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Hacks for TikTok: 150 Tips and Tricks for Editing and Posting Videos, Getting Likes, Keeping Your Fans Happy, and Making Money
by Kyle BrachBecome a Pro at TikTok with This Tell-All Guide! From getting started to getting famous, Hacks for TikTok is the perfect hands-on guide for learning how to use Tiktok for your own personal enjoyment as well as for getting noticed, getting likes, and getting followed. This book covers the ins and outs of the app, providing practical advice so that you can master creating and managing content and grow your following. With this comprehensive guide, learn how to:• Navigate the TikTok app • Edit and post videos • Add special effects and sound clips • Interact and engage with your audience • Go viral and get famous • Keep your fans happy • Make money • And learn hacks for duets, skits, lip-syncing, challenges, and more! Including simple step-by-step instructions and screenshots for visual aid, this book is the perfect resource for beginners looking to learn the ropes and experts to brush up on their knowledge.
Hacks, Leaks, and Revelations: The Art of Analyzing Hacked and Leaked Data
by Micah LeeData-science investigations have brought journalism into the 21st century, and—guided by The Intercept&’s infosec expert Micah Lee— this book is your blueprint for uncovering hidden secrets in hacked datasets.Unlock the internet&’s treasure trove of public interest data with Hacks, Leaks, and Revelations by Micah Lee, an investigative reporter and security engineer. This hands-on guide blends real-world techniques for researching large datasets with lessons on coding, data authentication, and digital security. All of this is spiced up with gripping stories from the front lines of investigative journalism.Dive into exposed datasets from a wide array of sources: the FBI, the DHS, police intelligence agencies, extremist groups like the Oath Keepers, and even a Russian ransomware gang. Lee&’s own in-depth case studies on disinformation-peddling pandemic profiteers and neo-Nazi chatrooms serve as blueprints for your research.Gain practical skills in searching massive troves of data for keywords like &“antifa&” and pinpointing documents with newsworthy revelations. Get a crash course in Python to automate the analysis of millions of files.You will also learn how to:Master encrypted messaging to safely communicate with whistleblowers.Secure datasets over encrypted channels using Signal, Tor Browser, OnionShare, and SecureDrop.Harvest data from the BlueLeaks collection of internal memos, financial records, and more from over 200 state, local, and federal agencies.Probe leaked email archives about offshore detention centers and the Heritage Foundation.Analyze metadata from videos of the January 6 attack on the US Capitol, sourced from the Parler social network.We live in an age where hacking and whistleblowing can unearth secrets that alter history. Hacks, Leaks, and Revelations is your toolkit for uncovering new stories and hidden truths. Crack open your laptop, plug in a hard drive, and get ready to change history.
Hadamard Products of Projective Varieties (Frontiers in Mathematics)
by Cristiano Bocci Enrico CarliniThis monograph deals with the Hadamard products of algebraic varieties. A typical subject of study in Algebraic Geometry are varieties constructed from other geometrical objects. The most well-known example is constituted by the secant varieties, which are obtained through the construction of the join of two algebraic varieties, which, in turn, is based on the operation of summing two vectors. However, other constructions are possible through a change of the basic operation. One remarkable case is based on the Hadamard product of two vectors. While secant varieties of algebraic varieties have been studied extensively and systematically, the same is not yet true for the Hadamard products of algebraic varieties. This monograph aims to bridge this gap in the literature.The topic is presented in a self-contained manner, and it is accessible to all readers with sound knowledge of Commutative Algebra and Algebraic Geometry. Both experienced researchers and students can profit from this monograph, which will guide them through the subject. The foundational aspects of the Hadamard products of algebraic varieties are covered and some connections both within and outside Algebraic Geometry are presented. The theoretical and algorithmic aspects of the subject are considered to demonstrate the effectiveness of the results presented. Thus, this monograph will also be useful to researchers in other fields, such as Algebraic Statistics, since it provides several algebraic and geometric results on such products.
