This video explains in detail about the Big Data Introduction, Challenges of BigData, sources of bigdata along with real time example scenarios

This video provides information about hadoop introduction, different roles in hadoop and distributors of hadoop etc.,Realtime example has been discussed to demonstrate the roles in hadoop.

This video explains the overview about hadoop ecosystems. Each ecosystem introduction and their importance in big data stack. 

This video explains about distributed architecture ., how big data addresses storage issue using hdfs architecture and daemon services of hadoop1 architecture.

In continuation to the previous video, this video explains about the hdfs architecture in detail

In continuation to the previous video, this video explains about the concepts of edge node, cluster nodes, responsibilities of job tracker and namenode in detail

This video explains about the disadvantages of hadoop1 architecture and introduces Yarn architecture and its deamon services. Also , how hadoop2 architecture has overcome the limitations of hadoop1 is explained in detail.

This video provides the detailed explanation about how hadoop handles namenode failure. 

This video explains the process of setting up hadoop in pseudo distribution mode. Also I have explained the softwares required to download for hadoop quickstart virtual environment setup.

This video provides the information about the linux commands that are used to interact with hdfs.Using these basic linux commands user can interact with hdfs to store the big data and also to implement his business logic on the data in hdfs.

This video provides the way how we connect to a cluster node or edge node remotely from a window desktop using putty.exe and also I have explained the file transfer from windows machine to datanode using winscp.

This video demonstrates how we can setup hadoop environment in Azure cloud.

This video demonstrates how we can setup hadoop environment in Azure cloud.

This video demonstrates how we can login to Ambari 

This video explains the second approach in ingesting the data from a remote machine to edgenode/clusternode using sftp protocol in linux and using winscp in windows.

This video provides the introduction to Apache Sqoop and various common, control arguments we use in sqoop command

This video provides handson experience on data ingestion from RDMS mysql database to hdfs

This video provides practical demo on incremental append scenario in sqoop.

This video provides the practical demonstration of sqoop commands like querying,columnar records sqooping,importing all the tables from a database etc.,

This video provides the information about apache flume and its components, architecture, properties used etc.,

This video provides a practical demo on data ingestion of streaming data from  an external source folder to hdfs using spoolDir source property in flume

This video provides the introduction to hive and the way how managed tables can be created in hive and how to load the data in to those tables etc.,

This video provides a hands on demonstration of external tables creation in hive

This video provides a diagrammatic explanation of hive architecture and its components. Also the way how we execute hive queries in GUI mode using HUE manager.

This video provides a hands on demo on how we partition the data using hive and advantages of using partitioning concept in hive. Also we will discuss about types of partitioning we have in hive

This video provides detailed hands on demo on dividing the data into buckets and the properties to set to load the data into bucketing tables

Various properties have to be set in order to enable certain features in hive which are disabled by default. For example dynamic partitioning, data loading into bucketing tables needs extra properties to be set. They will be dealt in this video

Inpu dataset can be xml documents also. We will be learning how to process xml documents in hive as a part of this demo

Through this video you can learn json file processing in hive with a detailed example

Apart from hive cli which is deprecated we have beeline shell to connect to hive server . This video will provide you the hands on approach to demonstrate connectivity to beeline shell and its usage

we have various file formats in hive depending on the compression techniques used and size., all these file formats are explained in detail in this video

This video demonstrates various file formats in hive with  an example

This video provides a hands on demonstration about complex datatypes in hive like structs, unions, array and map .

This video explain about the properties to be set for enabling update and delete operations in hive

Hive converts joins over multiple tables into a single map/reduce job if for every table the same column is used in the join clauses. This video demonstrates mapside join in hive

This video demonstrates the way how we execute hive scripts

This video helps you to understand the importance of pig in performing data cleansing operations in hadoop and its basic commands to start with

This video explains the usage of group and cogroup commands in apache pig

This video provides the detailed explanation about FILTER,JOIN,RANK,FLATTEN,ORDERBY,DISTINCT commands in pig

In this video you will learn how to create and execute a pig script

This video demonstrates how we will un-nest the  tuples and bag in the input dataset.

This video demonstrates how we can process a json file using pig functions

This video helps you to understand the basic building blocks of programming and java concepts

Basic building blocks of core java programming are explained in detail in video along with eclipseIDE environment usage

This video explains about inheritance,polymorphism,abstraction and encapsulation properties in java with sample hands on demo. Also interfaces are explained with an example program