Best Hadoop and Amazon Online Training
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This training course provides an in-depth overview of Hadoop and Amazon Web Services MapReduce. It covers Hadoop architecture and components like HDFS, MapReduce, YARN and Hadoop ecosystem projects. Exercises include hands-on with Hadoop cluster setup in single and multi-node modes, loading and processing data using MapReduce, Hive, Pig and HBase. The course also discusses deploying Hadoop clusters, administration, use cases, cloud computing with Hadoop and certification preparation.
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Hadoop online training by certified trainer
This document outlines the topics that will be covered in a training course on Hadoop and Amazon Web Services MapReduce. The course will provide exercises on setting up Hadoop clusters, loading and processing data with MapReduce, Hive, Pig, and HBase. It will also cover deploying Hadoop on AWS and integrating AWS services. Additional topics include the Hadoop ecosystem, cluster administration, use cases, and preparing for Hadoop certification exams.
Hadoop online training
This document outlines the topics and exercises covered in a Hadoop and Amazon Web Service-Map Reduce Complete Training course. The course covers: 1) an introduction to Hadoop and its architecture; 2) HDFS and MapReduce programming; 3) Hadoop Streaming and Amazon MapReduce; 4) the Hadoop ecosystem including Hive, Pig, HBase, Sqoop, Flume, and Oozie; 5) Hadoop deployment, administration, and cluster configuration; 6) business cases for using and not using Hadoop; 7) Hadoop and cloud computing on AWS; and 8) certification exam preparation. Hands-on exercises include Hadoop VM setup, HDFS data loading/unloading, AWS MapReduce
Hadoop and aws short
This document outlines the details of a Hadoop and Amazon Web Services MapReduce training course, including exercises on Hadoop virtual machine setup, HDFS data loading and unloading, Amazon MapReduce setup, and Pig, Hive, HBase, and MapReduce examples. The course covers Hadoop architecture, HDFS, MapReduce programming, Hadoop streaming, Amazon MapReduce, the Hadoop ecosystem, deployment, administration, use cases, and integration with cloud computing. It provides exam preparation help and certification materials for Cloudera certifications, and lists contact information for the training provider.
Hadoop online training course
Certified Hadoop Professional
Schedule: Flexible. Weekdays/Weekends. 1-2 Hours per day.
Price: $499
Contact: training@bigdataexpert.com
Hadoop online trainings
Geek Trainings started by a group of Trainers and HR Specialists team is truly a pioneer in the field of Training on different technologies with a proven track record of successfully undertaking Corporate, Class Room and Online Trainings with brilliant and qualitative professionals Trainers in multifarious positions in the ever-expanding arena of Information Technology ( IT ) in India.
Big-Data Hadoop Tutorials - MindScripts Technologies, Pune
MindScripts Technologies, is the leading Big-Data Hadoop Training institutes in Pune, providing a complete Big-Data Hadoop Course with Cloud-Era certification.
RAPIDS, GPUs & Python - AWS Community Day Melbourne
This document discusses GPU accelerated data analysis and machine learning using RAPIDS. It summarizes that Moore's Law is slowing down CPU performance gains, while GPUs excel at parallel workloads suited for machine learning. It introduces RAPIDS as an open source project providing libraries like cuDF, cuIO and cuML to enable the entire data science process on GPUs from data ingestion to modeling. RAPIDS aims to provide a Python ecosystem for data science on GPUs in a scalable way across multiple GPUs, CPUs and nodes to accelerate workflows.
Introduction to Apache Hivemall v0.5.2 and v0.6
This document discusses Apache Hivemall, an open-source machine learning library for SQL-on-Hadoop. It can be used with Apache Hive, Spark SQL, Spark DataFrame API, and Pig Latin to add machine learning capabilities to SQL queries. The presentation describes Hivemall's capabilities, how it works with different SQL query engines, and new features in versions 0.5.2 and 0.6 like field-aware factorization machines, XGBoost support, and word2vec. Future work is also outlined, including multi-class logistic regression and hyperparameter tuning.