Hadoop: Data Processing and Modelling
by Sandeep Karanth Garry Turkington Tanmay DeshpandeUnlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets About This Book * Conquer the mountain of data using Hadoop 2.X tools * The authors succeed in creating a context for Hadoop and its ecosystem * Hands-on examples and recipes giving the bigger picture and helping you to master Hadoop 2.X data processing platforms * Overcome the challenging data processing problems using this exhaustive course with Hadoop 2.X Who This Book Is For This course is for Java developers, who know scripting, wanting a career shift to Hadoop - Big Data segment of the IT industry. So if you are a novice in Hadoop or an expert, this book will make you reach the most advanced level in Hadoop 2.X. What You Will Learn * Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand * Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer * Installing and maintaining Hadoop 2.X cluster and its ecosystem * Advanced Data Analysis using the Hive, Pig, and Map Reduce programs * Machine learning principles with libraries such as Mahout and Batch and Stream data processing using Apache Spark * Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0 * Dive into YARN and Storm and use YARN to integrate Storm with Hadoop * Deploy Hadoop on Amazon Elastic MapReduce and Discover HDFS replacements and learn about HDFS Federation In Detail As Marc Andreessen has said "Data is eating the world," which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. With proper and effective use of Hadoop, you can build new-improved models, and based on that you will be able to make the right decisions. The first module, Hadoop beginners Guide will walk you through on understanding Hadoop with very detailed instructions and how to go about using it. Commands are explained using sections called "What just happened" for more clarity and understanding. The second module, Hadoop Real World Solutions Cookbook, 2nd edition, is an essential tutorial to effectively implement a big data warehouse in your business, where you get detailed practices on the latest technologies such as YARN and Spark. Big data has become a key basis of competition and the new waves of productivity growth. Hence, once you get familiar with the basics and implement the end-to-end big data use cases, you will start exploring the third module, Mastering Hadoop. So, now the question is if you need to broaden your Hadoop skill set to the next level after you nail the basics and the advance concepts, then this course is indispensable. When you finish this course, you will be able to tackle the real-world scenarios and become a big data expert using the tools and the knowledge based on the various step-by-step tutorials and recipes. Style and approach This course has covered everything right from the basic concepts of Hadoop till you master the advance mechanisms to become a big data expert. The goal here is to help you learn the basic essentials using the step-by-step tutorials and from there moving toward the recipes with various real-world solutions for you. It covers all the important aspects of Hadoop from system designing and configuring Hadoop, machine learning principles with various libraries with chapters illustrated with code fragments and schematic diagrams. This is a compendious course to explore Hadoop from the basics to the most advanced techniques available in Hadoop 2.X.
Hadoop: The Definitive Guide
by Tom WhiteDiscover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing datasets of any size, and administrators will learn how to set up and run Hadoop clusters. This revised edition covers recent changes to Hadoop, including new features such as Hive, Sqoop, and Avro. It also provides illuminating case studies that illustrate how Hadoop is used to solve specific problems. Looking to get the most out of your data? This is your book. Use the Hadoop Distributed File System (HDFS) for storing large datasets, then run distributed computations over those datasets with MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Analyze datasets with Hive, Hadoop's data warehousing system Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems "Now you have the opportunity to learn about Hadoop from a master -- not only of the technology, but also of common sense and plain talk." --Doug Cutting, Cloudera
Hadoop: The Definitive Guide
by Tom WhiteHadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters.Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduceBecome familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistenceDiscover common pitfalls and advanced features for writing real-world MapReduce programsDesign, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloudUse Pig, a high-level query language for large-scale data processingTake advantage of HBase, Hadoop's database for structured and semi-structured dataLearn ZooKeeper, a toolkit of coordination primitives for building distributed systemsIf you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject."Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk."-- Doug Cutting, Hadoop Founder, Yahoo!
