Programming Hive
MapReduce Design Patterns
Hadoop Operations
Hadoop in Practice
Ethics of Big Data
Big Data Now: 2012 Edition
Securing Hadoop
Learning SPARQL, 2nd Edition
Hadoop: Beginner’s Guide
Hadoop MapReduce Cookbook
Disruptive Possibilities
Big Data Imperatives
Apache Sqoop Cookbook
Agile Data Science
Using Flume
# | عنوان | نوع فایل | سایز فایل | بازدید | دانلود | امتیاز | قیمت (تومان) |
---|---|---|---|---|---|---|---|
1 |
Big Data Glossary
|
4.71 MB | 63 | 0 |
رایگان
|
||
2 |
Programming Hive
|
3.85 MB | 81 | 1 |
رایگان
|
||
3 |
MapReduce Design Patterns
|
5.46 MB | 63 | 0 |
رایگان
|
||
4 |
Hadoop: The Definitive Guide, 3rd Edition
|
115.26 KB | 66 | 0 |
رایگان
|
||
5 |
Hadoop Operations
|
3.50 MB | 73 | 0 |
رایگان
|
||
6 |
Hadoop in Practice
|
6.38 MB | 62 | 0 |
رایگان
|
||
7 |
Ethics of Big Data
|
2.81 MB | 64 | 0 |
رایگان
|
||
8 |
Big Data Now: 2012 Edition
|
4.23 MB | 70 | 0 |
رایگان
|
||
9 |
Securing Hadoop
|
4.05 MB | 70 | 0 |
رایگان
|
||
10 |
Scaling Big Data with Hadoop and Solr
|
2.53 MB | 69 | 0 |
رایگان
|
||
11 |
Professional Hadoop Solutions
|
8.17 MB | 61 | 0 |
رایگان
|
||
12 |
Learning SPARQL, 2nd Edition
|
15.28 MB | 58 | 0 |
رایگان
|
||
13 |
Hadoop: Beginner’s Guide
|
5.22 MB | 60 | 0 |
رایگان
|
||
14 |
Hadoop Real-World Solutions Cookbook
|
2.79 MB | 69 | 0 |
رایگان
|
||
15 |
Hadoop MapReduce Cookbook
|
4.36 MB | 59 | 0 |
رایگان
|
||
16 |
Getting Started with Amazon Redshift
|
2.41 MB | 66 | 0 |
رایگان
|
||
17 |
Fast Data Processing with Spark
|
9.72 MB | 70 | 0 |
رایگان
|
||
18 |
Enterprise Data Workflows with Cascading
|
6.17 MB | 68 | 1 |
رایگان
|
||
19 |
Disruptive Possibilities
|
2.12 MB | 58 | 0 |
رایگان
|
||
20 |
Big Data Imperatives
|
8.63 MB | 67 | 0 |
رایگان
|
||
21 |
Big Data Application Architecture Q&A
|
4.74 MB | 72 | 0 |
رایگان
|
||
22 |
Apache Sqoop Cookbook
|
2.38 MB | 69 | 0 |
رایگان
|
||
23 |
Apache Accumulo for Developers
|
4.87 MB | 77 | 0 |
رایگان
|
||
24 |
Agile Data Science
|
11.54 MB | 63 | 1 |
رایگان
|
||
25 |
Using Flume
|
3.79 MB | 71 | 0 |
رایگان
|
Big Data Glossary
To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and Ma ...
Programming Hive
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructu ...
MapReduce Design Patterns
Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings to ...
Hadoop: The Definitive Guide, 3 ...
With this digital Early Release edition of Hadoop: The Definitive Guide, you get the entire book bundle in its earliest form – the author’s raw and un ...
Hadoop Operations
If you’ve been asked to maintain large and complex Hadoop clusters, this book is a must. Demand for operations-specific material has skyrocketed now t ...
Hadoop in Practice
Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practica ...
Ethics of Big Data
What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised ...
Big Data Now: 2012 Edition
The Big Data Now anthology is relevant to anyone who creates, collects or relies upon data. It’s not just a technical book or just a business guide. D ...
Securing Hadoop
Security of Big Data is one of the biggest concerns for enterprises today. How do we protect the sensitive information in a Hadoop ecosystem? How can ...
Scaling Big Data with Hadoop an ...
As data grows exponentially day-by-day, extracting information becomes a tedious activity in itself. Technologies like Hadoop are trying to address so ...
Professional Hadoop Solutions
Today’s enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world ...
Learning SPARQL, 2nd Edition
Gain hands-on experience with SPARQL, the RDF query language that’s bringing new possibilities to semantic web, linked data, and big data projects. Th ...
Hadoop: Beginner’s Guide
Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame ...
Hadoop Real-World Solutions Coo ...
Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide vari ...
Hadoop MapReduce Cookbook
Learn to process large and complex data sets, starting simply, then diving in deep. Solve complex big data problems such as classifications, finding r ...
Getting Started with Amazon Red ...
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service. It provides an excellent approach to analyzing all your data using yo ...
Fast Data Processing with Spark
Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach ...
Enterprise Data Workflows with ...
There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework ...
Disruptive Possibilities
In Disruptive Possibilities: How Big Data Changes Everything, Jeffrey Needham enlightens Fortune 500 enterprises about the Big Data ecosystem as they ...
Big Data Imperatives
Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usa ...
Big Data Application Architectu ...
Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics t ...
Apache Sqoop Cookbook
Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook p ...
Apache Accumulo for Developers
Accumulo is a sorted and distributed key/value store designed to handle large amounts of data. Being highly robust and scalable, its performance makes ...
Agile Data Science
Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll l ...
Using Flume
How can you get your data from frontend servers to Hadoop in near real time? With this complete reference guide, you’ll learn Flume’s rich set of feat ...