Recommended
Hadoop online training by certified trainer
This document outlines the topics that will be covered in a training course on Hadoop and Amazon Web Services MapReduce. The course will provide exercises on setting up Hadoop clusters, loading and processing data with MapReduce, Hive, Pig, and HBase. It will also cover deploying Hadoop on AWS and integrating AWS services. Additional topics include the Hadoop ecosystem, cluster administration, use cases, and preparing for Hadoop certification exams.
Hadoop online training
This document outlines the topics and exercises covered in a Hadoop and Amazon Web Service-Map Reduce Complete Training course. The course covers: 1) an introduction to Hadoop and its architecture; 2) HDFS and MapReduce programming; 3) Hadoop Streaming and Amazon MapReduce; 4) the Hadoop ecosystem including Hive, Pig, HBase, Sqoop, Flume, and Oozie; 5) Hadoop deployment, administration, and cluster configuration; 6) business cases for using and not using Hadoop; 7) Hadoop and cloud computing on AWS; and 8) certification exam preparation. Hands-on exercises include Hadoop VM setup, HDFS data loading/unloading, AWS MapReduce
Hadoop and aws short
This document outlines the details of a Hadoop and Amazon Web Services MapReduce training course, including exercises on Hadoop virtual machine setup, HDFS data loading and unloading, Amazon MapReduce setup, and Pig, Hive, HBase, and MapReduce examples. The course covers Hadoop architecture, HDFS, MapReduce programming, Hadoop streaming, Amazon MapReduce, the Hadoop ecosystem, deployment, administration, use cases, and integration with cloud computing. It provides exam preparation help and certification materials for Cloudera certifications, and lists contact information for the training provider.
Hadoop online training course
Certified Hadoop Professional
Schedule: Flexible. Weekdays/Weekends. 1-2 Hours per day.
Price: $499
Contact: training@bigdataexpert.com
Hadoop online trainings
Geek Trainings started by a group of Trainers and HR Specialists team is truly a pioneer in the field of Training on different technologies with a proven track record of successfully undertaking Corporate, Class Room and Online Trainings with brilliant and qualitative professionals Trainers in multifarious positions in the ever-expanding arena of Information Technology ( IT ) in India.
Big-Data Hadoop Tutorials - MindScripts Technologies, Pune
MindScripts Technologies, is the leading Big-Data Hadoop Training institutes in Pune, providing a complete Big-Data Hadoop Course with Cloud-Era certification.
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This document discusses GPU accelerated data analysis and machine learning using RAPIDS. It summarizes that Moore's Law is slowing down CPU performance gains, while GPUs excel at parallel workloads suited for machine learning. It introduces RAPIDS as an open source project providing libraries like cuDF, cuIO and cuML to enable the entire data science process on GPUs from data ingestion to modeling. RAPIDS aims to provide a Python ecosystem for data science on GPUs in a scalable way across multiple GPUs, CPUs and nodes to accelerate workflows.
Introduction to Apache Hivemall v0.5.2 and v0.6
This document discusses Apache Hivemall, an open-source machine learning library for SQL-on-Hadoop. It can be used with Apache Hive, Spark SQL, Spark DataFrame API, and Pig Latin to add machine learning capabilities to SQL queries. The presentation describes Hivemall's capabilities, how it works with different SQL query engines, and new features in versions 0.5.2 and 0.6 like field-aware factorization machines, XGBoost support, and word2vec. Future work is also outlined, including multi-class logistic regression and hyperparameter tuning.
Day1_23Aug.txt - Notepad
This document contains introductions from participants of a Hadoop Admin course. It discusses their backgrounds, qualifications, and reasons for interest in Hadoop. The document also outlines the course topics including Hadoop concepts, HDFS, MapReduce, installation, and ecosystems. Common data types and reading materials are also listed.
Hadoop_Admin_eVenkat
This document provides an overview of a 30-hour training on Apache Hadoop administration. The training aims to give participants a comprehensive understanding of installing, configuring, operating and maintaining an Apache Hadoop cluster. Participants will learn how to install Hadoop clusters, configure components like HDFS, MapReduce and YARN, load and manage data, configure security and high availability, monitor performance, and troubleshoot issues. The course covers both theoretical concepts and hands-on exercises using tools like Cloudera and Hortonworks distributions, and includes topics like planning hardware, basic administration, advanced configuration, and managing related projects like Hive and Pig.
