Big Data ruthenpress.info Trademarks: Wiley, the Wiley logo, For Dummies, the Dummies Man logo, A Reference for the Rest of Us!,. The Dummies Way . solutions for big data, real-time analytics, social intelligence, and community. Compre o livro Big Data for Dummies na ruthenpress.info: confira as ofertas para Big Data For Dummies (English Edition) e mais milhares de eBooks estão. Download this free eBook to learn how to find the right big data solution for your business or organization. Big Data for Dummies cuts through.
|Language:||English, Spanish, Indonesian|
|Genre:||Academic & Education|
|Distribution:||Free* [*Register to download]|
Book for big data information. Book for big data information. Identifier BigDataForDummies. Identifier-arkark://t56f1t OcrABBYY. Editorial Reviews. From the Back Cover. Learn to: Leverage big data tools and architectures Kindle Store · Kindle eBooks · Computers & Technology. Ethics of Big Data Publication: O'Reilly Media Author: Kord Davis, Doug Patterson Pages: Download Big Data For Dummies Publication.
Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Getting Started with Big Data Chapter 1: Grasping the Fundamentals of Big Data Chapter 2: Examining Big Data Types Chapter 3: Old Meets New: Distributed Computing Part II: Technology Foundations for Big Data Chapter 4: Big Data Management Chapter 7: Operational Databases Chapter 8: MapReduce Fundamentals Chapter 9: Exploring the World of Hadoop Chapter The Hadoop Foundation and Ecosystem Chapter Analytics and Big Data Chapter Defining Big Data Analytics Chapter Big Data Implementation Chapter Integrating Data Sources Chapter Operationalizing Big Data Chapter Machine generated might be weather data or sensor data from an aircraft where as human data might be something a person said about your product on facebook or search information on a your website.
The biggest problem isn't storing all this information but accessing relavant data hidden amongst it and doing something with the data. At one time companies used databases that had to be written specifically for what they wanted to do.
These could be adapted using languages like SQL to do lots of things. Now we are going into another era where most information will be stored either on a hybrid cloud or cloud provider.
Companies will have virtual servers where 1 or 2 servers will have to do the job of several servers and their massive hard drives will be partitioned to run several server roles possibly with several operating systems. When people go on the internet the computer will be a virtualized workstation with limited permissions to limit the damage a virus can do. Companies will use big data organisations site Web Services to store huge amounts of data but at a fraction of the cost an equivalent server would cost.
You have to shop around for what is best for your requirements. site Web Services are regarded as one of the cheapest and best and are the biggest cloud provider in the world.
Of course the hardest part is integrating everything so it works. There are some packages and services which are specific to a particular type of business like SPSS for Psychology Statistics.
I thoroughly enjoyed reading this book which is on a very interesting subject which as time goes on is going to get more and more important to businesses and organisations.
Dec 05, Fahim rated it it was amazing. What do you need to do when you accumulate a petabyte of data is a question that can be easily answered by this book. Big Data is an easy and interesting read for data lovers. This book starts with the basics of big data and walks you step by step in order to give you a clear understanding of how to handle big data, what technology you should adopt and what advantages can big data bring to your business.
This book also provides some clear and up-to-date examples of big data use in the real world What do you need to do when you accumulate a petabyte of data is a question that can be easily answered by this book. This book also provides some clear and up-to-date examples of big data use in the real world.
If you are a novice to big data or somebody who is looking for a source to start learning about this science, you had better try this book. The contents are easy to read and understandable, yet some chapters of the book get technical which is still fun because you will become familiar with new tools and technologies about big data, so it won't hurt to re-read a sentence and take some seconds to soak the contents in the brain. Gain the knowledge, develop the skill and make your world big with big data!
Sep 27, Bill Diamond rated it really liked it.
Slowly reading this on my ipad. Good writing style with illustrations. This is generic to Apache Hadoop. While a "for dummies" series title, it still requires a fair amount of knowledge of enterprise database, network, and systems architecture. Used in combination with IBM's free bigdatauniversity. Mar 09, Arwa hawwa rated it it was ok Shelves: Aug 21, Johan rated it did not like it Shelves: I am done with this book, but I haven't finished it.
I usually like the "For Dummies"-books. You can read about a topic without prior knowledge, without having studied the topic or without experiences. The authors of those books assume no prior knowledge You quickly go to a level where you can talk with others about it. If you like the subject, you can go and read some more advanced books or enroll in an online class. If not, then at least you know what it is about. I recently started reading tw I am done with this book, but I haven't finished it.
I had to stop both of them because they expect a lot of prior knowledge: It was useless trying to continue. I stopped, maybe one day I will pick them up again, but only after I have brushed up my math, statistics and programming skills and maybe have read some entry-level or dummy books about machine learning, Both books may contain a lot of information, but they are no dummy-books.
Unless, for the data science book, you consider someone with a bachelor's, master's or PhD in computer sciences or math, but without knowledge of data science a dummy. In case of the big data book, there is just too much jargon. May 23, Debbie rated it liked it. Very dry. I struggled to engage with this. I have read other big data books that have taken my interest more than this one.
Jan 15, Ankit Dewan rated it really liked it. The book is a clear and mostly non technical rendezvous of the world of hadoop , Map Reduce and the Big Data ecosystems. Totally loved reading this book. Jul 16, Mav Huang rated it did not like it. This is a book not for people with no knowledge if big data, but for real dummies. I suppose it was a decent introduction but too detailed on the database stuff and not enough on the analytics. Text intensive. It would be much much better work it were more visual rich, rather than text overloaded.
The "for dummies" is a misleading part of the title, the underlying big data technologies are far from being simplistic and easy to grasp. Other than that, the book is a great overview of the field, and a good big data myth breaker. As it usually the case with IT, the ideas covered are logical evolution of the digital world. Jan 29, Dan Pfeiffer rated it liked it.
I recommend this book for anyone who is working in or around Big Data in their company or business and need a referential starting point to the topic. Some of the industry examples of analytics were limited and the book could have benefited from more specific case study examples rather than generalizations. Apr 07, Rachel Bayles rated it liked it Shelves: Well-written, a bit repetitive, and as should be expected no technical detail.
Good introduction, but it's more accurate to say this is a book about how big data is used. Anyone who has even a basic grasp of the topic will not learn anything new. Jul 29, David rated it really liked it. Good overview of Big Data's technical aspect. Readable even for data novices like myself. Seems to work well with the social media books I have been reading.
Need figure out what to read next - guessing around marketing analytic. Oct 31, Rajnish Kumar rated it really liked it Shelves: