Friday 16 August 2013
Big data training-free demo in uk
Our experience in utilizing cloud computing technologies for the needs of gurus and students has enabled us to develop a “State-of-the-Art” infrastructure for conducting these classes
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
Thursday 8 August 2013
Big data online training in UK | Big data online training in USA
Magnific training based in USA,UK,CANADA., MI is offering Big dta and Hadoop trainings and placement on various technologies. We welcome graduating students, entry level programmers and experienced IT Professionals who seek to further their careers with some advance technology training.
Visit: www.hadooponlinetraining.net
Custom AMIs for every class
Every class has its own custom AMI specifically developed by its guru. Typical bundled components of these AMIs include:
Hadoop
HDFS
Hbase
Hive
PIG
Cassanadra
Tomcat
Any Java based Web applications
Pre-loaded Sample Data
Every class has it’s sample data pre-loaded on Amazon S3 which is then copied into the Hadoop clusters, as they are generated for a class.
Auto Cluster Spin-up & Spin-down
We have a mechanism by which gurus configure & launch clusters on Amazon EC2, as per the requirements of a specific class.
Once the cluster is up & running, students get a custom URL which when accessed, re-directs the students to their specific cluster where they input their previously provided user names & passwords and access their own individual cluster. Students can now access the master node using SSH (browser-based or desktop client) to run & execute jobs & other lab works.
The clusters are automatically killed at the end of the session to ensure no cost over-runs on Amazon EC2 charges & ensure data integrity.
Students have a simple mechanism for uploading their class specific components, data sets into their own cluster & executing them on their own Master node.
Monitoring Systems
Gurus have access to a web-based monitoring systems which informs them about the health of all clusters currently operational for a specific class.
Error Reporting Console.
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
You can attend 1st 2 sessions for free. once you like the classes then you can go for registration.
or full course details please visit our website www.hadooponlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact
INDIA: +91-9052666559
USA: +1-6786933475
visit www.hadooponlinetraining.net
please mail us all queries to info@magnifictraining.com
Saturday 3 August 2013
Big data online training
Meet and Greet students – Online
Hadoop Setup – Support
magnifictraining.com – Overview
Visit: ww.magnifictraining.com
MapReduce
MapReduce Gen1 Architecture
JobTracker/TaskTracker
Combiner and shuffle
Counters
Speculative Execution
Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)
LAB #3: Sample Map Reduce Job Execution
Day 2: Introduction to Hadoop Ecosystem
Real-time I/O with HBase
HBase background
HBase Architecture
HBase core concepts
HBase vs. RDBMS
HBase Master and Region Servers
Data Modeling
Column Families and Regions
Bloom Filters and Block Indexes
Write Pipeline / Read Pipeline
Compactions
Performance Tuning
HBase GeoRedundancy, DR and Snapshots
LAB #4: Use HBase CLI to create databases and tune them.
Data Analytics via Hive
Hive philosophy and architecture
Hive vs. RDBMS
HiveQL and Hive Shell
Managing tables
Data types and schemas
Querying data
LAB #5: Analyzing data using Hive
Sqoop – Moving data between RDBMS and Hadoop
Data Processing through Sqoop
Understand Sqoop connectivity model with RDBMS
Using Sqoop example with real time data applications
LAB #6: Sqoop lab exercise.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website ww.magnifictraining.com
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact
INDIA: +91-9052666559
USA: +1-6786933994, 6786933475
visit www.magnifictraining.com
please mail us all queries to info@magnifictraining.com
Tuesday 30 July 2013
Hadoop | Big data | Training | United Kingdom
Magnific training aim at the Big Data training Insight Group is to provide a forum for our members, from across the business and IT spectrum, to come together and exchange ideas, expertise and best practice on big data training in UK. Our aim is to get beyond the technology and the hype.
Visit: www.magnifictraining.com
Extended Subjects on Hive & Pig
• Introduction to Apache Hive
• Getting data into Hive
• Hive’s architecture
• HiveQL
• Query execution
• Partitioning and bucketing
• Best practices
• Troubleshooting
• Introduction to Apache Pig
• Pig architecture
• Reading and writing data
• Pig Latin
• Advanced Pig Latin
• Debugging
• Best practices.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.hadooponlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact
INDIA: +91-9052666559
USA: +1-6786933994, 6786933475
visit www.magnifictraining.com
please mail us all queries to info@magnifictraining.com
Saturday 27 July 2013
Big data online training in Uk
Big Data Essentials Training Course in UK.
- Big Data Concepts
- What is big data?
- Big Data Technology landscape
- HADOOP
- HDFS
- Map Reduce
- Big Data use cases
- Big Data – Solution development
- Hive
- Pig
- Phython/Java
- Big Data – Low latency solutions development
- Hbase basics
- Developing solutions using Hbase
- Integrating Big Data solution with traditional data warehouse technologies
- Data science
- What is data science and machine learning?
- What is Mahout? – Mahout based machine learning solutions development e.g. Recommender/Relevance Systems, Sentiment analysis, and Campaign effectiveness
- Big Data Technology future landscape.
