Field Guide to Hadoop: An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies 1st Edition, Kindle Edition

Managers trying to ramp up quickly would find the book very useful. Provides high level introductions and avoids low level implementation details.

Although the book is thin, it combines all important-to-know Hadoop related components under the same cover. Good to have on a bookshelf for a quick reference.

Not too long or short can use more description for some topics for the price not bad as there is not much material but could use some more insights for those novice in the field

Hi,I have written a detailed chapter-by-chapter review of this book on www DOT i-programmer DOT info, the first and last parts of this review are given here. For my review of all chapters, search i-programmer DOT info for STIRK together with the book's title.This slim book sets out to provide an up-to-date overview of Hadoop and its various components, which seems a worthwhile aim.Hadoop is the most common platform for storing and analysing big data. This book aims to be a short introduction to Hadoop and its various components. The authors compare this to a field guide for birds or trees, so it is broad in scope and shallow in depth. Each chapter briefly covers an area of Hadoop technology, and outlines the major players. The book is not a tutorial, but a high-level overview, consisting of 132 pages in 8 chapters.For each component, details are listed for:* License – much is open source but there may be some conditions* Activity – how much development work is being done on the product* Purpose – what the technology does Official Page – home page of the technology* Hadoop Integration – the technology’s level of integration with HadoopBelow is a chapter-by-chapter exploration of the topics covered.Chapter 1 Core TechnologiesThe chapter opens with a bit of history. The origins of Hadoop can be traced back to a project called Nutch, which stored large amounts of data, together with 2 seminal papers from Google – one relating to the Google File System, and the other about a distributed programming model called MapReduce. The ideas in the papers were incorporated into the Nutch project, and Hadoop was born. Yahoo! began using Hadoop for its search engine, and now Hadoop is the premier platform for processing big data.Hadoop consists of 3 primary resources:* Hadoop Distributed File System (HDFS) – where you store data. This is optimized for high performance, is read-intensive, and provides resilience by holding multiple copies of the data on different machines. A large block size optimizes data movement.* MapReduce – involves 2 components: mappers that analyze chunks of data, and reducers which aggregate the results of the mappers.* Hadoop’s tools – other components, as described in this bookThis was an interesting chapter, laying the groundwork for the rest of the book, identifying what Hadoop is, its major components, and how they work. Helpful links to tutorial information are provided, together with outline code examples (as they are throughout the book).Perhaps some emphasis could have been given to describing the attributes of big data (i.e. volume, velocity and variety) that require a system like Hadoop to process it. I’m not sure why Spark was included in this core section....ConclusionThis book is very broad in scope, and by necessity (since it’s a field guide), shallow in depth. It provides up-to-date but limited detail on the major components of the Hadoop big data system. Helpful links are provided for further information.The book is mostly easy to read, with a consistent layout of content (i.e. License, Activity, Purpose, Official Page, Hadoop Integration, description, tutorial link, and simple example code). Useful comparisons between tools are occasionally provided.This book should prove helpful to managers, developers, and architects, which are new to big data and want a quick overview of the major components of Hadoop.Most Hadoop books discuss some of the components listed here, but this book contains a much wider range of components than other books. That said, there are omissions, including:* Hue - a popular web-based tool providing centralised access to many underlying Hadoop tools (e.g. Sqoop, Hive, Pig, Oozie, HBase, ZooKeeper, Impala, HDFS etc)* Impala – a fast parallel processing SQL query engine for HadoopThe authors intend to update this book regularly (every year or two), which is ideal if you want to know about the current popular components, and especially good if you have access to safari online (but bad if you need to keep buying the updated book).Where should you go next after reading this book? I would suggest gaining some detail by reading Big Data Made Easy, which I recently reviewed.If you’re new to big data and Hadoop, and you want to quickly review what it is, and the current state of its major components, I highly recommend this small book.

Big data is over-hyped topic and Hadoop is tightly coupled with Big Data. Hadoop ecosystem is composed of many components and many of these components need good knowledge of programming (in Java or python or SQL or Scala). There are a few good books about most components. But there is no book that gives a thirty thousand feet overview of many components in Hadoop ecosystem in short and approachable way.As it clearly mentioned in its preface, this book is a short but useful introduction to most components of Hadoop ecosystem. It is useful for programmers, data scientists and managers new to Hadoop world.The book explains many of most important components of the Hadoop ecosystem in about 100 pages. I recommend this book to new comers to Hadoop world. There are some sample code inside the book, but I don’t think that authors expect the readers to use those code snippets. However, code samples give readers a feeling of model of coding for most of components.Managers who want to know technical details briefly benefit a lot from this book. It is important to know that Hadoop is open source but in order to use Hadoop in production environments most (read all) organizations need commercial support; that is why using open source software doesn't prevent vendor lock in!I was surprised that authors didn't include some important components like Impala but covered HIPI and SpatialHadoop!! In addition it is a good idea to provide details about Hadoop distributions and cloud-based deployment. In summary authors did a great job!

When first entering the world of Hadoop, one is overwhelmed with a completely new vocabulary of services, technologies and topics. This book provides a great dictionary or encyclopedia of all the technologies involved. This is a great overview of the Hadoop ecosystem and perfect for beginners.

This book is priced way too high for what amounts to the author googling "List of software topics associated with Hadoop" for you. As is, it should be <$10. For $40 I am expecting way more content, give me some ideas of how each technology is used to meet different types of business needs, give a better description of your example code like what does each command do. I'd give it a higher rating if it had a reasonable price.

Whether you are familiar or not with Hadoop, you will learn nothing. In one case, you already know (hopefully more than) what is presented in that book, or you won't understand anything since it doesn't even explain the basics.The book involves many excuses such that :"Although an explanation is beyond the scope of this book ...""Writing Mapreduce can be fairly complicated and is beyond the scope of this book""The truth is that writing applications in YARN is still very involved and too deep for this book...""Good example code is a bit long and complex to include here but ..."Anyway .. in the end you wonder if the authors themselves know what they are talking about.Check out wikipedia's page of the technologies touched on by this book, you'll save money (I can't believe I spent 36$ on this) and time.

short but gives a good overview of the hadoop ecosystem.

As expected from Amazon very very late delivery. Ordered book on 18th Dec and still on 30th Dec I have not received this book. God knows when will I be getting this book.

Dieses Buch bringt keine Informationen, keine Erklärung zu Hadoop.Sehr schwach, ist nicht mal 1 Euro wert.Bin sehr sehr entauscht.

Good introduction to the subject.