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PacktPub | Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark [Video] [FCO]

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0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	377.00 B
0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
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1 - Hadoop Introduction/01 - HDFS and Hadoop Commands.mp4	110.45 MB
2 - Sqoop Import/02 - Sqoop Introduction.mp4	110.84 MB
2 - Sqoop Import/03 - Managing Target Directories.mp4	39.65 MB
2 - Sqoop Import/04 - Working with Different File Formats.mp4	17.24 MB
2 - Sqoop Import/05 - Working with Different Compressions.mp4	22.96 MB
2 - Sqoop Import/06 - Conditional Imports.mp4	17.94 MB
2 - Sqoop Import/07 - Split-by and Boundary Queries.mp4	33.08 MB
2 - Sqoop Import/08 - Field delimeters.mp4	13.43 MB
2 - Sqoop Import/09 - Incremental Appends.mp4	12.44 MB
2 - Sqoop Import/10 - Sqoop Hive Import.mp4	14.18 MB
2 - Sqoop Import/11 - Sqoop List Tables_Database.mp4	10.53 MB
2 - Sqoop Import/12 - Sqoop Import Practice1.mp4	20.04 MB
2 - Sqoop Import/13 - Sqoop Import Practice2.mp4	17.82 MB
2 - Sqoop Import/14 - Sqoop Import Practice3.mp4	14.98 MB
3 - Sqoop Export/15 - Export from Hdfs to Mysql.mp4	44.13 MB
3 - Sqoop Export/16 - Export from Hive to Mysql.mp4	10.67 MB
4 - Apache Flume/17 - Flume Introduction & Architecture.mp4	9.94 MB
4 - Apache Flume/18 - Exec Source and Logger Sink.mp4	14.80 MB
4 - Apache Flume/19 - Moving data from Twitter to HDFS.mp4	34.25 MB
4 - Apache Flume/20 - Moving data from NetCat to HDFS.mp4	16.60 MB
4 - Apache Flume/21 - Flume Interceptors.mp4	5.70 MB
4 - Apache Flume/22 - Flume Interceptor Example.mp4	18.92 MB
4 - Apache Flume/23 - Flume Multi-Agent Flow.mp4	25.86 MB
4 - Apache Flume/24 - Flume Consolidation.mp4	23.50 MB
5 - Apache Hive/25 - Hive Introduction.mp4	13.76 MB
5 - Apache Hive/26 - Hive Database.mp4	12.52 MB
5 - Apache Hive/27 - Hive Managed Tables.mp4	25.56 MB
5 - Apache Hive/28 - Hive External Tables.mp4	10.54 MB
5 - Apache Hive/29 - Hive Inserts.mp4	21.60 MB
5 - Apache Hive/30 - Hive Analytics.mp4	17.38 MB
5 - Apache Hive/31 - Working with Parquet.mp4	13.33 MB
5 - Apache Hive/32 - Compressing Parquet.mp4	19.14 MB
5 - Apache Hive/33 - Working with Fixed File Format.mp4	11.24 MB
5 - Apache Hive/34 - Alter Command.mp4	23.37 MB
5 - Apache Hive/35 - Hive String Functions.mp4	25.13 MB
5 - Apache Hive/36 - Hive Date Functions.mp4	20.95 MB
5 - Apache Hive/37 - Hive Partitioning.mp4	26.54 MB
5 - Apache Hive/38 - Hive Bucketing.mp4	14.72 MB
6 - Spark Introduction/39 - Spark Introduction.mp4	16.32 MB
6 - Spark Introduction/40 - Resilient Distributed Datasets.mp4	10.67 MB
6 - Spark Introduction/41 - Cluster Overview.mp4	26.24 MB
6 - Spark Introduction/42 - Directed Acyclic Graph (DAG) & Stages.mp4	38.09 MB
7 - Spark Transformations & Actions/43 - Map_FlatMap Transformation.mp4	17.82 MB
7 - Spark Transformations & Actions/44 - Filter_Intersection.mp4	16.87 MB
7 - Spark Transformations & Actions/45 - Union_Distinct Transformation.mp4	10.68 MB
7 - Spark Transformations & Actions/46 - GroupByKey_ Group people based on Birthday months.mp4	22.55 MB
7 - Spark Transformations & Actions/47 - ReduceByKey _ Total Number of students in each Subject.mp4	27.24 MB
7 - Spark Transformations & Actions/48 - SortByKey _ Sort students based on their rollno.mp4	24.30 MB
7 - Spark Transformations & Actions/49 - MapPartition _ MapPartitionWithIndex.mp4	24.22 MB
7 - Spark Transformations & Actions/50 - Change number of Partitions.mp4	15.48 MB
7 - Spark Transformations & Actions/51 - Join _ Join email address based on customer name.mp4	12.98 MB
7 - Spark Transformations & Actions/52 - Spark Actions.mp4	23.53 MB
8 - Spark RDD Practice/53 - Scala Tuples.mp4	35.89 MB
8 - Spark RDD Practice/54 - Extract Error Logs from log files.mp4	39.55 MB
8 - Spark RDD Practice/55 - Frequency of word in Text File.mp4	32.66 MB
8 - Spark RDD Practice/56 - Population of each City.mp4	15.22 MB
8 - Spark RDD Practice/57 - Orders placed by Customers.mp4	35.66 MB
8 - Spark RDD Practice/58 - Movie Average Rating greater than 3.mp4	27.10 MB
9 - Spark Dataframes & Spark SQL/59 - Dataframe Intro.mp4	9.02 MB
9 - Spark Dataframes & Spark SQL/60 - Dafaframe from Json Files.mp4	20.73 MB
9 - Spark Dataframes & Spark SQL/61 - Dataframe from Parquet Files.mp4	7.31 MB
9 - Spark Dataframes & Spark SQL/62 - Dataframe from CSV Files.mp4	31.81 MB
9 - Spark Dataframes & Spark SQL/63 - Dataframe from Avro_XML Files.mp4	19.45 MB
9 - Spark Dataframes & Spark SQL/64 - Working with Different Compressions.mp4	25.06 MB
9 - Spark Dataframes & Spark SQL/65 - DataFrame API Part1.mp4	20.08 MB
9 - Spark Dataframes & Spark SQL/66 - DataFrame API Part2.mp4	25.15 MB
9 - Spark Dataframes & Spark SQL/67 - Spark SQL.mp4	18.42 MB
9 - Spark Dataframes & Spark SQL/68 - Working with Hive Tables in Spark.mp4	18.44 MB
9781839212734_Code.zip	7.94 MB