- You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
- or full course details please visit our website www.hadooponlinetraining.net
-
- Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
-
- * Resume preparation and Interview assistance will be provided.
- For any further details please contact
- INDIA: +91-9052666559
- USA: +1-6786933994
- +6786933475
- visit www.magnifictraining.com
- please mail us all queries to info@magnifictraining.com
Friday 26 July 2013
Big data training (www.magnifictraining.com)
Magnific training is offering four training courses in conjunction with Big data training in USA. These courses are only available to Hadoop Summit registrants.
Meet and Greet students – Online
Hadoop Setup – Support
Clusterstogo.com – Overview
Visit: www.magnifictraining.com
Day 1: Big Data, HDFS and MapReduce Primer
Intro to Hadoop
Parallel Computer vs. Distributed Computing
Brief history of Hadoop
RDBMS vs. Hadoop
Hadoop Cluster Architecture
Hadoop Daemons introduction: NameNode, DataNode, JobTracker, TaskTracker
Intro to the Hadoop ecosystem: HDFS, MapReduce, Pig, Hive, HBase, ZooKeeper
Vendor Comparison
Hardware and Software recommendations
Lab #1: Hadoop Installation based on CDH4 and SCM 4.6, Hadoop cluster specific operations and sample job execution
Deep Dive HDFS
Linux File system options
Sample HDFS commands
Data Locality
Rack Awareness
Write Pipeline
Read Pipeline
NameNode architecture
Secondary NameNode architecture
DataNode architecture
Heartbeats
Block Scanner
FSCK
Balancer
Name Node HA
MapReduce
MapReduce Gen1 Architecture
JobTracker/TaskTracker
Combiner and shuffle
Counters
Speculative Execution
Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)
LAB #3: Sample Map Reduce Job Execution
Day 2: Introduction to Hadoop Ecosystem
Real-time I/O with HBase
HBase background
HBase Architecture
HBase core concepts
HBase vs. RDBMS
HBase Master and Region Servers
Data Modeling
Column Families and Regions
Bloom Filters and Block Indexes
Write Pipeline / Read Pipeline
Compactions
Performance Tuning
HBase GeoRedundancy, DR and Snapshots
LAB #4: Use HBase CLI to create databases and tune them.
Data Analytics via Hive.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.magnifictraining.com
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact +91-9052666559 or
visit www.magnifictraining.com
please mail us all queries to info@magnifictraining.com
Meet and Greet students – Online
Hadoop Setup – Support
Clusterstogo.com – Overview
Visit: www.magnifictraining.com
Day 1: Big Data, HDFS and MapReduce Primer
Intro to Hadoop
Parallel Computer vs. Distributed Computing
Brief history of Hadoop
RDBMS vs. Hadoop
Hadoop Cluster Architecture
Hadoop Daemons introduction: NameNode, DataNode, JobTracker, TaskTracker
Intro to the Hadoop ecosystem: HDFS, MapReduce, Pig, Hive, HBase, ZooKeeper
Vendor Comparison
Hardware and Software recommendations
Lab #1: Hadoop Installation based on CDH4 and SCM 4.6, Hadoop cluster specific operations and sample job execution
Deep Dive HDFS
Linux File system options
Sample HDFS commands
Data Locality
Rack Awareness
Write Pipeline
Read Pipeline
NameNode architecture
Secondary NameNode architecture
DataNode architecture
Heartbeats
Block Scanner
FSCK
Balancer
Name Node HA
MapReduce
MapReduce Gen1 Architecture
JobTracker/TaskTracker
Combiner and shuffle
Counters
Speculative Execution
Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)
LAB #3: Sample Map Reduce Job Execution
Day 2: Introduction to Hadoop Ecosystem
Real-time I/O with HBase
HBase background
HBase Architecture
HBase core concepts
HBase vs. RDBMS
HBase Master and Region Servers
Data Modeling
Column Families and Regions
Bloom Filters and Block Indexes
Write Pipeline / Read Pipeline
Compactions
Performance Tuning
HBase GeoRedundancy, DR and Snapshots
LAB #4: Use HBase CLI to create databases and tune them.
Data Analytics via Hive.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.magnifictraining.com
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact +91-9052666559 or
visit www.magnifictraining.com
please mail us all queries to info@magnifictraining.com
Thursday 25 July 2013
Big data training UK
Big data/Hadoop course is designed for Administrators and Solution Architects who need to design, implement and support the WANdisco Distro in Enterprise environments.
Magnific training Offering Hadoop,Big data,Analytics training, located in Uk,USA,CANADA,AUSTRALIA.
Visit: www.magnifictraining.com
Hadoop Big Data Training on:
*Development
*Administration
*Architect Training Course
Course Outline:
What is Big Data & Why Hadoop?
