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Is block dream sharing a blockchain technology
Publish: 2021-05-04 17:52:33
1. blockchain is a concept. Blockchain technology is not only the technology to realize the concept of blockchain, but also the code. Bitcoin is based on the concept of blockchain and developed with blockchain technology.
2. Explain blockchain with scientific language --- blockchain is a permanent and irreversible modified record generated by superimposing encrypted data (blocks) in chronological order. Many financial institutions in the world, including JPMorgan Chase, HSBC, Citibank and New York Mellon bank, have also cooperated with blockchain companies to study the application of blockchain technology in the financial market. The person in charge of the blockchain Technology Laboratory of Shanghai Heshu software said that when there is no trusted third party in blockchain, all transaction data will be stored in a data block, and the transaction information will form a complete chain and be included in the blockchain, which is a more reliable ultimate solution than the trusted third party.
3. Map rec - maprec is a programmable model that uses cluster parallel and distributed algorithms to process large data sets. Apache maprec is derived from Google maprec: simplify data processing in large clusters. The current version of Apache maprec is built on the Apache horn framework. YARN ＝ “Yet-Another-Resource-Negotiator” Horn can run non maprec model applications. Horn is an attempt of Apache Hadoop to surpass maprec's data processing ability
HDFS - the Hadoop distributed file system (HDFS) provides a solution for storing large files across multiple machines. Hadoop and HDFS are derived from Google File System (GFS). Before Hadoop 2.0.0, namenode was a single point of failure (spof) in HDFS cluster. This problem is solved by using the high availability features of zookeeper and HDFS, which provides the option to run two plicate namenodes in the same cluster and the same active / passive configuration
HBase - inspired by Google BigTable. HBase is an open source implementation of Google BigTable. Similar to Google BigTable, it uses GFS as its file storage system, and HBase uses Hadoop HDFS as its file storage system; Google runs maprec to process massive data in BigTable, and HBase also uses Hadoop maprec to process massive data in HBase; Google BigTable uses chubby as a collaborative service, while HBase uses zookeeper as its counterpart
hive - data warehouse infrastructure developed by Facebook. Data collection, query and analysis. Hive provides a SQL like language (not compatible with SQL92): hiveql
pig - pig provides an engine to execute data streams in parallel in Hadoop. Pig contains a language: Pig Latin, which is used to express these data streams. Pig Latin includes a large number of traditional data operations (join, sort, filter, etc.) and allows users to develop their own functions to view, process and write data. Pig runs on Hadoop and is used in Hadoop distributed file system, HDFS, Hadoop processing system and maprec. Pig uses maprec to perform all data processing and compile Pig Latin scripts. Users can write one or more maprec jobs into a series and then execute them. Pig Latin doesn't look like most programming languages, with no if state or for loop
zookeeper - zookeeper is a formal sub project of Hadoop. It is a reliable coordination system for large distributed systems. Its functions include configuration maintenance, name service, distributed synchronization, group service, etc. The goal of zookeeper is to encapsulate complex and error prone key services, and provide users with simple and easy-to-use interfaces and high-performance and stable systems. Zookeeper is an open source implementation of chubby of Google. It is a highly effective and reliable cooperative work system. Zookeeper can be used for leader election, configuration information maintenance, etc. in a distributed environment, we need a master instance or store some configuration information to ensure the consistency of file writing, etc
mahout - machine learning library and mathematics library based on maprec.
HDFS - the Hadoop distributed file system (HDFS) provides a solution for storing large files across multiple machines. Hadoop and HDFS are derived from Google File System (GFS). Before Hadoop 2.0.0, namenode was a single point of failure (spof) in HDFS cluster. This problem is solved by using the high availability features of zookeeper and HDFS, which provides the option to run two plicate namenodes in the same cluster and the same active / passive configuration
HBase - inspired by Google BigTable. HBase is an open source implementation of Google BigTable. Similar to Google BigTable, it uses GFS as its file storage system, and HBase uses Hadoop HDFS as its file storage system; Google runs maprec to process massive data in BigTable, and HBase also uses Hadoop maprec to process massive data in HBase; Google BigTable uses chubby as a collaborative service, while HBase uses zookeeper as its counterpart
hive - data warehouse infrastructure developed by Facebook. Data collection, query and analysis. Hive provides a SQL like language (not compatible with SQL92): hiveql
pig - pig provides an engine to execute data streams in parallel in Hadoop. Pig contains a language: Pig Latin, which is used to express these data streams. Pig Latin includes a large number of traditional data operations (join, sort, filter, etc.) and allows users to develop their own functions to view, process and write data. Pig runs on Hadoop and is used in Hadoop distributed file system, HDFS, Hadoop processing system and maprec. Pig uses maprec to perform all data processing and compile Pig Latin scripts. Users can write one or more maprec jobs into a series and then execute them. Pig Latin doesn't look like most programming languages, with no if state or for loop
zookeeper - zookeeper is a formal sub project of Hadoop. It is a reliable coordination system for large distributed systems. Its functions include configuration maintenance, name service, distributed synchronization, group service, etc. The goal of zookeeper is to encapsulate complex and error prone key services, and provide users with simple and easy-to-use interfaces and high-performance and stable systems. Zookeeper is an open source implementation of chubby of Google. It is a highly effective and reliable cooperative work system. Zookeeper can be used for leader election, configuration information maintenance, etc. in a distributed environment, we need a master instance or store some configuration information to ensure the consistency of file writing, etc
mahout - machine learning library and mathematics library based on maprec.
4. Master Lu, it's wrong
change the software< br />CPU-Z、aida64……
change the software< br />CPU-Z、aida64……
5. Unknown_Error
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