Hadoop: Storage and Analysis at Internet Scale
by Tom WhiteGet ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing.Learn fundamental components such as MapReduce, HDFS, and YARNExplore MapReduce in depth, including steps for developing applications with itSet up and maintain a Hadoop cluster running HDFS and MapReduce on YARNLearn two data formats: Avro for data serialization and Parquet for nested dataUse data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer)Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with HadoopLearn the HBase distributed database and the ZooKeeper distributed configuration service
Hadoop 2.x Administration Cookbook
by Gurmukh SinghOver 100 practical recipes to help you become an expert Hadoop administrator About This Book • Become an expert Hadoop administrator and perform tasks to optimize your Hadoop Cluster • Import and export data into Hive and use Oozie to manage workflow. • Practical recipes will help you plan and secure your Hadoop cluster, and make it highly available Who This Book Is For If you are a system administrator with a basic understanding of Hadoop and you want to get into Hadoop administration, this book is for you. It's also ideal if you are a Hadoop administrator who wants a quick reference guide to all the Hadoop administration-related tasks and solutions to commonly occurring problems What You Will Learn • Set up the Hadoop architecture to run a Hadoop cluster smoothly • Maintain a Hadoop cluster on HDFS, YARN, and MapReduce • Understand high availability with Zookeeper and Journal Node • Configure Flume for data ingestion and Oozie to run various workflows • Tune the Hadoop cluster for optimal performance • Schedule jobs on a Hadoop cluster using the Fair and Capacity scheduler • Secure your cluster and troubleshoot it for various common pain points In Detail Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You'll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters. Style and approach This book contains short recipes that will help you run a Hadoop cluster efficiently. The recipes are solutions to real-life problems that administrators encounter while working with a Hadoop cluster
Hadoop Application Architectures
by Mark Grover Jonathan Seidman Gwen Shapira Ted MalaskaGet expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case.To reinforce those lessons, the book's second section provides detailed examples of architectures used in some of the most commonly found Hadoop applications. Whether you're designing a new Hadoop application, or planning to integrate Hadoop into your existing data infrastructure, Hadoop Application Architectures will skillfully guide you through the process.This book covers:Factors to consider when using Hadoop to store and model dataBest practices for moving data in and out of the systemData processing frameworks, including MapReduce, Spark, and HiveCommon Hadoop processing patterns, such as removing duplicate records and using windowing analyticsGiraph, GraphX, and other tools for large graph processing on HadoopUsing workflow orchestration and scheduling tools such as Apache OozieNear-real-time stream processing with Apache Storm, Apache Spark Streaming, and Apache FlumeArchitecture examples for clickstream analysis, fraud detection, and data warehousing
Hadoop Beginner's Guide
by Garry TurkingtonAs a Packt Beginner's Guide, the book is packed with clear step-by-step instructions for performing the most useful tasks, getting you up and running quickly, and learning by doing. This book assumes no existing experience with Hadoop or cloud services. It assumes you have familiarity with a programming language such as Java or Ruby but gives you the needed background on the other topics.
Hadoop Blueprints
by Anurag Shrivastava Tanmay DeshpandeUse Hadoop to solve business problems by learning from a rich set of real-life case studies About This Book * Solve real-world business problems using Hadoop and other Big Data technologies * Build efficient data lakes in Hadoop, and develop systems for various business cases like improving marketing campaigns, fraud detection, and more * Power packed with six case studies to get you going with Hadoop for Business Intelligence Who This Book Is For If you are interested in building efficient business solutions using Hadoop, this is the book for you This book assumes that you have basic knowledge of Hadoop, Java, and any scripting language. What You Will Learn * Learn about the evolution of Hadoop as the big data platform * Understand the basics of Hadoop architecture * Build a 360 degree view of your customer using Sqoop and Hive * Build and run classification models on Hadoop using BigML * Use Spark and Hadoop to build a fraud detection system * Develop a churn detection system using Java and MapReduce * Build an IoT-based data collection and visualization system * Get to grips with building a Hadoop-based Data Lake for large enterprises * Learn about the coexistence of NoSQL and In-Memory databases in the Hadoop ecosystem In Detail If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake - all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space. Style and approach This is an example-driven book where each chapter covers a single business problem and describes its solution by explaining the structure of a dataset and tools required to process it. Every project is demonstrated with a step-by-step approach, and explained in a very easy-to-understand manner.
Hadoop Cluster Deployment
by Danil ZburivskyThis book is a step-by-step tutorial filled with practical examples which will show you how to build and manage a Hadoop cluster along with its intricacies.This book is ideal for database administrators, data engineers, and system administrators, and it will act as an invaluable reference if you are planning to use the Hadoop platform in your organization. It is expected that you have basic Linux skills since all the examples in this book use this operating system. It is also useful if you have access to test hardware or virtual machines to be able to follow the examples in the book.
Hadoop Essentials
by Shiva AchariIf you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. This book is also meant for Hadoop professionals who want to find solutions to the different challenges they come across in their Hadoop projects.
