Nifi Fundamentals Cookbook

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NiFi Fundamentals & Cookbook

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Author : HadoopExam Learning Resources
Publisher : HadoopExam Learning Resources
ISBN 13 :
Total Pages : 130 pages
Book Rating : 4./5 ( download)

Book Synopsis NiFi Fundamentals & Cookbook by : HadoopExam Learning Resources

Download or read book NiFi Fundamentals & Cookbook written by HadoopExam Learning Resources and published by HadoopExam Learning Resources. This book was released on 2018-03-08 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book is published by www.HadoopExam.com (HadoopExam Learning Resources). Where you can find material and training's for preparing for BigData, Cloud Computing, Analytics, Data Science and popular Programming Language. This Book will contain 14 chapters, to cover NiFi concepts and providing 9+ use cases, so that you can understand the various fine grain detail about Apache NiFi. Also, it is recommended that you go through the NiFi Hands On Training provided by HadoopExam. In training we have created concepts as well as practicals by creating simple and complex workflow. While publishing this book there are 19 modules available, which are in-line with this book. As you know, NiFi recently become very popular to solve BigData, IOT (Internet of Things) , IOAT (Internet of Anything’s) etc. Having an exclusive skill will certainly give you edge with already lack of BigData resources. To help you HadoopExam.com brings full length Hands on training and this book to understand fundamental concepts of NiFi. We provide many Hands On session for creating simple to complex workflow/dataflow to process the data. As this is a continuously growing and fast paced technology. This technology not only helps in working BigData but also, wherever you need complex and simple DataFlow engine you can use this. NiFi can be integrated with existing technology e.g. Spark, HBase, Cassandra, RDBMS, HDFS and can even be customized as per your requirement. So start learning NiFi with HadoopExam.com premium training and book by getting subscription.

Classical Cooking The Modern Way

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Author : Philip Pauli
Publisher : John Wiley & Sons
ISBN 13 : 0471291870
Total Pages : 442 pages
Book Rating : 4.4/5 (712 download)

Book Synopsis Classical Cooking The Modern Way by : Philip Pauli

Download or read book Classical Cooking The Modern Way written by Philip Pauli and published by John Wiley & Sons. This book was released on 1999-09-07 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Europe's most authoritative culinary reference comes to the New World A sound and comprehensive knowledge of cooking theory and technique is as essential to a great cook as a full complement of well-made kitchen tools. Based on the European culinary classic, Lehrbuch der Küche, Classical Cooking the Modern Way: Methods and Techniques provides a complete review of the most basic culinary principles and methods that recipes call for again and again. Whether used alone or with its companion volume, Classical Cooking the Modern Way: Recipes, this book is a cornerstone culinary reference that belongs in every kitchen. With everything needed to master the core repertoire of cooking methods, from grilling and broiling to braising, sautéing, and more, it explains in detail how to work with all of the main types of ingredientsincluding meat and poultry, fruits and vegetables, and pastas and grains. Contributions from 75 acclaimed European chefs offer a dynamic and informed perspective on classical cookinga fresh and contemporary look at the fundamentals with a dash of Continental flavor.

Kafka: The Definitive Guide

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Author : Neha Narkhede
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491936118
Total Pages : 374 pages
Book Rating : 4.4/5 (919 download)

Book Synopsis Kafka: The Definitive Guide by : Neha Narkhede

Download or read book Kafka: The Definitive Guide written by Neha Narkhede and published by "O'Reilly Media, Inc.". This book was released on 2017-08-31 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems

Data Engineering with Python

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Author : Paul Crickard
Publisher : Packt Publishing Ltd
ISBN 13 : 1839212306
Total Pages : 357 pages
Book Rating : 4.8/5 (392 download)

Book Synopsis Data Engineering with Python by : Paul Crickard

Download or read book Data Engineering with Python written by Paul Crickard and published by Packt Publishing Ltd. This book was released on 2020-10-23 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is for This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.

Data Pipelines with Apache Airflow

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Author : Julian de Ruiter
Publisher : Simon and Schuster
ISBN 13 : 1638356831
Total Pages : 480 pages
Book Rating : 4.6/5 (383 download)

Book Synopsis Data Pipelines with Apache Airflow by : Julian de Ruiter

Download or read book Data Pipelines with Apache Airflow written by Julian de Ruiter and published by Simon and Schuster. This book was released on 2021-04-05 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An Airflow bible. Useful for all kinds of users, from novice to expert." - Rambabu Posa, Sai Aashika Consultancy Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. Its easy-to-use UI, plug-and-play options, and flexible Python scripting make Airflow perfect for any data management task. About the book Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You’ll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline’s needs. What's inside Build, test, and deploy Airflow pipelines as DAGs Automate moving and transforming data Analyze historical datasets using backfilling Develop custom components Set up Airflow in production environments About the reader For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills. About the author Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies. Bas is also an Airflow committer. Table of Contents PART 1 - GETTING STARTED 1 Meet Apache Airflow 2 Anatomy of an Airflow DAG 3 Scheduling in Airflow 4 Templating tasks using the Airflow context 5 Defining dependencies between tasks PART 2 - BEYOND THE BASICS 6 Triggering workflows 7 Communicating with external systems 8 Building custom components 9 Testing 10 Running tasks in containers PART 3 - AIRFLOW IN PRACTICE 11 Best practices 12 Operating Airflow in production 13 Securing Airflow 14 Project: Finding the fastest way to get around NYC PART 4 - IN THE CLOUDS 15 Airflow in the clouds 16 Airflow on AWS 17 Airflow on Azure 18 Airflow in GCP

DataBricks® PySpark 2.x Certification Practice Questions

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Author : Rashmi Shah
Publisher : HadoopExam Learning Resources
ISBN 13 :
Total Pages : 175 pages
Book Rating : 4./5 ( download)

Book Synopsis DataBricks® PySpark 2.x Certification Practice Questions by : Rashmi Shah

Download or read book DataBricks® PySpark 2.x Certification Practice Questions written by Rashmi Shah and published by HadoopExam Learning Resources. This book was released on 2019-04-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the questions answers and some FAQ about the Databricks Spark Certification for version 2.x, which is the latest release from Apache Spark. In this book we will be having in total 75 practice questions. Almost all required question would have in detail explanation to the questions and answers, wherever required. Don’t consider this book as a guide, it is more of question and answer practice book. This book also give some references as well like how to prepare further to ensure that you clear the certification exam. This book will particularly focus on the Python version of the certification preparation material. Please note these are practice questions and not dumps, hence just memorizing the question and answers will not help in the real exam. You need to understand the concepts in detail as well as you should be able to solve the programming questions at the end in real worlds work you should be able to write code using PySpark whether you are Data Engineer, Data Analytics Engineer, Data Scientists or Programmer. Hence, take the opportunity to learn each question and also go through the explanation of the questions.

Apache Cassandra Certification Practice Material : 2019

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Author :
Publisher : HadoopExam Learning Resources
ISBN 13 :
Total Pages : 100 pages
Book Rating : 4./5 ( download)

Book Synopsis Apache Cassandra Certification Practice Material : 2019 by :

Download or read book Apache Cassandra Certification Practice Material : 2019 written by and published by HadoopExam Learning Resources. This book was released on with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: About Professional Certification of Apache Cassandra: Apache Cassandra is one of the most popular NoSQL Database currently being used by many of the organization, globally in every industry like Aviation, Finance, Retail, Social Networking etc. It proves that there is quite a huge demand for certified Cassandra professionals. Having certification make your selection in the company make much easier. This certification is conducted by the DataStax®, which has the Enterprise Version of the Apache Cassandra and Leader in providing support for the open source Apache Cassandra NoSQL database. Cassandra is one of the Unique NoSQL Database. So go for its certification, it will certainly help in - Getting the Job - Increase in your salary - Growth in your career. - Managing Tera Bytes of Data. - Learning Distributed Database - Using CQL (Cassandra Query Language) Cassandra Certification Information: - Number of questions: 60 Multiple Choice - Time allowed in minutes: 90 - Required passing score: 75% - Languages: English Exam Objectives: There are in total 5 sections and you will be asked total 60 questions in real exam. Please check each section below with regards to the exam objective 1. Apache Cassandra™ data modeling 2. Fundamentals of replication and consistency 3. The distributed and internal architecture of Apache Cassandra™ 4. Installation and configuration 5. Basic tooling

Practical Real-time Data Processing and Analytics

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Author : Shilpi Saxena
Publisher : Packt Publishing Ltd
ISBN 13 : 1787289869
Total Pages : 354 pages
Book Rating : 4.7/5 (872 download)

