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Goodbye, shucang. Alibaba's data Lake construction strategy is really awesome!

2022-07-02 17:17:00 【Java collection】

With the acceleration of information process , The traditional data warehouse can not meet the needs of massive data storage and analysis , The world has suffered from data warehouse for a long time ！

Only structured data can be stored , Unable to collect and store unstructured data
Unable to store raw data , All data must be subject to ETL Clean and filter
The data sheet of the offline warehouse will affect the whole body , The amount of data adjustment is large
The storage space of real-time data warehouse is limited , Unable to collect and store massive real-time data
Inefficient backtracking , It is difficult to unify the real-time data and offline data computing interfaces

As the next outlet of big data transformation , Data lake can perfectly solve the major pain points of traditional data warehouse .

01

A new future within reach ： Data Lake

Data lake is to help enterprises realize Full data A centralized repository of single storage , No pretreatment is required , Can be stored Any size 、 Any type 、 Demand data of various speeds , Include structured 、 Semi structured And audio and video 、 picture 、 Text etc. Unstructured data .

and , Data storage Original format Object block or file , Guarantee the data “ original ”, More comprehensive grasp of enterprises 、 Analyze and apply data , Create greater data value and provide important basic support .

Data Lake concept Support various analysis methods , You can run from the control panel 、 visualization 、 Big data processing 、 From real-time analysis to machine learning .

It is different from the traditional way of building table model of data warehouse , The data lake is based on Read type Schema, use read Time mode , Be able to create tables flexibly according to business needs , Greatly improved Agility and accuracy .

Enterprises that use traditional warehouse , Each department has its own data . Data Lake To break the “ data silos ” Occlusion of , Allow multiple functional roles —— Data scientist 、 Data developers and business analysts Access data through their respective analysis tools and frameworks , and No need to move data , Greatly saves defining data structures 、Schema And the time of conversion . This not only makes Cross domain 、 Cross platform 、 Cross media data analysis is easy to implement ,“ Time travel ” Of Backtracking function The blessing data lake can provide information more quickly Full volume and full life cycle data analysis results and Data prediction and analysis services , Flexible and efficient support for the formulation of various enterprise decisions , Truly help enterprises achieve cost reduction and efficiency increase , Realize the transformation and development of digital intelligence .

Through data Lake technology, we can achieve “ agile ” The earth Unified storage and Unified analysis , It can solve the pain point problem of big data to the greatest extent .

Once the data Lake comes out , Head cloud technology vendors have launched solutions , It is favored by big factories ：NEIFLIX、 Ali 、 tencent 、 Bytes to beat 、 Apple 、 Shun Feng 、AWS、 Well quickly 、 Multipoint And many other enterprises scramble to deploy and use data Lake technology .

according to Aberdeen A survey of , Organizations that implement data Lake technology have achieved more organic revenue growth than similar companies Higher than 9%, The commercial value of data analysis is fully demonstrated .

What kind of advanced concept is data lake ？ Specific to the implementation , How to build an enterprise's data Lake ？ What data Lake Technology frameworks are available ？ How to help big data midrange upgrade ？ How can the data lake be better integrated with the existing technology ？

In order to help the majority of R & D engineers 、 Architects 、 Data analysts grasp the future development trend , Embrace the new opportunities of data Lake , Upgrade the dimension of technological cognition , Enhance core competitiveness , from front 58 Sun Xuan, chairman of the technical committee combination 10 Many years of experience in large front-line factories , To build the 《 Data Lake ： The next big data revolution 》 Market exclusive The high-quality goods On-line Column class The class is about to start , A course , Three days （2 month 14 Japan —2 month 16 Japan 20:00-22:00） Take you through the cutting-edge high-tech of the data Lake quickly , Maximize the practical value of the data Lake , Effectively play with the data Lake framework and analysis system , Realize the skill leap to senior R & D Engineer .

