Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool
In and Out of Apache Hive - From Basic Hive to Advance Hive (Real-Time concepts) + Use cases asked in Interviews
Created by J Garg - Senior Big data Consultant in a prestigious MNC
Students: 16709, Price: $49.99
Students: 16709, Price: Paid
Apache Hive is a data processing tool on Hadoop. It is a querying tool for HDFS and the syntax of it's queries is almost similar to our old SQL. Hive is an open source-software that lets programmers analyze large data sets on Hadoop.
Benefits of this course:
"Basic Hive is not sufficient if you want to work on Real-time projects.”
Make yourself prepared to work on Real time Big data and Hive projects by learning Advance Hive from this course. Enroll into this course and get end to end knowledge of Basic + ADVANCE Hive + Interview asked Use cases. This course is very rare of its kind and includes even very thin details of Hive which are not available anywhere online.
In this course you will get to understand a step by step learning of very Basic Hive to Advance Hive (which is actually used in Real-time projects) like:
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Variables in Hive
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Table properties of Hive
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Custom Input Formatter
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Map and Bucketed Joins
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Advance functions in Hive
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Compression techniques in Hive
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Configuration settings of Hive
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Working with Multiple tables in Hive
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Loading Unstructured data in Hive
And many more......
This course is a full package explaining even rarely used commands and concepts in Hive. After completing this course you won't find any topic left in Hive. This course is made keeping in mind the Real Implementation of Hive in Live Projects.
Apart from this I have included 1 more section which is Use cases asked in Interviews. Usually students can answer the direct questions asked by Interviewers but got stuck on Use cases . For that I have explained the frequently asked Use cases with their proper practical working in Hive.
Additionally ,You can download the Step Step Installation Guide (pdf) to Install Hadoop and Apache Hive
Master Big Data – Apache Spark/Hadoop/Sqoop/Hive/Flume
In-depth course on Big Data - Apache Spark , Hadoop , Sqoop , Flume & Apache Hive, Big Data Cluster setup
Created by Navdeep Kaur - TechnoAvengers.com (Founder)
Students: 5404, Price: $29.99
Students: 5404, Price: Paid
In this course, you will start by learning what is hadoop distributed file system and most common hadoop commands required to work with Hadoop File system.
Then you will be introduced to Sqoop Import
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Understand lifecycle of sqoop command.
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Use sqoop import command to migrate data from Mysql to HDFS.
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Use sqoop import command to migrate data from Mysql to Hive.
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Use various file formats, compressions, file delimeter,where clause and queries while importing the data.
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Understand split-by and boundary queries.
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Use incremental mode to migrate the data from Mysql to HDFS.
Further, you will learn Sqoop Export to migrate data.
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What is sqoop export
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Using sqoop export, migrate data from HDFS to Mysql.
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Using sqoop export, migrate data from Hive to Mysql.
Further, you will learn about Apache Flume
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Understand Flume Architecture.
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Using flume, Ingest data from Twitter and save to HDFS.
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Using flume, Ingest data from netcat and save to HDFS.
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Using flume, Ingest data from exec and show on console.
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Describe flume interceptors and see examples of using interceptors.
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Flume multiple agents
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Flume Consolidation.
In the next section, we will learn about Apache Hive
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Hive Intro
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External & Managed Tables
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Working with Different Files - Parquet,Avro
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Compressions
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Hive Analysis
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Hive String Functions
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Hive Date Functions
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Partitioning
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Bucketing
Finally You will learn about Apache Spark
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Spark Intro
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Cluster Overview
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RDD
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DAG/Stages/Tasks
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Actions & Transformations
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Transformation & Action Examples
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Spark Data frames
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Spark Data frames - working with diff File Formats & Compression
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Dataframes API's
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Spark SQL
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Dataframe Examples
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Spark with Cassandra Integration
Apache Hive Basic to advance all in one
Become Expert in Big data Hive for projects and Interview
Created by Anshul Jain - Java-Big Data Consultant
Students: 92, Price: $79.99
Students: 92, Price: Paid
Apache Hive is a data processing tool on Hadoop. It is a querying tool for HDFS and the syntax of it's queries is almost similar to our old SQL. Hive is an open source-software that lets programmers analyze large data sets on Hadoop.
Benefits of this course:
Enroll into this course and get end to end knowledge of Basic + ADVANCE Hive + Interview asked Use cases. This course is very rare of its kind and includes even very thin details of Hive which are not available anywhere online.
In this course you will get to understand a step by step learning of very Basic Hive to Advance Hive (which is actually used in Real-time projects) like with latest Hive version 3.x
Hive Setup , All file formats of Hive , Partition , Bucketing , Joins , Hive Code Review like Experts : all demo / interactive sessions
HQL Clauses : Distribute by , order by , clustered by , sort by
Window functions like rank , row_number , dense_rank : all demo / interactive sessions
Materialized View : A new advanced feature of Hive
ACID properties : update , delete , merge records in Hive table
CRUD operation in Hive : Different ways to create / insert data in hive table
Exchange of Partition between Tables and much more...
Performance Technique that big companies use to query fast on data.
This course is a full package explaining even rarely used commands and concepts in Hive. After completing this course you won't find any topic left in Hive. This course is made keeping in mind the Real Implementation of Hive in Live Projects..
Additionally ,You can download the Step Step Installation Guide (doc) to Install Hadoop and Apache Hive