Spark to enterprise-level combat

Author@ Path to the algorithm stack

Red bean born south, spring to hair a few branches. May you gather more, this is the most acacia.

This course is suitable for students who have some programming background and are interested in algorithmic big data.

Tutorial directory

Introduction to Big Data and SparkCopy the code

Spark Environment Setup (Based on Scala)Copy the code

In-depth analysis of the Spark principleCopy the code

Industrial usage analysis of RDD and Spark common operatorsCopy the code

Submit Spark tasks and output resultsCopy the code

```
Spark SQL 
Copy the code
```

Introduction and application of Spark StreamingCopy the code

Introduction and application of Spark MLlibCopy the code

Monitor Spark distributed program runningCopy the code

```
Spark optimization methodCopy the code
```

Spark data skew and solutionsCopy the code

```
Advanced use of SparkCopy the code
```
```
Spark routine problemsCopy the code
```

instructions

With the advent of the era of big data, which has brought great changes to everyone’s life, “big data” has become a popular word in the Internet industry.

With the production of a large amount of data (logs, emails, videos, audio, links, etc.), the storage, computing, data analysis, result presentation and other links related to big data are facing huge challenges under the traditional technical architecture. The development of big data technology is fast, and new technologies are constantly emerging. Currently, the main technologies used in the industry include Hadoop, Spark, Flink, etc…

conclusion

This is the first article I updated after I opened the official account, I plan to open a series of study notes, I feel a little excited, or a little pressure, I hope I can keep it up ~~~ form the habit of taking study notes, I may have to keep writing in the future, ha ha ha!!

Welcome to follow my public number: algorithm full stack road

Spark to enterprise-level combat