Hadoop Overview & it’s Ecosystem
HDFS – Hadoop Distributed File System
Map Reduce Anatomy
Developing Map Reduce Programs
Advanced Map Reduce Concepts
Advanced Map Reduce Algorithms
Advanced Tips & Techniques
Monitoring & Management of Hadoop
Using Hive & Pig ( Advanced )
HBase
NoSQL
Sqoop
Deploying Hadoop on Cloud
Hadoop Best Practices and Use Cases.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.hadooponlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact +91-9052666559 or
visit www.magnifictraining.com
please mail us all queries to info@magnifictraining.com
Friday 19 July 2013
Big data Online Training UK | Online Big data Training UK
Cloudera Administrator Training for Apache Hadoop in United Kingdom(UK).
Magnific Training Providing Courses:
bigdata training administrators,cloudera bigdata administrator training,bigdata admin training,bigdata administration training,bigdata admin training,cloudera administrator training for apache hadoop,cloudera hadoop administrator training,cloudera hadoop admin training.
Course Summary
This 30days hands-on training course is for system administrators and others responsible for managing Apache Hadoop clusters in production or development environments.
How the Hadoop Distributed File System and MapReduce work
What hardware configurations are optimal for Hadoop clusters
What network considerations to take into account when building out your cluster
How to configure Hadoop's options for best cluster performance
How to configure NameNode High Availability
How to configure NameNode Federation
What system administration issues exist with other Hadoop projects such as Hive, Pig, and HBase
Prerequisites
This course is appropriate for system administrators who will be setting up or maintaining a Hadoop cluster. Basic Linux system administration experience is a prerequisite for this training session. Prior knowledge of Hadoop is not required.
Visit: www.bigdataonlinetraining.net
Hands-On Exercises
Throughout the course, hands-on labs help students build their knowledge and apply the concepts being discussed.
Certification Exam
Following successful completion of the training class, attendees will be given a voucher for one certification exam attempt. This voucher is non-transfearable and is given only to individuals who successfully complete the entire training class. Learn more about the CCAH certification exam.
Outline:
Introduction
The Case for Apache Hadoop
HDFS
Getting Data into HDFS
MapReduce
Planning Your Hadoop Cluster
Hadoop Installation and Initial Configuration
Installing and Configuring Hive, Impala, and Pig
Hadoop Clients
Cloudera Manager
Advanced Cluster Configuration
Hadoop Security
Managing and Scheduling Jobs
Cluster Maintenance
Cluster Monitoring and Troubleshooting
Conclusion.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.bigdataonlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact +91-9052666559 or
visit www.bigdataonlinetraining.net
please mail us all queries to info@magnifictraining.com
Thursday 18 July 2013
Big data training and placement | UK USA CANADA| Hadoop training
MAGNIFIC trainings are pioners in offering real time industrail experts hands on training on HADOOP BIG DATA online TRAINING.
HADOOP technologies like HADOOP, ADOBE, BIG DATA, analytics training, SAP through webex ,team viewer & skype to serve the requests coming from all over the world.
Course Contents:
1. Big Data
The problem space and example applications
Why don’t traditional approaches scale?
Requirements.
2. Hadoop Background
Hadoop History
The ecosystem and stack: HDFS, MapReduce, Hive, Pig…
Cluster architecture overview.
Visit: www.hadooponlinetraining.net
3. Development Environment
Hadoop distribution and basic commands
Eclipse development.
4. HDFS Introduction
The HDFS command line and web interfaces
The HDFS Java API.
5. MapReduce Introduction
Key philosophy: move computation, not data
Core concepts: Mappers, reducers, drivers
The MapReduce Java API.
6. Real-World MapReduce
Optimizing with Combiners and Partitioners
More common algorithms: sorting, indexing and searching
Relational manipulation: map-side and reduce-side joins
Chaining Jobs
Testing with MRUnit.
7. Higher-level Tools
Patterns to abstract “thinking in MapReduce”
The Cascading library
The Hive database.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.hadooponlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact +91-9052666559 or
visit www.magnifictraining.com
please mail us all queries to info@magnifictraining.com
Wednesday 17 July 2013
Big data online training in uk | Hadoop online training uk
"MAGNIFIC TRAINING Education Services offers IT training and certification for storage administration, cloud architect and ITaaS, data science, and big data analytics,Hadoop online training."
Big Data Analytics Training Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. What You will Learn Unleash the power of Big Data! Enhance big data analytics skills Enrich analytic skills Key Roles Phases of Life cycle process Key Deliverables to stakeholders Audience.
Visit: www.bigdataonlinetraining.net
Application Developers Business Analysts BI / Data warehouse Developers Technical Consultants Enterprise Architects Technical Project Managers Prerequisites Suggested Prerequisites – Relational Database concepts, Data Warehousing concepts, RDMS, OLTP, OLAP, ROLAP, MOLAP, Star Schema, Facts, Dimensions etc. Course Objectives Explain the concepts of Big Data and related technologies Understand What is Big Data Big Data Market – Big Picture Big Data Tools Big Data – Reference Architectures Big Data Solutions.You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.bigdataonlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
* Resume preparation and Interview assistance will be provided.
For any further details please contact +91-9052666559 or
visit www.bigdataonlinetraining.net
please mail us all queries to info@magnifictraining.com
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