With the development of Internet + and artificial intelligence, big data market more and more fiery, big data analytics talent more and more scarce, and now big data analytics market has been rapid penetration into each line of business, so what is the big data technology just to be? What technology has great potential value?
According to the index released by Forrester Research, here are the ten hottest Big Data technologies:
Predictive analysis: With the mature hardware and software solutions now, many companies use big data technology to collect vast amounts of data, training model, optimization model, and publish predictive model to improve the professional level or avoid the risk;
NoSQL databases: non-relational database including Key-value type (the Redis) database, document type (MonogoDB) databases, pattern (Neo4j) database;
Search and knowledge discovery: Supports automatic information extraction, data from multiple data sources can insight into structured data and unstructured;
Flow analysis: software for real-time cleaning of the plurality of high throughput data source, aggregation and analysis;
Memory data structure: a dynamic random access memory (DRAM), and Flash SSD via a distributed storage system, low latency access mass data and processing;
Distributed Storage System: distributed storage means is greater than a storage node, data storage and multiple copies of high performance computing network;
Data Visualization: Visualization data refers to all types of display data sources (including the massive data and real-time and near real-time Hadoop distributed data);
Data Integration: Hive, Pig, Spark, MapReduce, Couchbase, Hadoop and MongoDB software integration service data through the Amazon Elastic MR (EMR),;
Data pre-processing: Data Integration refers to the data source is cleaned, cut, and share diverse data to speed up data analysis;
Data Check: massive, high-frequency data sets on a distributed storage system and database data validation, data illegal removal, deletion completion.
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