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项目作者： m-r-tanha

项目描述 ：
This repository is going to update based on my challenges in installing and using the Hadoop's tools Spark
高级语言：
项目地址: git://github.com/m-r-tanha/Hadoop-Ecosystem.git
创建时间： 2020-03-17T10:56:30Z
项目社区：https://github.com/m-r-tanha/Hadoop-Ecosystem
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Hadoop

This repository is going to update based on my challenges in installing and using the Spark

Data Storage

After data ingestion, the next step is to store the extracted data. The data either be stored in HDFS or NoSQL database (i.e. HBase). The HDFS storage works well for sequential access whereas HBase for random read/write access.

Data Processing

The final step in deploying a big data solution is the data processing. The data is processed through one of the processing frameworks like Spark, MapReduce, Pig, etc.

What is fsck?

fsck stands for File System Check. It is a command used by HDFS. This command is used to check inconsistencies and if there is any problem in the file. For example, if there are any missing blocks for a file, HDFS gets notified through this command.

Hive

it look likes a SQL language for generating MapRedicue Code

  1. Put files into HDFS:
  2. $ hadoop fs –put *site.xml /u01/bigdatasql_config/bigdatalite
  3. Copy a file from local file system to a directory in HDFS
  4. $ hadoop fs -copyFromLocal A.text Hadoop_Dci/A.txt

Spark

Usful link for installing (https://www.youtube.com/watch?v=PbIzjViybM0)

Kafka

Usful link to Install Kafka (https://www.youtube.com/watch?v=TTsOoQ6_QB0)

Kafka is a distributed messaging system providing fast, highly scalable and redundant messaging through a pub-sub model. A consumer pulls messages off of a Kafka topic while producers push messages into a Kafka topic. Lastly, Kafka, as a distributed system, runs in a cluster. Each node in the cluster is called a Kafka broker. Kafka topics are divided into a number of partitions. Partitions allow you to parallelize a topic by splitting the data in a particular topic across multiple brokers. each partition can be placed on a separate machine to allow for multiple consumers to read from a topic in parallel. Each message within a partition has an identifier called its offset.

CMD commands to run and test the Kafka

  1.  zookeeper-shell.bat localhost:2181 ls /brokers/ids
  2.  kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test
  3.  kafka-console-producer.bat --broker-list localhost:9092 --topic test
  4.  kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic test --from-beginning
  5.  # localhost:9092 is Kafka Address
  6.  # if we open two CMD windows and run the Producer and Consumer comand in each of them we can see wen a data put to producer the consumer shows it by a delay
  7.  kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic test --from-beginning --property print.timestamp=true --partition 0
  8.  kafka-topics.bat --bootstrap-server localhost:9092 --describe
  10.  # output:
  11.  Topic: test     PartitionCount: 1       ReplicationFactor: 1    Configs: min.insync.replicas=1,segment.bytes=1073741824
  12.         Topic: test     Partition: 0    Leader: 0       Replicas: 0     Isr: 0
  13. Topic: __consumer_offsets       PartitionCount: 1       ReplicationFactor: 1    Configs: compression.type=producer,min.insync.replicas=1,cleanup.policy=compact,segment.bytes=104857600
  14.         Topic: __consumer_offsets       Partition: 0    Leader: 0       Replicas: 0     Isr: 0

Kafka0

HBase

Summary Hbase Logical Model

Row: Keys lexicographically sorted byte
Cell:

  • Columns name are byte[]
  • Values are byte[]
    ACID guarantees per row for HBase reads and writes

    Physical DataModel

    hbase

Data Science Interview questions

  • How do we check if a variable follows the normal distribution? answer
  • Difference between Linear Regression and Logistic Regression? @dhiraj8899/top-5-difference-between-linear-regression-and-logistic-regression-893f6470d7e0">answer
  • What is linear regression? When do we use it? @dhiraj8899/top-5-difference-between-linear-regression-and-logistic-regression-893f6470d7e0">answer
  • What if we want to build a model for predicting prices? Are prices distributed normally? Do we need to do any pre-processing for prices?z-score
  • What are the methods for solving linear regression do you know? ??????
  • What is gradient descent? How does it work? answer
  • What is SGD  —  stochastic gradient descent? What’s the difference with the usual gradient descent? answer
  • overfitting?
    • Labeling dataset wrongly
    • Huge difference between Train and Test Datasets
    • Small set of dataset
    • System Complexity
  • How do we choose K in K-fold cross-validation? What’s your favorite K?
  • What is logistic regression? When do we need to use it? To predict an outcome variable that is categorical from predictor variables that are continuous and/or categorical