The original price ¥499, Time limit ¥0.01 Learn now ！

2 month 14 Japan —2 month 16 Japan

20:00—22:00

3 Days time

A famous teacher will take you

Thorough data Lake Technology

At the same time, I get it for free

【10 Set of private dry goods video collection 】

and 【 Ali 、 I have to ask an interview question 】

Remember to add a teaching assistant to receive

only front 50 people It works , First come first served basis ！

Special reminder ： One time registration , Interactive Q & A throughout the course . And you can get a free study 《 The era of data analysis ： You must master user analysis skills 》 Course , Master the user structure 6 Big attributes 、 User behavior and user value analysis 、Python Data cleaning and format conversion 、Python Practical methods of exploratory data analysis .

Sign up to receive value 99 element Of 12 This programmer must read . database 、Hadoop、Docker、Hive、Hbase、ZooKeeper、 Cloud computing And other skills are available , Help you on the basis of mastering data Lake Technology , Learn more skills and knowledge , And then realize the comprehensive advancement of capability ！

02

Why do I recommend you to take this course

Meeting business needs is the driving force of technological innovation , Technological changes also provide basic support for business upgrading and development .

7 At the beginning of , The state starts from building China's modern industrial system 、 From the perspective of manufacturing system and computing support system, we have made a comprehensive deployment in the next ten years , A new round of digital intelligence transformation will “ Based on data , Business as the core , Rely on production 、 circulation 、 Transaction and other scenario carriers , Comprehensive application of new generation information technology such as artificial intelligence , Comprehensively improve the intelligent operation level and digital innovation ability of enterprises , And comprehensive 、 Improve the user experience in real time ”.

Global deployment of hybrid cloud computing platform 、 Real time analysis and visualization of global and global data and Intelligent assistant decision-making of the whole chain and the whole business It will become the leading paradigm and reference path for many enterprises to carry out a new round of digital intelligence transformation .

Master data Lake technology Advantage characteristics 、 Read and Underlying principle 、 Study The overall architecture 、 understand Core source code , Both can expand their ability boundary , Greatly improve the technical level , It can also embrace the new outlet of big data , Take advantage of the situation , Achieve a new level of career development .

Today, , The majority of technical people are still in the stage of half understanding of data Lake Technology ,“ He who knows it knows not why ”. Seize the opportunity , Seize the opportunity , Follow the famous teacher , Learn to build their own data Lake technology ！

《 Data Lake ： The next big data revolution 》 This course First depth Use the concept of data lake to integrate big data technology , depth reveal Of data Lake technology Overall architecture system 、 Core technology design and The mechanism of running the whole process , Comprehensive analysis Application practice of enterprise real landing data lake , Take you All round depth Data Lake Technology .

This course includes 3 Big chapter ,14 A module , Big coffee gold medal lecturer pure dry goods explanation , Interpretation of actual combat , Teach you to play with data Lake Technology .

03

Take you to play with data Lake Technology

04

Who is suitable to learn ？

IT There are endless fields of Technology , Update your combat equipment in time , To improve quality and efficiency , Escort your career development .

If you are a ：

· Java R & D Engineer

· Big data R & D Engineer

· Big data operation and Maintenance Engineer

· Data Warehouse Engineer

· Back end Development Engineer

（Java/Go/C++/PHP/Python And so on

· Architects （ big data / Cloud native / platform / System / Business direction ）

· Distributed System Development Engineer

· DBA/ Transformation of big data development in the direction of operation and maintenance

· Architects 、 Platform architect 、 system architect

......

So the cutting-edge exclusive boutique course of data lake is for you Tailor made Of ！

05

You will reap

• Master the concept of data Lake , Deep understanding of data Lake technology ;

• Learn how to apply data Lake Technology to enterprises , Solve the pain point problem of enterprise data warehouse and big data platform ;

• Learn to combine the technical characteristics of various data lakes to build an enterprise's own data Lake analysis system , Reduce cost and increase efficiency .

Big data people “ Will know ” Of Data Lake Technology