Shulou(Shulou.com)06/03 Report--

Big data development major needs to learn three parts, namely, big data basic knowledge, big data platform knowledge, big data scene knowledge.

Basic knowledge of big data:

There are three main parts, namely, mathematics, statistics and computer science. Big data's basic knowledge often determines the height of developers' growth in the future, so we should pay attention to the learning of basic knowledge.

Big data platform knowledge:

Is the basis of big data development, during the study period, often to build Hadoop, Spark platform, on the one hand, Hadoop machine hardware requirements are not high, on the other hand, the use of Hadoop is also very common, many commercial big data platforms are based on Hadoop. The core of big data is data value.

Big data's knowledge of scene:

Is an important application of big data, these scenarios include many areas, such as financial big data, traffic big data, education big data, catering big data and so on. Behind the application of these scenes, we also need to have some understanding of the industry knowledge.

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Big data's development and learning

Big data's development and learning is difficult to some extent. To get started with zero foundation, you should first learn Java language to lay a foundation, and then enter big data's technical system, mainly studying Hadoop, Spark, Storm and so on.

Big data needs to learn:

Language Java, Scala, etc.

Distributed computing Spark,MapReduce, etc.

Distributed storage Hbase,MongoDB, etc.

Distributed scheduling and management Yarn, Zookeeper, etc.

Big data platform refers to a set of infrastructure that mainly deals with massive data storage, computing and real-time computing of uninterrupted data, which typically includes Hadoop series, Spark, Storm, Flink and Flume/Kafka clusters. Camigu big data provides corresponding big data technical support services. You can use either an open source platform or commercial solutions such as Huawei or Star Ring, which can be deployed on either private or public clouds.

Big data's business application mainly includes the following aspects:

1. Customer management

Fully mining and analyzing the basic information of each dimension of the customer and the current / historical behavior records, depict the user profile, and realize the customer clustering.

2. Precision marketing

On the basis of establishing user portraits, we can recommend marketing-targeted products or offers to specific customers, enhance the ability to get customers, and consolidate customer relationships.

3. Risk identification

The construction of anomaly detection and risk identification models can effectively identify anomalies and risks in the process of customer management, product development and sales, so as to make targeted disposal and prevent problems.

4. Operation optimization

Big data can help optimize channels and institutions, release negative public opinion in advance, and protect the company's brand image.

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