Big Data Analytics Implementation Expert (Hadoop, Spark, Cloud Computing)
What is Hadoop ?
Hadoop is an open-source software framework for storing datas and many running
applications on clusters of commodity hardwares. It provides the massive storage for any
kind of datas, enormous processing power and the ability to maintain virtually limitless
concurrent tasks or jobs.
Topics Covered
► Hadoop and Friends: Java/Python/Scala, Apache Hadoop, HDFS, Map Reduce, SQL, MySQL, Data Ware House, HBase, Pig, Hive, Oozie, Sqoop, Flume,Zookeeper, Junit/unittest, Git, PIP/Maven, Linux Commands and Shell Scripts
► Spark Data Pipeline: Spark, PySpark Spark-SQL, Spark-Streaming, Spark-ML, Machine Learning, Regressions, (Linear, Multi-Linear, Logistic), Clustering, K-Mean, KNN, NaiveBayes, Classification, Decision Trees, Random Forest
► Cloud Computing, AWS Hosting and Deployment, EC2, IAM, LSB, Load Balancer (LBS), Availability Group, Security Configuration, Docker, Kubernetes,
► New Gen Big Data Tools: Mahout, Recommendation, Storm, Flink, Samza,SAMOA, Apex, Beam, Tez: (as Per Batch conditions)
Course time in keywords technology
► Duration: 4 to 5 month
► MBigdata Project (6 Modules)
► After Completing spark Interview Scheduling
► Live Mock Test and interview Questions
► Practical Oriented Training
Python 3.0
Do you want to learn Programming in a fun way that is the fastest growing Programming which is Python. Python is so much of famous because of lots of reason in terms of areas using it. When we talk about Machine Learning , GUI, Software development, Web development etc. Python is programming language and it is also a interpreted, Object oriented, High level language. Python is actually an old language and it came into picture 1989. Latest version of Python is Python 3.0 released on December 2008.
Bigdata Hadoop
The data which is used beyond to storage capacity or beyond to processing is called it as BIGDATA. As per IBM Bogdata is volume, velocity, variety. Hadoop is a framework that allows us to store and process large datasets in parallel and distributed passion. Hadoop has two components HDFS (Storage) and MapReduce (Processing). Storage unit of hadoop is a distributed file system
Hbase
HBase is a NoSQL database. HBase is a column oriented database management system delivered from google’s NoSql database Big Table that runs on the top of HDFS. HBase is a open source project that is horizontally scaleable. NoSQL database written in java which perform faster querying. Hbase is used in medical, E commerce, Sports related applications. Hbase works well with structured and semi structured data. HBase can have de-normalized data (can contain missing or NA values)
Apache PIG
Apache Pig is an open source high level dataflow system and it introduced by yahoo. Pigs gives your way using which you can write simple query and these queries are converted into map reduce programme by apache pig tool and map reduce is executed in the hadoop cluster and the result is send back to the client. The two main components of Pig is Pig Latin language and pig execution. How Pig will helping you means instead of wring map reduce programme pig latin will write.
Sqoop
Sqoop helped in overcoming all the challenges to traditional approach and could load bulk data from RDBMS to Hadoop very easily. Sqoop is a tool to transfer bulk data between hadoop and external data stores such as relational databases (My SQL, MS Sql Server). Sqoop=SQL+Hadoop. Sqoop uses YARN Frame work to import and export data. This provided fault tolerance on top of parallelism. Sqoop can load the whole table or parts of the table by a single command. Hence it is support full and incremental load
Git & GitHub
Git is created by Linus Torvald. Git is actually distributed version control system. GIT is actally baesd on SCM (Source Code Management) . Before Git people are using Centralized version Control System but now we are using Distributed Version Control System.
Spark
Apache spark is a lightning fast cluster computing technology that is designed for fast computation. The main feature of spark is in memory cluster computing and increase the speed of application. Spark comes with user friendly API for scala , java, python and Spark SQL.
AWS Cloud
Amazon Web Services is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
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