BIG DATA &

HADOOP VIJAYAWADA

100+ HOURS OF TRAINING | HANDS-ON 10+ TOOLS

BEPEC ACHIEVEMENTS

Big Data & hadoop course been one of our flagship course across different branches and different places we are operating. On an average 10-15 people get placed on Big Data job roles every month. 

More than 1000+ Students are working on Data Engineering roles in MNC's across the globe. BEPEC majorly focus on Career transition of professional who steps into course with us. BEPEC less care about top certification tie up's and more focuses on tie up's with MNC's for faster career transitions.

Once in a month we share success stories of our Big Data participants who got placed into their job roles. What was the experience while learning? How they finally made it, their challenges as non programmers. 

How our Big Data masters program helping them to learn either via online or classroom? Stay tuned with BEPEC to know about this.

WHAT PEOPLE SAYS?

— ROHAN

Placement guidance helped me alot to get succed in my career thanks BEPEC

ONLINE

100+ HOURS OF LIVE MENTOR DRIVEN BIG DATA & HADOOP ONLINE TRAINING PROGRAM WITH 10+ LARGE SCALE DATA ENGINEERING REAL TIME PROJECTS(Can be included in Project Experience in Resume)

E-LEARNING

100+ HOURS OF E-Learning DRIVEN BIG DATA & HADOOP ONLINE TRAINING PROGRAM WITH 10+ LARGE SCALE DATA ENGINEERING REAL TIME PROJECTS(Can be included in Project Experience in Resume)

CORPORATE

100+ HOURS OF CORPORATE DRIVEN BIG DATA & HADOOP ONLINE TRAINING PROGRAM WITH 10+ LARGE SCALE DATA ENGINEERING REAL TIME PROJECTS(Can be included in Project Experience in Resume)

Big Data & Hadoop Training

Big Data Hadoop Training been one of the on demand training we are providing. Demand of
Big Data engineers increased nearly to 344% since 2013. Year over year companies are
allocating huge amount of budget for Big Data Engineers and expected growth of 34% year
over year for Big Data Jobs. When we think about new technology or new career, we always
think about how to get placed in Big Data? Anyone can do Big Data Training or Big Data
Hadoop Course but how to get placed on Big Data Hadoop is the question mark.

 

The major reason behind majority of the professionals, if I learn this Big Data Hadoop
course, can I get better salary than what I’m currently drawing? Can I sustain in new
technology? How can I get project experience on Big Data Hadoop? How to do career
transition to Big Data Hadoop? How to get placed after the course? What is the real time job
profile of Big Data Hadoop Engineer? Can I see long term growth on Big Data Hadoop? All
these questions make professionals to take a back step.

 

We got the answer for all these questions, BEPEC just require your effort to learn and
master what we teach. Rest of the things related to job going to be taken care by BEPEC. We
trust in career transition. We don’t trust in Big Data Hadoop Training, but we believe in Big
Data Hadoop Training and Placement.

 

We can see nearly 99% Career transition rate in BEPEC Students. BEPEC and our trainers
provide you everything what is required to get job on Big Data Hadoop and make your
journey smooth and we build confidence to work on any challenging real time projects on
Big Data Hadoop. We hope for career transition, if you join with BEPEC. All the best!!!

Agenda
 

Big Data


  • Distributed computing
  • Data management – Industry Challenges
  • Overview of Big Data
  • Characteristics of Big Data
  • Types of data
  • Sources of Big Data
  • Big Data examples
  • What is streaming data?
  • Batch vs Streaming data processing
  • Overview of Analytics
  • Big data Hadoop opportunities




Hadoop


  • Why we need Hadoop
  • Data centres and Hadoop Cluster overview
  • Overview of Hadoop Daemons
  • Hadoop Cluster and Racks
  • Learning Linux required for Hadoop
  • Hadoop ecosystem tools overview
  • Understanding the Hadoop configurations and Installation.




HDFS (Storage)


  • HDFS
  • HDFS Daemons – Namenode, Datanode, Secondary Namenode
  • Hadoop FS and Processing Environment’s UIs
  • Fault Tolerant
    • High Availability
    • Block Replication
  • How to read and write files
  • Hadoop FS shell commands




YARN (Hadoop Processing Framework)


  • YARN
  • YARN Daemons – Resource Manager, NodeManager etc.
  • Job assignment & Execution flow




Apache Hive


  • Data warehouse basics
  • OLTP vs OLAP Concepts
  • Hive
  • Hive Architecture
  • Metastore DB and Metastore Service
  • Hive Query Language (HQL)
  • Managed and External Tables
  • Partitioning & Bucketing
  • Query Optimization
  • Hiveserver2 (Thrift server)
  • JDBC , ODBC connection to Hive
  • Hive Transactions
  • Hive UDFs
  • Working with Avro Schema and AVRO file format




Apache Pig


  • Apache Pig
  • Advantage of Pig over MapReduce
  • Pig Latin (Scripting language for Pig)
  • Schema and Schema-less data in Pig
  • Structured , Semi-Structure data processing in Pig
  • Pig UDFs
  • HCatalog
  • Pig vs Hive Use case




Sqoop


  • Apache Pig
  • Advantage of Pig over MapReduce
  • Pig Latin (Scripting language for Pig)
  • Schema and Schema-less data in Pig
  • Structured , Semi-Structure data processing in Pig
  • Pig UDFs
  • HCatalog
  • Pig vs Hive Use case




Flume


  • Flume commands
  • Configuration of Source, Channel and Sink
  • Fan-out flume agents
  • How to load data in Hadoop that is coming from web server or other storage
  • How to load streaming data from Twitter data in HDFS using Hadoop




Oozie


  • Oozie
  • Action Node and Control Flow node
  • Designing workflow jobs
  • How to schedule jobs using Oozie
  • How to schedule jobs which are time based
  • OozieConf file