Description

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By: Navdeep Kaur
Released: July 17, 2019
Course Source: https://www.packtpub.com/data/master-big-data-ingestion-and-analytics-with-flume-sqoop-hive-and-spark-video

Complete course on Sqoop, Flume, and Hive: Great for CCA175 and Hortonworks Spark Certification preparation

Video Details

ISBN 9781839212734
Course Length 5 hours 38 minutes

Learn

• Explore the Hadoop Distributed File System (HDFS) and commands
• Get to grips with the lifecycle of the Sqoop command
• Use the Sqoop Import command to migrate data from MySQL to HDFS and Hive
• Understand split-by and boundary queries
• Use the incremental mode to migrate data from MySQL to HDFS
• Employ Sqoop Export to migrate data from HDFS to MySQL
• Discover Spark DataFrames and gain insights into working with different file formats and compression

About

In this course, you will start by learning about the Hadoop Distributed File System (HDFS) and the most common Hadoop commands required to work with HDFS. Next, you’ll be introduced to Sqoop Import, which will help you gain insights into the lifecycle of the Sqoop command and how to use the import command to migrate data from MySQL to HDFS, and from MySQL to Hive.

In addition to this, you will get up to speed with Sqoop Export for migrating data effectively, along with using Apache Flume to ingest data. As you progress, you will delve into Apache Hive, external and managed tables, working with different files, and Parquet and Avro. Toward the concluding section, you will focus on Spark DataFrames and Spark SQL.

By the end of this course, you will have gained comprehensive insights into big data ingestion and analytics with Flume, Sqoop, Hive, and Spark.

All code and supporting files are available at - https://github.com/PacktPublishing/Master-Big-Data-Ingestion-and-Analytics-with-Flume-Sqoop-Hive-and-Spark

Features:

• Learn Sqoop, Flume, and Hive and successfully achieve CCA175 and Hortonworks Spark Certification
• Understand the Hadoop Distributed File System (HDFS), along with exploring Hadoop commands to work effectively with HDFS

Author

Navdeep Kaur - Technical Trainer Navdeep Kaur is a big data professionals with 11 years of industry experience in different technologies and domains. She has a keen interest in providing training in new technologies. She has received CCA175 Hadoop and Spark developer certification and AWS solution architect certification. She loves guiding people and helping them achieves new goals.