud

Integrate Hadoop with other big data tools such as R, Python, Apache...

Spark for Python Developers

Packt Publishing, 2015

Key Features

Set up real-time streaming and batch data intensive infrastructure using Spark and Python
Deliver insightful visualizations in a web app using Spark (PySpark)
Inject live data using Spark Streaming with real-time events

Book Description

Looking...

Hadoop Real World Solutions Cookbook - Second Edition

Packt Publishing, 2016

Key Features

Implement outstanding Machine Learning use cases on your own analytics models and processes.
Solutions to common problems when working with the Hadoop ecosystem.
Step-by-step implementation of end-to-end big data use cases.

Who This Book Is For

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Hadoop Real World Solutions Cookbook

Packt Publishing, 2013

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

Solutions to common problems when working in the Hadoop...

Hibernate Recipes: A Problem-Solution Approach

Apress, 2015

Hibernate Recipes, Second Edition contains a collection of code recipes and templates for learning and building Hibernate solutions for you and your clients, including how to work with the Spring Framework and the JPA. This book is your pragmatic day-to-day reference and guide for doing all things involving Hibernate. There are many books...

Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem

Apress, 2017

Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm,...

Oracle RMAN Pocket Reference

O'Reilly, 2001

This book is a quick-reference guide for Recovery Manager (RMAN), Oracle's utility to manage all of your Oracle database backup and recovery activities. This book is not a comprehensive backup and recovery book. It contains an overview of RMAN architecture, shows briefly how to backup and restore databases using RMAN, describes catalog setup...

Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics (The Expert's Voice)

Apress, 2013

Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications?

Big data is emerging...

Just Spring Data Access: Covers JDBC, Hibernate, JPA and JDO

O'Reilly, 2012

JDBC has simplified database access in Java applications, but a few nagging wrinkles remain—namely, persisting Java objects to relational databases. With this book, you’ll learn how the Spring Framework makes that job incredibly easy with dependency injection, template classes, and object-relational-mapping (ORM).

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