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Next Section: MapReduce workflow 01
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Big data (MySQL) video tutorial full version
Chapter1 Databases and relational databases
1-1 The overall concept of big data
1-2 Database and relational database-1
1-3 Database and relational database-2
Chapter2 MySQL installation configuration
2-1 MySQL database
2-2 MySQL download and installation configuration-1
2-3 MySQL download and installation configuration-2
2-4 MySQL download and installation configuration-3
2-5 MySQL download and installation configuration-4
Chapter3 Connect to the database
3-1 Tools to connect to MySQL-1
3-2 Tools to connect to MySQL-2
Chapter4 MySQL fields, tables, libraries
4-1 Overall structure and library management-1
4-2 Overall structure and library management-2
4-3 table concept
4-4 Field data type - 1
4-5 Data type of field - 2
4-6 Table management: view all tables and create tables
4-7 Table management: modifying, deleting tables and viewing table structures
4-8 Table management using tools to manage tables
Chapter5 Data management
5-1 Insert data-1
5-2 Insert data-2
5-3 Insert data field default value and primary key auto-increment
5-4 Data management: modify table data
5-5 Data management: deleting table data
5-6 Simple query to query data-1
5-7 Simple query to query data-2
5-8 Comparison condition query for query data
5-9 Logical condition query for querying data
5-10 Query the null condition of query data
5-11 Query data using fuzzy conditions
5-12 Aggregation query for querying data
5-13 Query data sorting query
5-14 Data query paging query-1
5-15 Data query paging query-2
5-16 Data query paging query-3
5-17 Data query group query-1
5-18 Data query group query-2
5-19 Data query group query-3
5-20 Data query if judgment in SQL-1
5-21 Data query if judgment in SQL-2
5-22 Data query if judgment in SQL-3
Chapter6 data constraints
6-1 Data constraints default value, non-empty, unique
6-2 Data constraints primary key
6-3 Data constraints automatic growth
6-4 Data constraint foreign key -1
6-5 Data constraint foreign key-2
6-6 Data constraint foreign key-3
6-7 Cascade operations of data constraints
Chapter7 Advanced queries and multi-table related queries
7-1 Three major paradigms of database design
7-2 Advanced query child query-1
7-3 Advanced query child query-2
7-4 Advanced query child query-3
7-5 Advanced query in and not in
7-6 Advanced query exists and not exists
7-7 Multi-table association query inner join-1
7-8 Multi-table association query inner join-2
7-9 Multi-table related query left join
7-10 The difference between the on and where conditions of left join in multi-table related queries
7-11 Right join of multi-table related query
7-12 Practice of multi-table related queries
7-13 Use join in update of multi-table related query
7-14 Use join in delete of multi-table related query
7-15 Multi-table related queries using using, union, union all
Chapter8 stored procedure
8-1 A preliminary study on stored procedures
8-2 Stored procedures use in, out, and inout type parameters
8-3 Using variables in stored procedures
8-4 Stored procedure flow control-1
8-5 Stored procedure flow control-2
Chapter9 Triggers, functions, user management and permission management
9-1 trigger
9-2 function
9-3 User Management
9-4 authority management
9-5 DDL, DML, DQL and DCL
Chapter10 MySQL index
10-1 The overall concept of indexing
10-2 Index Btree
10-3 Index classification of indexes
10-4 Index creation timing
Chapter11 MySQL:explan
11-1 The concepts and parameters of explan
11-2 Explan's index failure analysis-1
11-3 Explan's Index Failure Analysis-2
11-4 SQL optimization strategy
Chapter12 Getting Started with Linux
12-1 Getting Started with Linux (Understanding)
12-2 VMWare virtual machine installation
12-3 CentOS 7.5 installation-1
12-4 CentOS 7.5 installation-2
12-5 VMWare virtual machine hangs
12-6 CentOS 7.5 network configuration-1
12-7 CentOS 7.5 network configuration-2
12-8 CentOS 7.5 network configuration-3
12-9 CentOS 7.5 network configuration-4
12-10 File and directory structure
12-11 System startup process
12-12 Use the tool ssh to log in remotely
12-13 VI, VIM editor-1
12-14 VI, VIM editor-2
12-15 Help for common commands and commands related to directory files-1
12-16 Help for common commands and commands related to directory files-2
12-17 Help for common commands and commands related to directory files-3
12-18 Commonly used commands date-related commands
12-19 Commonly used commands for user and username group management commands
