5 Months , The necessary dry goods for mastering big data 【 Key points of technical point marking 】, A full set of self-study is included below video + Source data , If zero basic entry, small partners in the data development industry start from Python Start with language .Python The language is easy to understand , It's suitable for zero base entry , The fastest rising in programming language rankings , Can complete data mining .
Linux
Basic commands
User management
Rights management
Network management
SSH
VI
MySQL
DDL
DML
DQL
Multi-table query
Group query
constraint
Kettle
Data conversion
Script components
Job Development
BI Tools
Basic operation
Common charts
instrument panel
Stage case practice Traditional data warehouse practice video 1、 Basic course of data development
Zookeeper
Framework principle
The storage model
ZK Cluster building
The election mechanism
Hadoop HDF S
HDFS framework
Block Block storage
Read and write flow
NameNode
DataNode
High availability cluster
Hadoop MapReduce
The core principle
Execute the process
Shuffle Mechanism
Hadoop YARN
YARN Components
Framework principle
Execute the process
Scheduler
Hive
HQL
data type
Divided into buckets
Zipper table
Metadata
data compression
Storage format
Principle framework
performance optimization
Stage case practice 【 social contact APP Case actual combat 】 Course video 1、 Zero foundation quick start big data
CDH
CM framework
Component building
CM Practice
Based on Alibaba data warehouse layered architecture
ODS
DIM
DWS
DWD
DM
ADS
Hive + Presto
Framework principle
SQL tuning
Cluster building
Hive performance tuning
Data skew
JOIN tuning
HIVE Indexes
Dispatch
DS
Azkaban
Oozie
Stage project practice Online education big data warehouse video 1、 Online Education warehouse practice
Python Programming
Basic grammar
data structure
function
object-oriented
exception handling
Modules and packages
Network programming
Multi process
Multithreading
Closure
Decorator
iterator
Spark
Framework principle
Spark RDD
Spark DF
Spark DAG
Spark SQL
Memory iteration
performance tuning
Task scheduling
Pandas on Spark
Spark on Hive
Spark Shuffle
Spark 3.x New characteristics
Stage project practice Industrial project practice 、 Insurance big data practice
video 1、 Get started with zero Basics Python Programming 2、Python Advanced Programming 3、 The first set in the whole network PySpark4、 Industrial project practice
Flink Core
Framework principle
Batch flow integration
Window operation
State operation
DataStream
Checkpoint
Flink SQL
Task scheduling
Load balancing
State management
Runtime
Implementation plan
Flink Performance monitoring and tuning
Flink Performance monitoring and tuning
Flink + Elasticsearch
Flink + Kafka
Flink + Pulsar
Flink + ClickHouse
Flink + Doris
Stage project practice Actual combat of the Internet of vehicles project Financial securities project practice video 1、 middleware & Storage framework ( Coming soon ) 2、Flink Development courses ( Coming soon ) 3、 Internet of vehicles real-time computing project ( Coming soon ) 4、 Financial securities project practice ( Coming soon )
Big factory interview 06
data structure
Stack
Trees
chart
Array
Linked list
Hashtable
High frequency algorithm
Sort
lookup
Array
character string
Linked list
Stack
queue
Binary tree
to flash back
Dynamic programming
greedy
Complexity
The real question of the interview
programing language
SQL
Hadoop ecology
Hive
Spark
Flink
Large factory structure
Meituan reviews the data warehouse structure
Xiaomi big data architecture
Ping An big data architecture
video 1、 Peking University Master's algorithm special course
link ：https://pan.baidu.com/s/19zFkO4JBUAqTt9o2msu9gA?pwd=1234 Extraction code ：1234
