Friend is not much, intimate enough;. Information is not much, fine enough. A professional Big Data learning materials is learning the cutting edge of Big Data. Xiao Bian to share large data set of learning materials from learning syllabus, books, video tutorials are learning to share large data outline of Big Data learning materials
Stage one, Java language foundation
Java developers introduced, the familiar Eclipse development tools, Java language foundation, process control Java, Java strings, arrays and Java classes and objects, classes and digital processing core technology, I / O and reflection, multi-threading, Swing programs and collections
Phase II, HTML, CSS and Java
PC terminal site layout, HTML5 + CSS3 basis, WebApp page layout, native Java interactive feature development, Ajax asynchronous interaction, jQuery applications
In the process of getting started big data have met learning, industry, the lack of systematic learning path, learning systems planning, you are welcome to join my big learning data exchange skirt: 251 956 502, skirt documents have my years of study manual sorting of large data , development tools, PDF document with a book, you can download yourself.
Phase III, JavaWeb and databases
Database, JavaWeb development of core, JavaWeb development insider
Phase IV, Linux & Hadoopt system
Linux system, Hadoop offline computing outline, distributed database Hbase, data warehouse Hive, data migration tool Sqoop, Flume distributed logging framework
Stage 5, the actual (real front-line company project)
Data acquisition, data processing, data analysis, data presentation, data applications
Stage six, Spark ecosystem
Python programming language, Scala programming language, Spark big data processing, Spark-Streaming Big Data processing, Spark-Mlib machine learning, Spark-GraphX map calculation, real one: Spark recommendation system (a line of company real project) based combat two : Sina (www.sina.com.cn)
Stage seven, Storm ecosystem
storm technology architecture system, Storm and basic principles, message queues kafka, Redis tools, zookeeper Detailed, real one: Log warning system project, combat two: you may also like recommendation system combat
Phase Eight, big data analytics -AI (Artificial Intelligence)
Data Analyze & prepare the work environment data base analysis, data visualization, Python Machine Learning
Outdoor equipment identification analysis: 1, 2, & neural network image recognition, natural language processing & social network processing, machine learning Python actual project
Big Data learning materials of learning books
1, "data born"
Book data are set forth in the large 1.0, 2.0 and large data 3.0 times large data, corresponding to the data analysis required to do the analysis, externalization, integration.
2, the "smart age"
The book of seven chapters are introduced on large data from different angles, respectively, to change the way of thinking and the main line technology, embedded industrial revolution from this perspective, the logical extension of a big data and intelligent, but not too much ink will get to the bottom on the technology, choosing instead to embody the concept of big data from the application level. *** Big Data applications will all walks of life, this is the place of the author's intentions.
3, "R language predict actual"
R language across the fields of finance, biology, medicine, Internet, mainly for statistical, modeling and visualization. Due to quick, efficient, highly technical personnel favor. Forecasting is one of the main role of big data mining, with the R language to do large data forecast to be both efficient and value-in-one.
3, "Data summit"
This book, from small data era to the rise of big data, the author's grand history, and culture, big data concept, giving us a picture data science, wisdom and cultural panorama.
4, "Hadoop The Definitive Guide"
"Hadoop The Definitive Guide (Chinese version)" From the Hadoop origin, Deep combination of theory and practice, comprehensive introduction to Hadoop the ideal tool for high-performance processing of massive data sets.
5, "Hive Programming Guide"
"Hive Programming Guide" is a Programming Guide Apache Hive and Hive aims to introduce how to use the SQL method HiveQL to summarize, query and analyze big data stored on the Hadoop Distributed File System collection.
There are white point for learning should be noted that a lot of big data, but in any case, since you have chosen to enter the Big Data industry, it will only struggle and hardships. Not forgetting the so-called beginner's mind, was always square, big data or learning a persistent heart you need it most.