Hadoop For Dummies
by Dirk DeroosLet Hadoop For Dummies help harness the power of your data and rein in the information overloadBig data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.Explains the origins of Hadoop, its economic benefits, and its functionality and practical applicationsHelps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easilyDetails how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solvingShows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop clusterFrom programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.
Hadoop for Finance Essentials
by Rajiv TiwariThis book is perfect for developers, analysts, architects or managers who would like to perform big data analytics with Hadoop for the financial sector. This book is also helpful for technology professionals from other industry sectors who have recently switched or like to switch their business domain to financial sector. Familiarity with big data, Java programming, database and data warehouse, and business intelligence would be beneficial.
Hadoop in Action
by Chuck LamHadoop in Action teaches readers how to use Hadoop and write MapReduce programs. The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. Hadoop in Action will lead the reader from obtaining a copy of Hadoop to setting it up in a cluster and writing data analytic programs.The book begins by making the basic idea of Hadoop and MapReduce easier to grasp by applying the default Hadoop installation to a few easy-to-follow tasks, such as analyzing changes in word frequency across a body of documents. The book continues through the basic concepts of MapReduce applications developed using Hadoop, including a close look at framework components, use of Hadoop for a variety of data analysis tasks, and numerous examples of Hadoop in action.Hadoop in Action will explain how to use Hadoop and present design patterns and practices of programming MapReduce. MapReduce is a complex idea both conceptually and in its implementation, and Hadoop users are challenged to learn all the knobs and levers for running Hadoop. This book takes you beyond the mechanics of running Hadoop, teaching you to write meaningful programs in a MapReduce framework.This book assumes the reader will have a basic familiarity with Java, as most code examples will be written in Java. Familiarity with basic statistical concepts (e.g. histogram, correlation) will help the reader appreciate the more advanced data processing examples. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
Hadoop in Practice
by Alex HolmesSummaryHadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating Kafka, Impala, and Spark SQL with Hadoop. You'll also get new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the BookIt's always a good time to upgrade your Hadoop skills! Hadoop in Practice, Second Edition provides a collection of 104 tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters, and taming big data using Hadoop. This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. You'll pick up hands-on best practices for integrating Spark, Kafka, and Impala with Hadoop, and get new and updated techniques for the latest versions of Flume, Sqoop, and Mahout. In short, this is the most practical, up-to-date coverage of Hadoop available.Readers need to know a programming language like Java and have basic familiarity with Hadoop.What's InsideThoroughly updated for Hadoop 2How to write YARN applicationsIntegrate real-time technologies like Storm, Impala, and SparkPredictive analytics using Mahout and RR Readers need to know a programming language like Java and have basic familiarity with Hadoop. About the AuthorAlex Holmes works on tough big-data problems. He is a software engineer, author, speaker, and blogger specializing in large-scale Hadoop projects.Table of ContentsPART 1 BACKGROUND AND FUNDAMENTALSHadoop in a heartbeatIntroduction to YARNPART 2 DATA LOGISTICSData serialization—working with text and beyondOrganizing and optimizing data in HDFSMoving data into and out of HadoopPART 3 BIG DATA PATTERNSApplying MapReduce patterns to big dataUtilizing data structures and algorithms at scaleTuning, debugging, and testingPART 4 BEYOND MAPREDUCESQL on Hadoop Writing a YARN application
Hadoop MapReduce Cookbook
by Thilina Gunarathne Srinath PereraIndividual self-contained code recipes. Solve specific problems using individual recipes, or work through the book to develop your capabilities. If you are a big data enthusiast and striving to use Hadoop to solve your problems, this book is for you. Aimed at Java programmers with some knowledge of Hadoop MapReduce, this is also a comprehensive reference for developers and system admins who want to get up to speed using Hadoop.
Hadoop MapReduce v2 Cookbook - Second Edition
by Thilina GunarathneIf you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.
