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The Salesforce market is booming right now; employers have recognized the value that Salesforce experts add to an organization and want to hire them over their counterparts. This book will equip you with the tools you need to build a successful career in Salesforce administration and, moreover, it will help you crack the Advanced Admin Certifica...

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analyticsAbout This Book* Exclusive guide that covers how to get up and running with fast data processing using Apache Spark* Explore and exploit various possibilities with Apache Spark using real-world use cases in this book* Want to perform efficient data processing at real time? This book will be your one-stop solution. Who This Book Is ForThis guide appeals to big data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. Basic familiarity with Java or Scala will be helpful. The assumption is that readers will be from a mixed background, but would be typically people with background in engineering/data science with no prior Spark experience and want to understand how Spark can help them on their analytics journey. What You Will Learn* Get an overview of big data analytics and its importance for organizations and data professionals* Delve into Spark to see how it is different from existing processing platforms* Understand the intricacies of various file formats, and how to process them with Apache Spark. * Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager. * Learn the concepts of Spark SQL, SchemaRDD, Caching and working with Hive and Parquet file formats* Understand the architecture of Spark MLLib while discussing some of the off-the-shelf algorithms that come with Spark. * Introduce yourself to the deployment and usage of SparkR. * Walk through the importance of Graph computation and the graph processing systems available in the market* Check the real world example of Spark by building a recommendation engine with Spark using ALS. * Use a Telco data set, to predict customer churn using Random Forests. In DetailSpark juggernaut keeps on rolling and getting more and more momentum each day. Spark provides key capabilities in the form of Spark SQL, Spark Streaming, Spark ML and Graph X all accessible via Java, Scala, Python and R. Deploying the key capabilities is crucial whether it is on a Standalone framework or as a part of existing Hadoop installation and configuring with Yarn and Mesos. The next part of the journey after installation is using key components, APIs, Clustering, machine learning APIs, data pipelines, parallel programming. It is important to understand why each framework component is key, how widely it is being used, its stability and pertinent use cases. Once we understand the individual components, we will take a couple of real life advanced analytics examples such as 'Building a Recommendation system', 'Predicting customer churn' and so on. The objective of these real life examples is to give the reader confidence of using Spark for real-world problems. Style and approachWith the help of practical examples and real-world use cases, this guide will take you from scratch to building efficient data applications using Apache Spark. You will learn all about this excellent data processing engine in a step-by-step manner, taking one aspect of it at a time. This highly practical guide will include how to work with data pipelines, dataframes, clustering, SparkSQL, parallel programming, and such insightful topics with the help of real-world use cases.

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science productsAbout This Book* Develop and apply advanced analytical techniques with Spark* Learn how to tell a compelling story with data science using Spark's ecosystem* Explore data at scale and work with cutting edge data science methodsWho This Book Is ForThis book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn* Learn the design patterns that integrate Spark into industrialized data science pipelines* See how commercial data scientists design scalable code and reusable code for data science services* Explore cutting edge data science methods so that you can study trends and causality* Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs* Find out how Spark can be used as a universal ingestion engine tool and as a web scraper* Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining* Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams* Study advanced Spark concepts, solution design patterns, and integration architectures* Demonstrate powerful data science pipelinesIn DetailData science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance -solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approachThis is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.

Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring. About This Book* Perform essential database tasks such as benchmarking the database and optimizing the server's memory usage* Learn ways to improve query performance and optimize the PostgreSQL server* Explore a wide range of high availability and replication mechanisms to build robust, highly available, scalable, and fault-tolerant PostgreSQL databasesWho This Book Is ForIf you are a developer or administrator with limited PostgreSQL knowledge and want to develop your skills with this great open source database, then this book is ideal for you. Learning how to enhance the database performance is always an exciting topic to everyone, and this book will show you enough ways to enhance the database performance. What You Will Learn* Build replication strategies for homogeneous and heterogeneous databases* Test and build a powerful machine with multiple bench marking techniques* Get to know a few SQL injection techniques* Find out how to manage the replication using multiple tools* Benchmark the database server using multiple strategies* Work with the query processing algorithms and their internal behaviors* Build a proper plan to upgrade or migrate to PostgreSQL from other databases* See the essential database load balancing techniques and the various partitioning approaches PostgreSQL provides* Learn memory optimization techniques and database server configurationsIn DetailPostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems. If you run a database, you want it to perform well and you want to be able to secure it. As the world's most advanced open source database, PostgreSQL has unique built-in ways to achieve these goals. This book will show you a multitude of ways to enhance your database's performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. This book is your one-stop guide to elevate your PostgreSQL knowledge to the next level. First, you'll get familiarized with essential developer/administrator concepts such as load balancing, connection pooling, and distributing connections to multiple nodes. Next, you will explore memory optimization techniques before exploring the security controls offered by PostgreSQL. Then, you will move on to the essential database/server monitoring and replication strategies with PostgreSQL. Finally, you will learn about query processing algorithms. Style and approachThis comprehensive guide is packed with practical administration tasks. Each topic is explained using examples and a step-by-step approach.

This second edition of Industrial Cybersecurity is a practical guide to implementing a comprehensive and solid security program for the ICS environment. This book shows anyone new to industrial security or professionals looking to extend their industrial security posture how to effectively monitor their ICS environment.

OAuth 2.0 is a standard protocol for authorization and focuses on client development simplicity while providing specific authorization flows for web applications, desktop applications, mobile phones, and so on. This book also provides useful recipes for solving real-life problems using Spring Security and creating Android applications.

This book is your guide to exploring the various developer capabilities offered by SQL Server 2017. Model your data and the complex relationships within it, and integrate SQL Server with R and Python for efficient analytics. The book also covers the performance and troubleshooting aspects to help you develop efficient database applications.

This book is your one-stop guide to mastering Qlik Sense, catering for all your organizational BI needs. You'll see how you can seamlessly navigate through tons of organizational data from multiple sources and create smart visualizations that meet your unique business needs.

Chef is a configuration management tool that turns IT infrastructure into code. Chef provides tools to manage systems at scale. This learning path takes you on a comprehensive tour of Chef's functionality, ranging from its core features to advanced development.

NFRs are the lifeline of any software application, capturing and addressing them is a critical activity in any IT project. The book provides a comprehensive approach delivering strategic, tactical and operational engagements for fortune 100 customers worldwide.

The Enterprise PowerShell Scripting Bootcamp book is designed to provide real-world examples to solve common challenges in enterprises around the world. This book provides a scripting framework, optimization methodologies, and a final script to provide you with a platform to build your own enterprise-ready PowerShell scripts.

Learn how to build robust web applications using Vue.js with the help of this easy-to-follow guide. Explore exercises and examples to study the MVVM architecture, create customized plugins to enhance your website, and bring a static application to life by harnessing the power of Vue.js.

The Linux Kernel which possesses a kind of collective intelligence, attributed by its scores of contributors has managed to remain serene at its core and displays the efficiency of its design. Along with tips and tricks, this book follows a tenacious approach at decoding the core principles of the kernel.

IoT is an upcoming trend in the IT industry today; there are a lot of IoT devices on the market but there is a minimal understanding of how to safeguard them. If you are a security enthusiast or pentester, this book will help you understand how to exploit and secure IoT devices. You will learn how to identify vulnerabilities in IoT device archit...

Spring Security 4.2 is an incremental guide that will teach you how to protect your application from malicious users. Through this book, you will learn how to cleanly integrate Spring Security into your application using the latest technologies and frameworks with the help of detailed examples.

This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. Explore a data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques.

Microsoft Dynamics CRM is the most trusted name in the enterprise-level customer relationship management. The latest version of Dynamics CRM 2016 comes with important addition of some exciting features that is guaranteed to make your life easier with Dynamics CRM. This book will give a comprehensive coverage of Dynamics CRM 2016 and help you mak...