Big data is a series of processing methods for massive data storage, calculation, statistics, analysis, etc. The amount of data processed is terabyte-level, or even PB or EB-level data, which cannot be completed by traditional data processing methods. Big data involves distributed data. Computing, high-concurrency processing, high-availability processing, clustering, real-time computing, etc., bring together the most popular and popular IT technologies in IT. Big data is the infrastructure for cutting-edge fields such as machine learning, deep learning, and AI.
Big data technology provides a basis for decision-making, plays an important role in government, enterprise, scientific research projects and other decision-making, and plays a role that cannot be ignored in social governance and enterprise management. Data is included in the national development strategy, and large companies such as Microsoft, Google, Baidu and Amazon have also listed big data technology as a key bargaining chip for future development.
So, what are the commonly used big data technologies?
Phase 1 JavaSE + MySql + Linux
Java Foundation → OOP Programming → Java Collection → IO/NIO → Eclipse → Intellij IDEA → Socket Network Technology → Mysql Database → JDBC Api → JVM Memory Structure → Phase Project Actual Combat → Linux (VMware, CentOS, Directory Structure, Linux Commands)
Phase 2 Hadoop and the Ecosystem
Hadoop → MapReduce → Hive → Avro and Protobuf → Zookeeper → HBase → phoenix → Redis → Flume Distributed → SSM (Spring, SpringMVC, Mybatis) → Kafka Architecture
The third phase of Storm and Spark and their ecosystem
Scala → Spark Job → Spark RDD → spark job deployment and resource allocation → Spark shuffle → Spark SQL → Spark Streaming → Spark ML → azkaban
Stage 4 Others
Python and data analysis
The fifth stage of project actual combat and comprehensive application of technology
The technologies that need to be mastered in the actual stage of big data business include: practical operation of enterprise big data processing business scenarios, analysis of requirements, solution implementation, and comprehensive technical practical application.
On the premise of having the foundation of the Java programming language, you can learn the above big data technologies. Big data is the future development direction, which is challenging our analytical ability and the way of cognition of the world. Therefore, we keep pace with the times and meet changes. And continuous growth, mastering the core technology of big data is to master the real value.