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Best Hadoop Training in Bangalore by Industry Experts
Hadoop Admin Training & Certification Bangalore
Duration of Training : 32 hrs
| Mode | Duration | Start Date | End Date | ₹ Price | Book Seat |
|---|---|---|---|---|---|
| Online | 1 Day | 02/12/2023 | 02/12/2023 | ₹ 0.00 | Enquiry |
Introduction to big data, limitations of existing solutions
Hadoop architecture, Hadoop components and ecosystem
Data loading & reading from HDFS
Replication rules, rack awareness theory
Hadoop cluster administrator
Roles and responsibilitie
Understanding Big Data and Hadoop
Introduction to big data, limitations of existing solutions
Hadoop architecture, Hadoop components and ecosystem
Data loading & reading from HDFS
Replication rules, rack awareness theory
Hadoop cluster administrator
Roles and responsibilities
Hadoop server roles and their usage
Hadoop installation and initial configuration
Deploying Hadoop in a pseudo-distributed mode
Deploying a multi-node Hadoop cluster
Installing Hadoop Clients
Understanding working of HDFS and resolving simulated problems.
Understanding secondary name node
Working with Hadoop distributed cluster
Decommissioning or commissioning of nodes
Understanding MapReduce
Understanding schedulers and enabling them.
Common admin commands like Balancer
Trash, Import Check Point
Distcp, data backup and recovery
Enabling trash, namespace count quota or space quota, manual failover or metadata recovery.
Planning the Hadoop cluster
Cluster sizing, hardware
Network and software considerations
Popular Hadoop distributions, workload and usage patterns.
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Limitations of Hadoop 1.x
Features of Hadoop 2.0
YARN framework, MRv2
Hadoop high availability and federation
Yarn ecosystem and Hadoop 2.0 Cluster setup
Configuring Hadoop 2 with high availability
Upgrading to Hadoop 2
Working with Sqoop
Understanding Oozie
Working with Hive
Working with Hbase.
Hive administration, HBase architecture
HBase setup, Hadoop/Hive/Hbase performance optimization
Cloudera manager and cluster setup
Pig setup and working with grunt
Why Kerberos and how it helps.
IT folks who want to change their profile in a most demanding technology which is in demand by almost all clients in all domains because of below mentioned reasons-
Course completion certificate and Global Certifications are part of our all Master Program
Course completion certificate and Global Certifications are part of our all Master Program
Qubez University creates meaningful big data & Data Science certifications that are recognized in the industry as a confident measure of qualified, capable big data experts. How do we accomplish that mission? DataQubez certifications are exclusively hands on, performance-based exams that require you to complete a set of tasks. Demonstrate your expertise with the most sought-after technical skills. Big data success requires professionals who can prove their mastery with the tools and techniques of the Hadoop stack. However, experts predict a major shortage of advanced analytics skills over the next few years. At DataQubez, we’re drawing on our industry leadership and early corpus of real-world experience to address the big data & Data Science talent gap. How To Become Certified Big Data – Hadoop Administrator Certification Code – DQCP – 503 Certification Description – DataQubez Certified Professional Big Data – Hadoop Administrator
Radical Technologies is truly progressing and offer best possible services. And recognition towards Radical Technologies is increasing steeply as the demand is growing rapidly.
I researched a lot on the internet about training institutes offering quality big data Hadoop training. I saw a lot of positive reviews about Radicals, and their training videos.Knowing that this was in a perfect place to get my course done, I enrolled for the big data Hadoop course here.
Course Provider: Organization
Course Provider Name: Radical Technologies
Course Provider URL: https://radicals.in/
Radical Technologies is a recognized leader in training of Administrative and Soft ware Development courses since 1995 to empower IT individuals with competitive advantage of exploiting untapped jobs in IT sector