Book Synopsis Practical Real-time Data Processing and Analytics by : Shilpi Saxena

Download or read book Practical Real-time Data Processing and Analytics written by Shilpi Saxena and published by Packt Publishing Ltd. This book was released on 2017-09-28 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book Learn about the various challenges in real-time data processing and use the right tools to overcome them This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn Get an introduction to the established real-time stack Understand the key integration of all the components Get a thorough understanding of the basic building blocks for real-time solution designing Garnish the search and visualization aspects for your real-time solution Get conceptually and practically acquainted with real-time analytics Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own. We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.

A History of the Book of Common Prayer and Other Books of Authority

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Author : Thomas Lathbury
Publisher :
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.:/5 (39 download)

Book Synopsis A History of the Book of Common Prayer and Other Books of Authority by : Thomas Lathbury

Download or read book A History of the Book of Common Prayer and Other Books of Authority written by Thomas Lathbury and published by . This book was released on 1859 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Beginning Apache Spark Using Azure Databricks

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Author : Robert Ilijason
Publisher : Apress
ISBN 13 : 1484257812
Total Pages : 281 pages
Book Rating : 4.4/5 (842 download)

Book Synopsis Beginning Apache Spark Using Azure Databricks by : Robert Ilijason

Download or read book Beginning Apache Spark Using Azure Databricks written by Robert Ilijason and published by Apress. This book was released on 2020-06-11 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running analytics on large clusters in Azure and AWS, using Apache Spark with Databricks on top. Discover how to squeeze the most value out of your data at a mere fraction of what classical analytics solutions cost, while at the same time getting the results you need, incrementally faster. This book explains how the confluence of these pivotal technologies gives you enormous power, and cheaply, when it comes to huge datasets. You will begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for the machinery in advance. From there you will learn how Apache Spark, an open source framework, can enable all those CPUs for data analytics use. Finally, you will see how services such as Databricks provide the power of Apache Spark, without you having to know anything about configuring hardware or software. By removing the need for expensive experts and hardware, your resources can instead be allocated to actually finding business value in the data. This book guides you through some advanced topics such as analytics in the cloud, data lakes, data ingestion, architecture, machine learning, and tools, including Apache Spark, Apache Hadoop, Apache Hive, Python, and SQL. Valuable exercises help reinforce what you have learned. What You Will Learn Discover the value of big data analytics that leverage the power of the cloudGet started with Databricks using SQL and Python in either Microsoft Azure or AWSUnderstand the underlying technology, and how the cloud and Apache Spark fit into the bigger picture See how these tools are used in the real world Run basic analytics, including machine learning, on billions of rows at a fraction of a cost or free Who This Book Is For Data engineers, data scientists, and cloud architects who want or need to run advanced analytics in the cloud. It is assumed that the reader has data experience, but perhaps minimal exposure to Apache Spark and Azure Databricks. The book is also recommended for people who want to get started in the analytics field, as it provides a strong foundation.

Practical Data Science with Hadoop and Spark

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Author : Ofer Mendelevitch
Publisher : Addison-Wesley Professional
ISBN 13 : 0134029720
Total Pages : 463 pages
Book Rating : 4.1/5 (34 download)

Book Synopsis Practical Data Science with Hadoop and Spark by : Ofer Mendelevitch

Download or read book Practical Data Science with Hadoop and Spark written by Ofer Mendelevitch and published by Addison-Wesley Professional. This book was released on 2016-12-08 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Guide to Data Science with Hadoop—For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop® and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials. The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization. Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP). This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives. Learn What data science is, how it has evolved, and how to plan a data science career How data volume, variety, and velocity shape data science use cases Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark Data importation with Hive and Spark Data quality, preprocessing, preparation, and modeling Visualization: surfacing insights from huge data sets Machine learning: classification, regression, clustering, and anomaly detection Algorithms and Hadoop tools for predictive modeling Cluster analysis and similarity functions Large-scale anomaly detection NLP: applying data science to human language

Books Out-of-print

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Author :
Publisher :
ISBN 13 :
Total Pages : 952 pages
Book Rating : 4.3/5 (91 download)

Book Synopsis Books Out-of-print by :

Download or read book Books Out-of-print written by and published by . This book was released on 1981 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Capitalist Patriarchy and the Case for Socialist Feminism