Hadoop Operations
by Eric Sammer<p>If you’ve been tasked with the job of maintaining large and complex Hadoop clusters, or are about to be, this book is a must. You’ll learn the particulars of Hadoop operations, from planning, installing, and configuring the system to providing ongoing maintenance.</p>
Hadoop Operations: A Guide for Developers and Administrators
by Eric SammerIf you’ve been asked to maintain large and complex Hadoop clusters, this book is a must. Demand for operations-specific material has skyrocketed now that Hadoop is becoming the de facto standard for truly large-scale data processing in the data center. Eric Sammer, Principal Solution Architect at Cloudera, shows you the particulars of running Hadoop in production, from planning, installing, and configuring the system to providing ongoing maintenance.Rather than run through all possible scenarios, this pragmatic operations guide calls out what works, as demonstrated in critical deployments.Get a high-level overview of HDFS and MapReduce: why they exist and how they workPlan a Hadoop deployment, from hardware and OS selection to network requirementsLearn setup and configuration details with a list of critical propertiesManage resources by sharing a cluster across multiple groupsGet a runbook of the most common cluster maintenance tasksMonitor Hadoop clusters—and learn troubleshooting with the help of real-world war storiesUse basic tools and techniques to handle backup and catastrophic failure
Hadoop Operations and Cluster Management Cookbook
by Shumin GuoSolve specific problems using individual self-contained code recipes, or work through the book to develop your capabilities. This book is packed with easy-to-follow code and commands used for illustration, which makes your learning curve easy and quick.If you are a Hadoop cluster system administrator with Unix/Linux system management experience and you are looking to get a good grounding in how to set up and manage a Hadoop cluster, then this book is for you. It's assumed that you will have some experience in Unix/Linux command line already, as well as being familiar with network communication basics.
Hadoop Real-World Solutions Cookbook
by Jon Lentz Brian Femiano Jonathan R. OwensCookbook recipes demonstrate Hadoop in action and then explain the concepts behind the code. This book is ideal for developers who wish to have a better understanding of Hadoop application development and associated tools, and developers who understand Hadoop conceptually but want practical examples of real world applications.
Hadoop Real-World Solutions Cookbook - Second Edition
by Tanmay DeshpandeOver 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout About This Book * 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 Readers who have a basic knowledge of big data systems and want to advance their knowledge with hands-on recipes. What You Will Learn * Installing and maintaining Hadoop 2.X cluster and its ecosystem. * Write advanced Map Reduce programs and understand design patterns. * Advanced Data Analysis using the Hive, Pig, and Map Reduce programs. * Import and export data from various sources using Sqoop and Flume. * Data storage in various file formats such as Text, Sequential, Parquet, ORC, and RC Files. * Machine learning principles with libraries such as Mahout * Batch and Stream data processing using Apache Spark In Detail Big data is the current requirement. Most organizations produce huge amount of data every day. With the arrival of Hadoop-like tools, it has become easier for everyone to solve big data problems with great efficiency and at minimal cost. Grasping Machine Learning techniques will help you greatly in building predictive models and using this data to make the right decisions for your organization. Hadoop Real World Solutions Cookbook gives readers insights into learning and mastering big data via recipes. The book not only clarifies most big data tools in the market but also provides best practices for using them. The book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many more such ecosystem tools. This real-world-solution cookbook is packed with handy recipes you can apply to your own everyday issues. Each chapter provides in-depth recipes that can be referenced easily. This book provides detailed practices on the latest technologies such as YARN and Apache Spark. Readers will be able to consider themselves as big data experts on completion of this book. This guide is an invaluable tutorial if you are planning to implement a big data warehouse for your business. Style and approach An easy-to-follow guide that walks you through world of big data. Each tool in the Hadoop ecosystem is explained in detail and the recipes are placed in such a manner that readers can implement them sequentially. Plenty of reference links are provided for advanced reading.
Hadoop Security
by Joey Echeverria Ben SpiveyAs more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems increases exponentially. This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also shows how to limit the ability of an attacker to corrupt or modify data in the event of a security breach.Authors Ben Spivey and Joey Echeverria provide in-depth information about the security features available in Hadoop, and organize them according to common computer security concepts. You'll also get real-world examples that demonstrate how you can apply these concepts to your use cases.Understand the challenges of securing distributed systems, particularly HadoopUse best practices for preparing Hadoop cluster hardware as securely as possibleGet an overview of the Kerberos network authentication protocolDelve into authorization and accounting principles as they apply to HadoopLearn how to use mechanisms to protect data in a Hadoop cluster, both in transit and at restIntegrate Hadoop data ingest into enterprise-wide security architectureEnsure that security architecture reaches all the way to end-user access