12-20 Commonly used commands related to file permissions
12-21 Search for commonly used commands to find related commands
12-22 Commonly used commands: compression and decompression related commands
12-23 Commonly used commands: Disk partition and process thread related commands
12-24 Commonly used commands related to scheduled tasks
12-25 Virtual machine cloning
12-26 Practice questions and interview questions
Chapter13 Getting Started with Shell
13-1 Overview and parser
13-2 Getting started
13-3 Variable 01
13-4 Variable 02
13-5 operator
13-6 Conditional judgment
13-7 process control
13-8 read reads console input and functions
13-9 Custom function
13-10 tool cut
13-11 Tools sed
13-12 Basic usage of awk tool
13-13 Tools awk operator
13-14 Tools awk built-in variables
13-15 The case goes from imitation to variation (you will have your own insights)
13-16 Tool awk script
13-17 Tools awk built-in functions
13-18 Application of tool awk in big data query
13-19 Tool sort
13-20 Real company interview questions
Chapter14 Hadoop
14-1 Introduction to big data (understanding)
14-2 Big data technology ecosystem
14-3 Hadoop overview
14-4 Use securcrt to upload files to Linux
14-5 Virtual machine configuration, JDK and Hadoop installation-1
14-6 Virtual machine configuration, JDK and Hadoop installation-2
14-7 local run mode
14-8 Fully distributed mode (Hadoop cluster) configuration-1
14-9 Fully distributed mode (Hadoop cluster) configuration-2
14-10 Fully distributed mode (Hadoop cluster) configuration-3
14-11 Set up ssh password-free login between cluster nodes
14-12 Cluster starting and stopping
14-13 Cluster configuration history server
14-14 Aggregation of cluster configuration logs
14-15 Running the wordcount case under the cluster
14-16 Compile source code 01
14-17 Compile source code 02
14-18 Compile source code 03
14-19 Frequently Asked Questions and Solutions
Chapter15 HDFS
15-1 Generating background and design ideas
15-2 Overview of advantages, disadvantages and composition architecture
15-3 shell operation 01
15-4 shell operation 02
15-5 shell operation 03
15-6 Establishment of development environment under windows for client operation
15-7 Maven project creation and configuration for client operations
15-8 API example of client operation 01
15-9 API example of client operation 02
15-10 API example of client operation 03
15-11 API example of client operation 04
15-12 Writing process (interview focus)
15-13 Writing process (interview focus) 02
15-14 Network topology of the writing process-node distance calculation (interview focus)
15-15 Copy storage strategy of writing process - rack awareness
15-16 Reading process (interview focus)
15-17 NN and 2NN working mechanism (interview focus)
15-18 Format hadoop cluster
15-19 Fsimage and Edits analysis (interview focus)
15-20 CheckPoint time setting and NameNod
15-21 Cluster security model (interview focus)
15-22 DataNode failure mechanism and offline parameter settings (interview focus)
15-23 Data integrity of DataNode (interview focus)
15-24 Cluster dynamically serves new DataNode data nodes (interview focus)
15-25 Cluster dynamically serves new DataNode data nodes (interview focus) 02
15-26 Cluster dynamically serves new DataNode data nodes (interview focus) 03
15-27 Decommissioning data nodes and DataNode multi-directory configuration
Chapter16 MapReduce
16-1 Definition, Advantages and Disadvantages
16-2 Core ideas and official WordCount source code
16-3 MapReduce: Handwritten WordCount 01
16-4 Handwritten WordCount 02
16-5 Handwritten WordCount 03
16-6 Handwritten WordCount 04
16-7 Serialization concepts and specific methods of serialization and deserialization of custom beans
16-8 Serialization practical case 01
16-9 Serialization practical case 02
16-10 Serialization practical case 03
16-11 Slice split and Map Task parallelism determination mechanism
16-12 Detailed explanation of job submission process source code
16-13 Slicing process and FilenputFormat slicing mechanism
16-14 Combine TextInputFormat slicing mechanism
16-15 Combine TextInputFormat case practice
16-16 MapReduce workflow 01
16-17 MapReduce workflow 02
16-18 Shuffle overview
16-19 Partition partition and custom partition
16-20 Partition custom partition instance operation 01
16-21 Partition custom partition instance operation 02
16-22 WritableComparable sorting
16-23 WritableComparable custom sorting instance
16-24 Combiner merge
16-25 The working mechanism of Map Task and Reduce Task
16-26 OutputFormat data output
16-27 Reduce Join
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