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Author : Zillah R. Eisenstein
Publisher : NYU Press
ISBN 13 : 1583678506
Total Pages : 295 pages
Book Rating : 4.5/5 (836 download)

Book Synopsis Capitalist Patriarchy and the Case for Socialist Feminism by : Zillah R. Eisenstein

Download or read book Capitalist Patriarchy and the Case for Socialist Feminism written by Zillah R. Eisenstein and published by NYU Press. This book was released on 2019-06-01 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fourteen provocative papers on the oppression of women in capitalist countries, along with three articles on the subordinate position of women in two communist countries, Cuba and China. These important, often path-breaking articles are arranged in five basic sections, the titles of which indicate the broad range of issues being considered: Introduction; motherhood, reproduction, and male supremacy; socialist feminist historical analysis; patriarchy in revolutionary society; socialist feminism in the United States. The underlying thrust of the book is toward integrating the central ideas of radical feminist thought with those pivotal for Marxist or socialist class analysis.

Microbial Products for Health, Environment and Agriculture

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Author : Pankaj Kumar Arora
Publisher : Springer Nature
ISBN 13 : 9811619476
Total Pages : 381 pages
Book Rating : 4.8/5 (116 download)

Book Synopsis Microbial Products for Health, Environment and Agriculture by : Pankaj Kumar Arora

Download or read book Microbial Products for Health, Environment and Agriculture written by Pankaj Kumar Arora and published by Springer Nature. This book was released on 2021-09-21 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume discusses the role of various microbial products in healthcare, environment and agriculture. Several microbial products are directly involved in solving major health problems, agricultural and environmental issues. In healthcare sector, microbes are used as anti-tumor compounds, antibiotics, anti-parasitic agents, enzyme inhibitors and immunosuppressive agents. Microbial products are also used to degrade xenobiotic compounds and bio-surfactants, for biodegradation process. In agriculture, microbial products are used to enhance nutrient uptake, to promote plant growth, or to control plant diseases. The book presents several such applications of microbes in the ecosystems. The chapters are contributed from across the globe and contain up-to-date information. This book is of interest to teachers, researchers, microbiologists and ecologists. Also the book serves as additional reading material for undergraduate and graduate students of agriculture, forestry, ecology, soil science, and environmental sciences.

Big Data Analytics with Spark

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Author : Mohammed Guller
Publisher : Apress
ISBN 13 : 1484209648
Total Pages : 290 pages
Book Rating : 4.4/5 (842 download)

Book Synopsis Big Data Analytics with Spark by : Mohammed Guller

Download or read book Big Data Analytics with Spark written by Mohammed Guller and published by Apress. This book was released on 2015-12-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert. Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language. There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost—possibly a big boost—to your career.

Introducing .NET 4.5

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Author : Alex Mackey
Publisher : Apress
ISBN 13 : 1430243333
Total Pages : 403 pages
Book Rating : 4.4/5 (32 download)

Book Synopsis Introducing .NET 4.5 by : Alex Mackey

Download or read book Introducing .NET 4.5 written by Alex Mackey and published by Apress. This book was released on 2012-11-27 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microsoft has introduced a large number of changes to the way that the .NET Framework operates. Familiar technologies have being altered, best practices replaced, and developer methodologies adjusted. Many developers find it hard to keep up with the pace of change across .NET's ever-widening array of technologies. The introduction of Windows 8 and its new style of applications only compounds the problem. You may know what's happening in C#, but what about the latest innovations in the cloud? How is that going to affect your work? What possibilities do the new async capabilities bring? What you need is a roadmap. A guide to help you see the innovations that matter and to give you a head start on the opportunities available in the new framework. Introducing .NET 4.5 is designed to provide you with just that roadmap. It serves as a no-nonsense primer that will help experienced .NET developers understand the impact of the new framework and the technologies that co-exist with it. This book will keep you updated on the changes and help you to seize new opportunities confidently and quickly.

Books in Print

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Author :
Publisher :
ISBN 13 :
Total Pages : 1468 pages
Book Rating : 4.3/5 (91 download)

Book Synopsis Books in Print by :

Download or read book Books in Print written by and published by . This book was released on 1981 with total page 1468 pages. Available in PDF, EPUB and Kindle. Book excerpt: