Online Hadoop Training | Best Hadoop Online Training in Hyderabad

Introduction to Hadoop 

Hadoop builds on a massive file system (Google File System or GFS) and a parallel application model (Map Reduce) originally developed at Google. Google has an unbelievable number of servers compared to typical large enterprises (in all likelihood more than a million). Search is a relatively easy task to parallelize: many search requests can be run in parallel because they only have to be loosely synchronized (the same search done at the same time doesn’t have to get exactly the same response).Hadoop Online Training In Hyderabad

GFS was developed as a file system for applications running at this scale. Map Reduce was developed as a means of performing data analysis using these resources.Hadoop Online Training

Hadoop is an Open Source re implementation of GFS and Map Reduce  Google’s systems run a unique and proprietary software “stack” so no one else could run Google’s MapReduce even if Google permitted it. Hadoop is designed to run on a  conventional LINUX stack.    Google  has  encouraged the  development of Hadoop, recognizing the value in a broader population of people trained in the methodology and tools. Much of the development of Hadoop has been driven by Yahoo!. Yahoo! is also a large Hadoop user, internally running a cluster of more than 40,000 servers.online hadoop training

Operationally we talk about a Hadoop “cluster”: a set of servers dedicated to a particular instance of Hadoop that may consist of just a few to the clusters of more than 4,000 servers in use at Yahoo!.Hadoop Online Training

Today a typical Hadoop server might be two sockets, a total of 8 cores (two 4- core servers), 48 GB of DRAM, and 8-16 directly attached disks, typically cost- per-byte optimized (e.g., 2 or 3 TB 3.5” SATA drives). When implemented with high-volume commodity technology, the majority of the server cost is the disk drive complement, and each server will have 20-50 TB of storageHadoop Online Training.

Hadoop Online Training In hyderabad | Online Hadoop Training In India

                                                            Best Hadoop Training Institute

Suntrainings Is a Best Online Training Center In Hyderabad. We are Providing Best Online Training on Hadoop.

Highlights in our training:

*   Very in depth course material with real time scenarios.

*   We are providing class with highly qualified trainer.

*   We will provide class and demo session at student flexible timings.

*   In training case studies and real time scenarios covered.

*   We will give 24*7 technical supports.

*   Each topic coverage with real time solutions.

*   We are providing normal track, weekend, fast track classes.

*   We will give every recorded session for play later.

*   We are giving placement support by multiple consultancies in INDIA, USA, Australia, and UK etc.

* We are providing certification oriented training's with 100% pass guarantee.

* We will give full support while attending the interviews and contact me any time after completion of the course.

BIGDATA: Every day we create 2.5 peta bytes of data - so 90% of the data in the world wide today has been created in the last 2 years alone. Hadoop Online Training This much data comes from everywhere: like sensors used to gather climate information, a post to social media sites and digital pictures and videos and purchase transaction records, and cell phoneGPS signals to name a few. This data is BIG DATA.

HADOOP: Is a biggest frame work to process petabytes of data in a faster and efficient manner. Hadoop supports both structured and unstructured data.Whereas Data Warehouse and currently popular BI Systems supports only structured data. That too digging data from huge quantity of data is really causes high latency in the traditional data warehouse.

HDFS: is a distributed file system in Hadoop Frame work.     

The HDFS architecture enables organizations to store bulk volumes of structured and unstructured data.

Example: for unstructured data is …, Email messages, email server logs, face book messages, web log database log, images, videos, audios etc.

Map Reduce…> Map Reduce is a framework, to distribute the work in to tasks across multiple nodes…., and enables the system to process all tasks parallel and collect results in good speed.

PIG: Is a data flow language in Hadoop Environment and it writes hidden Map Reduce code when the pig minimized code compiled. (Ex: instead of writing 100 lines of JAVA Map Reduce Code, you can achieve it by simplified script of PIG in 10 Lines)Hadoop Online Training

HIVE: is Data Warehouse in Hadoop frame work

HIVEQL (Hive Query Language) is used, Similar to Sql of  RDBMS but slight differences are there.

HBASE: Is columnar databases is Hadoop Frame Work

SQOOP… Used for database connections, same style we export data from Hadoop to databases also.

NoSql: Is a beautiful concept, to work with bulk data aggregations. Bcoz, in NoSql we store rows as columns. Hadoop Online Training