Scala


  • Scala
    • Syntax formation, Datatypes , Variables
  • Classes and Objects
  • Basic Types and Operations
  • Functional Objects
  • Built-in Control Structures
  • Functions and Closures
  • Composition and Inheritance
  • Scala’s Hierarchy
  • Traits
  • Packages and Imports
  • Working with Lists, Collections
  • Abstract Members
  • Implicit Conversions and Parameters
  • For Expressions Revisited
  • The Scala Collections API
  • Extractors
  • Modular Programming Using Objects




Spark


  • Spark
  • Architecture and Spark APIs
  • Spark components
    • Spark master
    • Driver
    • Executor
    • Worker
    • Significance of Spark context
  • Concept of Resilient distributed datasets (RDDs)
  • Properties of RDD
  • Creating RDDs
  • Transformations in RDD
  • Actions in RDD
  • Saving data through RDD
  • Key-value pair RDD
  • Invoking Spark shell
Loading a file in shell





Schedule
 

ONLINE BIGDATA WORLDWIDE 8TH MAY-19

100 HOURS TRAINING

NO OF TRAINERS

            1

LAPTOPS

REUIRED

ASSIGNMENTS

          15+

PLACEMENT GUIDANCE

               YES

LIVE PROJECTS

            3+

ONLINE BIGDATA WORLDWIDE 13TH MAY-19

100 HOURS TRAINING

NO OF TRAINERS

            1

LAPTOPS

REUIRED

ASSIGNMENTS

          15+

PLACEMENT GUIDANCE

               YES

LIVE PROJECTS

            3+

ONLINE BIGDATA WORLDWIDE 15TH MAY-19

100 HOURS TRAINING

NO OF TRAINERS

            1

LAPTOPS

REUIRED

ASSIGNMENTS

          15+

PLACEMENT GUIDANCE

               YES

LIVE PROJECTS

            3+

ONLINE BIGDATA WORLDWIDE 20TH MAY-19

100 HOURS TRAINING

NO OF TRAINERS

            1

LAPTOPS

REUIRED

ASSIGNMENTS

          15+

PLACEMENT GUIDANCE

               YES

LIVE PROJECTS

            3+

ONLINE BIGDATA WORLDWIDE 22ND MAY-19

100 HOURS TRAINING

NO OF TRAINERS

            1

LAPTOPS

REUIRED

ASSIGNMENTS

          15+

PLACEMENT GUIDANCE

               YES

LIVE PROJECTS

            3+

FAQ'S
 

PC

Existe-t-il une version Démo Evotech


Il n'existe pas de version démo Evotech, il est par contre possible de faire une Web-démo sur demande. Le site référence aussi beaucoup de captures écran. Courant 2018, il sera mis à disposition de petites vidéo sous forme de tuto.




Quel versions de Windows sont supportés


-Windows 7 à Windows 10 -Windows Serveur 2008 à 2014




Support TSE (bureau à distance)


Oui Evotech PC fonctionne dans les sessions Windows TSE





Android

Impossible d'installer Evotech


Evotech est disponible sur Google Play. Si vous ne parvenez pas à l'installer ceci est du au service "Google Play" désactivé sur le périphérique. Si vous ne trouvez pas Evotech-Pro V3 sur Google Play cest que votre périphérique n'est pas compatible.




Quel est l'adresse du serveur Evotech à renseigner sur les tablettes


L'adresse de votre serveur est en fait l'adresse IP public attribué par votre FAI Le Nom d'utilisateur et le mot de passe sont ceux que vous avez spécifiez sur l'installation de votre base de données.




Certaines Interventions ne sont pas remontés au bureau


Evotech effectue les synchronisations en mode Différentiel. Ceci est basé sur la date/heure de dernière synchro... Dans de rare cas, une intervention peut ne pas être remonté correctement sur votre serveur. Dans ce cas il est possible de forcer la Date/heure de dernière synchro sur le mobile en remplacent par exemple "10/02/2018 16:20:45" par "07/02/2018 __:__:__" si l'intervention en question a était faite le 08/02/2018




Impossible de synchroniser => Message d'erreur


Ceci peut se produire pour 3 raisons 1) Mise à jour déployée automatiquement sur Android mais Mise à jour application PC non effectuée. 2) Connexion Internet indisponible 3) Serveur non connecté à Internet





Général

Quels sont les pré-requis pour Evotech


1) Une adresse IP Fixe 2) Un Serveur ou un PC allumé en permanence 3) Un accès à la configuration du routeur 4) Système mobile Android uniquement




Est'il possible d'utiliser un Iphone


Non Evotech ne peut fonctionner que sur PC et périphériques Android (Smartphone & Tablette)




Pas d'abonnement ?


Effectivement Evotech est fourni en mode licence traditionnel il n'y a aucun Abonnement.




Ou sont mes données


Vos données sont exclusivement sur votre infrastructure. Aucunes de vos données ne sont stockées dans le Cloud. C'est une communication directe entre vos mobiles Android et votre base de données hébergé sur votre Serveur.




Evotech sur serveur hébergé chez un opérateur ?


Oui Evotech fonctionne sans problème sur un serveur loué à un hébergeur. Il est possible d'y stocker que la base de données ou la base plus l'application PC.





 
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Reviews
 
Karan

I took 'Big Data and Hadoop' course in BEPEC .It covers all concepts (HDFS,Map Reduce,Pig,Hive,Hbase,Spark,Flume,Sqoop etc.) We are given a cluster to work

Rohan

Placement guidance helped me alot to get succed in my career thanks BEPEC

Arjun

Their teaching helped me to understand the hadoop easily

Mahesh

Excellence teaching... Super guidence to get job.. Full tech support..

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