当前位置:网站首页>Goodbye, shucang. Alibaba's data Lake construction strategy is really awesome!
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
The original price ¥499, Time limit ¥0.01 Learn now !
2 month 14 Japan —2 month 16 Japan
20:00—22:00

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 benefits : Students who buy Naixue education courses , Can participate in hunting recruitment VIP Talent pool project , Large factory push 、 Resume optimization 、 Daniel, the on-site guidance of the interview team , Help you win your heart Offer! Choose the right platform , Be the best choice for life !


Click on “ Read the original ”, Understand the content of advanced big data course of Naixue Education
边栏推荐
- IP地址转换地址段
- [shutter] dart data type (dynamic data type)
- ThreadLocal
- In MySQL and Oracle, the boundary and range of between and precautions when querying the date
- The poor family once again gave birth to a noble son: Jiangxi poor county got the provincial number one, what did you do right?
- 【Leetcode】13. 罗马数字转整数
- Sword finger offer 27 Image of binary tree
- 体验居家办公完成项目有感 | 社区征文
- The impact of telecommuting on all aspects of our experience | community essay solicitation
- Method of C language self defining function
猜你喜欢

Configure MySQL under Linux to authorize a user to access remotely, which is not restricted by IP

AP and F107 data sources and processing

PhD battle-11 preview | review and prospect backdoor attack and defense of neural network

剑指 Offer 24. 反转链表

Xiaopeng P7 had an accident on rainy days, and the airbag did not pop up. Official response: the impact strength did not meet the ejection requirements

How openharmony starts FA of remote devices

智能垃圾桶(五)——点亮OLED

13、Darknet YOLO3

Executive engine module of high performance data warehouse practice based on Impala

使用知行之桥的API端口,提供资源供合作伙伴访问
随机推荐
移动应用性能工具探索之路
Seven charts, learn to do valuable business analysis
How to quickly distinguish controlled components from uncontrolled components?
【Leetcode】14. Longest Common Prefix
【Leetcode】14. 最长公共前缀
博客主题 “Text“ 夏日清新特别版
Fuyuan medicine is listed on the Shanghai Stock Exchange: the market value is 10.5 billion, and Hu Baifan is worth more than 4billion
默认浏览器设置不了怎么办?
ETH数据集下载及相关问题
Changwan group rushed to Hong Kong stocks: the annual revenue was 289million, and Liu Hui had 53.46% voting rights
A case study of college entrance examination prediction based on multivariate time series
Interpretation of key parameters in MOSFET device manual
社交元宇宙平台Soul冲刺港股:年营收12.8亿 腾讯是股东
伟立控股港交所上市:市值5亿港元 为湖北贡献一个IPO
Deep learning image data automatic annotation [easy to understand]
【Leetcode】13. 罗马数字转整数
The impact of telecommuting on all aspects of our experience | community essay solicitation
Usage of sprintf() function in C language
Jiuxian's IPO was terminated: Sequoia and Dongfang Fuhai were shareholders who had planned to raise 1billion yuan
Configure MySQL under Linux to authorize a user to access remotely, which is not restricted by IP