According to Italian journalist schira, many Chelsea players, including Obamaian, are not in Pochettino’s plan and may be sold this summer.
Schira lists Chelsea players who are not in Pochettino’s plan:
Obamyan
Ampadu
Abdul Baba
Chick
Odoy
kovacic
Mendy
Puglisi qi
Marang-Sal
Ziyeh
(Mu Zi)
In order to further promote the nationwide fitness campaign, on April 18th, Xinhe County held the 2023 track and field sports meeting for primary and secondary school students and the inter-class exercise competition in the stadium.
It is understood that 25 teams and more than 5,000 students participated in this competition from 25 primary and secondary schools in the county. During the competition, the neat pace, standard movements, dashing and bright smiles of all participating teams became a beautiful scene, which fully demonstrated the confident, lively, positive and enthusiastic spirit of all primary and secondary school students, as well as the indomitable spirit of the times, and further promoted the in-depth development of sunshine sports.
In the end, 2 first prizes, 4 second prizes and 6 third prizes were selected, and the participating guests presented medals to the winning teams. (Xinhe Education)
LeBron James and the Los Angeles Lakers showed great strength in this year’s first round series of playoffs, especially in the third game, they won more respect. On the contrary, Memphis Grizzlies suffered a terrible defeat. They only scored 9 points in the first quarter, while the Lakers scored 35 points, which is one of the biggest first-quarter leads in NBA history.
It is reported that in the last game, Dillon Brooks made a remark to LeBron James, calling him aging. Admittedly, this is an open provocation, and tonight’s game just happened to make the Lakers completely give this provocateur a loud slap in the face.
On Twitter, the fans changed from initial surprise to happy expression, because they could see their favorite team beating their opponents out of the water. Although Los Angeles and the entire NBA fans were cheering through Twitter, this scene still could not describe their feelings at that time.
Although Memphis Grizzlies posed some threats to the Lakers, their performance at that time could only be described as "terrible", especially Dillon Brooks. His words and deeds are really rash. Can you imagine what Dillon Brooks can do in the face of Lakers players like Xiao Bian? Like a sleepy hollow riding a car to a windmill, Dillon Brooks’s words and deeds were a complete fiasco. The Lakers have given him the best answer in this game: You want to play a joke, we will take this joke to the extreme.
Perhaps the Lakers’ performance in the first quarter was unbelievable, and the Memphis Grizzlies players were also surprised and nervous. But the efforts will not be in vain. In the second half of the game, Memphis Grizzlies still maintained a good performance and did not give up fighting back.
On the whole, it was a very exciting game, and the performances of LeBron James and the Lakers also made people shine. Although this is only a playoff game, we believe that this game will be a turning point in this series. Whether you support the Lakers or Memphis Grizzlies, this game will be hailed as a classic battle.
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The application, management and display of data lake are integrated, providing standard services, data interfaces and report presentation methods. The data of data lake adopts efficient and reliable storage architecture. The enterprise business data migration plan is formulated, and the core data stored in ERP system, data acquisition system, OA system, video monitoring system and cloud business system are migrated to the data lake as a whole, and the inelastic resources are deployed locally. For the elastic computing function, it is necessary to cooperate with the algorithm data lake. So as to realize the controllability of core data and eliminate security problems and potential unknown risks. Support visual modeling, and support mouse dragging for artificial intelligence algorithm modeling. Including data preprocessing, feature engineering, algorithm model, model evaluation and deployment, etc., it supports many types of algorithm applications in the field of fast-selling business, including logistic regression, K nearest neighbor, random forest, naive Bayes, K-means clustering, linear regression, GBDT binary classification, GBDT regression and other algorithm models, and also supports artificial intelligence training models such as deep learning. The presentation layer displays the operation status and resource usage of various business systems in a multi-dimensional and dynamic way through unified business BI report components. And support the periodic or temporary generation of business situations, decision data display, fault analysis and mining and other business scenarios.
X x data lake architecture diagram
Document center:
It is mainly used to store files in various formats, including video files, video and audio files, PDF files, Office files and other types of files, and provides file-level full-text retrieval, document publishing, file sharing, file extraction and other functions. Provide file rights management, version management, version history recovery and other management functions.
The file content in the file center can exchange fusion data with the log center and data center through ETL process, and participate in data processing, data mining, machine learning, image analysis and so on.
Log center:
Collect all kinds of log data, IOT data and other real-time data, and the data will be processed in real time by the stream processing engine to ensure that the data will be analyzed and processed in the first time, so as to achieve real-time monitoring and real-time alarm.
The processed real-time data can be integrated with the data in the file center and data center to participate in data analysis.
Structured data center:
Real-time (or batch) access to structured data in databases or other media, and efficient processing of all kinds of data with the help of powerful processing capabilities such as Hadoop/Spark.
Effectively combine the data in file center and log center to participate in data analysis and data mining.
Support tens of billions of data Cube to achieve sub-second multi-dimensional query of massive data.
Standard SQL output interface, supporting the needs of continuous upgrading and secondary development.
Schematic diagram of unified interface of data lake interface
Data access principle
1. Give priority to the application-driven construction of high-value digital twin projects;
2. The data entering the lake must be certified by the data management department, and the corresponding data asset standards shall be issued to match the corresponding data responsible person;
3. The principle of data modeling is standardized step by step with original data, clean and integrated data, three normal forms structure and service wide table;
4. The overall platform shall conform to the principle of high availability and parallel expansion, and conform to the data planning of the business for 3-5 years.
Real-time data synchronization supports most real-time database synchronization requirements. Support data synchronization across WAN and receiver clustering. Build a unified, standard, easy to copy and maintain data real-time synchronization platform, and at the same time complete the technical specifications and strategies of data real-time synchronization. Realize data synchronization monitoring system, and build a continuous and reliable real-time monitoring system for data update. Complete the integration mechanism of one-time rapid data import and incremental data import-trickle replication. The Full Dump module is used to realize the encryption of data warehousing, and the HiveSQL interface is provided based on Data Handle, at the same time, the decryption of data warehousing is completed. Control of data access rights through customization of Application Adapter.
L The scheme of keeping the original database for business systems that frequently read and write data, ERP system, data acquisition system, OA system, video monitoring system and cloud business system. Business data should be synchronized to the data lake, and the consistency between local data lake and business system data should be verified periodically during the parallel operation.
L receive real-time incremental data and store the data in the local data lake according to the predetermined architecture. Real-time production data is accessed in real time and reliably transmitted to the company’s database cluster. The data access amount is about 110TB/ day, and the historical data is 40000TB.
Logical architecture diagram of data migration
L Data lake operations are divided into two categories: inelastic and elastic. For inelastic operations, operations are performed in the local data lake. For operations that consume large resources and need elastic calculation, collaborative calculation is adopted with the enterprise cloud, and data is not saved in the enterprise cloud data lake. After the operation calculation is completed, the process and result data are sent back to the local data lake for storage. Interface service supports publish-subscribe mode, cross-data lake and cross-system call, HDFS, Hive, HBase and other systems.
A) interface type
Bulk data encapsulation
A large number of data are extracted according to certain conditions and packaged into data resources. Batch data packaging must be carried out through the system, not manually.
Data request interface encapsulation
The data is encapsulated as an access interface by restful interface, so that the accessor can access the data through remote call.
B) interface security
configuration management
Configure the content of shared data and sharing interface rules, including basic data configuration, sharing service configuration, sharing rights and sharing configuration distribution.
A) basic data configuration
It can configure the basic data used in the data sharing functional domain, including the configuration of the shared data system, the data structure and semantic description of the shared data entity, and the sharing method.
B) shared service configuration
Data service definition, data service directory, data service parameter configuration (such as: target system, sharing mode, data bearing mode, access frequency, access permission period), etc.
C) sharing permission configuration
Configure the permissions of the target system that is allowed to use the shared service, and support the permissions configuration of specific data entities and attributes within the shared service.
D) shared configuration distribution
The content of shared data and sharing interface rules are distributed to all relevant systems.
Data sharing process
Monitoring, exception handling and log management of data sharing processes, and providing query statistics and analysis functions for data related to data sharing.
A) table data sharing
The target system is an application layer analysis system, which directly opens the access rights of tables, and the target system extracts data through ETL.
B) data query
The target system is an application layer analysis system, and the target system directly calls the data query service provided by the data lake to complete the data query.
C) data subscription
The target system is an application layer analysis system, and the target system puts forward data subscription requirements, and the data lake provides data subscription services.
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Stanford University is a world-famous private research university located in Stanford, California, USA. Founded in 1885, it is widely regarded as one of the most prestigious universities in the world. It is famous for cultivating some of the most talented and influential graduates. Its world-class research facilities and strong concern for innovation are only part of the reasons why students from all over the world flock to its hall every year.
1. Close to Silicon Valley
One of the most striking aspects of Stanford is its proximity to Silicon Valley, the center of the technology industry. This proximity means that students can take advantage of the huge network of technology companies and startups in the region, many of which are actively recruiting graduates from Stanford University. For example, many graduates continue to work for companies such as Google, Apple and Facebook, just to name a few. In addition, many students started their own technology companies while studying at Stanford University, and the university provided them with the support they needed to start their own businesses.
2. Interdisciplinary research
Another advantage of Stanford University is its emphasis on interdisciplinary research. The university is firmly committed to interdisciplinary cooperation and encourages students to pursue their interests in various fields. This enables students to get a comprehensive education and prepare them for a wide range of careers. In addition, the university’s partnership with local enterprises, governments and other organizations means that students can obtain a huge network of resources to help them further achieve their research goals.
3. At the forefront of cutting-edge research
Stanford University is also famous for its commitment to cutting-edge scientific research. The university has a rich history of innovation, and its faculty and students have made many pioneering contributions in the fields of science, engineering and medicine. For example, in the early days of the Internet, researchers at Stanford University played an important role in developing ARPANET, the predecessor of the modern Internet. Recently, researchers at Stanford University have been at the forefront of artificial intelligence, robotics and biotechnology.
4. Advantages of artificial intelligence
One of Stanford’s most striking scientific research achievements is its work in the field of artificial intelligence. In recent years, the university has been at the forefront of the progress of deep learning, which is a subset of artificial intelligence and has been proved to be very effective in solving complex problems. For example, researchers at Stanford University have developed a deep learning algorithm that can accurately diagnose diseases based on medical images and translate speech from one language to another with high precision. These advances have the potential to completely change many industries and improve the lives of millions of people around the world.
5. Characteristics of robot field
In addition to its work in artificial intelligence, Stanford University is also famous for its cutting-edge research in the field of robotics. The university has a long history of innovation in this field, and its researchers are at the forefront of developing new and improved robots for wide applications. For example, researchers at Stanford University have developed robots that can perform complex tasks in dangerous environments, such as exploring deep-sea trenches or defusing bombs. These advances may greatly improve the safety and efficiency of many industries.
In a word, Stanford University is a world-renowned research institution, which is highly respected for its commitment to interdisciplinary research, attention to innovation and breakthrough scientific achievements. Its location in Silicon Valley provides students with unparalleled opportunities to enter the technology industry, and its partnership with local organizations means that students can obtain a huge network of resources. With great emphasis on scientific research and commitment to interdisciplinary cooperation, Stanford University is an ideal place for students interested in pursuing a career in science, engineering or medicine.