Big data and tools
It is just a basic slides which will give you normal point of view of the big data technologies and tools used in the hadoop technology
It is just a small start to share what I have to share
Bn1028 demo hadoop administration and development
The document is an introduction to Hadoop administration and development training. It discusses big data challenges and how Hadoop provides a framework to process and analyze large datasets across clusters of commodity hardware. Specifically, it covers what Hadoop is and its ecosystem including HDFS, MapReduce, Pig, Hive, HBase and other related technologies. It also discusses use cases, architecture, benefits and how companies are using Hadoop to solve big data problems.
Cred_hadoop_presenatation
This document discusses big data and how Hadoop solves big data problems. It first describes where big data comes from and the challenges of big data's size, unstructured nature, and analysis. It then explains how Hadoop uses a cluster of machines to handle unstructured data at scale through horizontal scaling. Finally, it provides examples of how Hadoop can help solve problems in retail and manufacturing by analyzing large amounts of diverse data.
Best hadoop-online-training
Hadoop Online Training : kelly technologies is the bestHadoop online Training Institutes in Bangalore. ProvidingHadoop online Training by real time faculty in Bangalore.
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The document discusses Hive, a system for managing and querying large datasets stored in Hadoop. It describes how Hive provides a familiar SQL-like interface, simplifying Hadoop programming. The document also outlines how Facebook uses Hive and Hadoop for analytics, with over 4TB of new data added daily across a large cluster.
Facebook Hadoop Data & Applications
This document discusses Facebook's use of Hadoop and Hive for storing and analyzing large amounts of user-generated data. Key points include:
- Facebook stores petabytes of user data including statuses, photos, videos in its Hadoop/Hive warehouse and other Hadoop clusters.
- The data is used for business intelligence to inform strategies and decisions, and power artificial intelligence like recommendations and ads optimization.
- Hive is used for ad hoc querying, building machine learning models at scale, and performing text analytics on large corpora.
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Hadoop_Architect__eVenkat
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Hadoop_RealTime_Processing_eVenkat
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HADOOP ONLINE TRAINING
For Free Demo Please Contact
AcuteSoft:
India: +91-9848346149, +91-7702226149
Land Line: +91 (0)40 - 42627705
USA: +1 973-619-0109, +1 312-235-6527
UK : +44 207-993-2319
skype : acutesoft
email : info@acutesoft.com
www.acutesoft.com
http://training.acutesoft.com
Hadoop online training
The document provides an overview of the best Hadoop online training course offered by Kellytechno. The training covers fundamental Hadoop concepts like HDFS, MapReduce, and Hadoop cluster architecture. It also covers advanced topics such as Hive, Pig, HBase, Sqoop and Oozie. The training is led by technical experts and provides hands-on practice in installing, configuring and developing applications on Hadoop. The goal is to help students learn Hadoop and become proficient in using the technology.
Hadoop introduction
Hadoop is an open-source software platform for distributed storage and processing of large datasets across clusters of computers. It was designed to scale up from single servers to thousands of machines, with very high fault tolerance. The document outlines the history of Hadoop, why it was created, its core components HDFS for storage and MapReduce for processing, and provides an example word count problem. It also includes information on installing Hadoop and additional resources.
Introduction to Apache Hadoop
Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of commodity servers. It was designed to scale up from single servers to thousands of machines, with very high fault tolerance. Hadoop features two main components - the Hadoop Distributed File System (HDFS) for storage, and MapReduce for distributed processing of large datasets in a parallel and distributed manner. Hadoop saw widespread adoption for applications such as log analysis, data mining, and large-scale graph processing.
Hadoop
This document discusses big data tools like Hadoop and Tableau. It explains that Hadoop is an open source framework written in Java that allows for data storage, processing, analysis, and visualization. The core components of Hadoop that enable these functions are HDFS, MapReduce, Hive, Pig, Sqoop, and HBase. It also mentions setting up Cloudera on a Linux operating system and notes that learning Hadoop can provide various career opportunities.
Hadoop and aws short
This document outlines the details of a Hadoop and Amazon Web Services MapReduce training course, including exercises on Hadoop virtual machine setup, HDFS data loading and unloading, Amazon MapReduce setup, and Pig, Hive, HBase, and MapReduce examples. The course covers Hadoop architecture, HDFS, MapReduce programming, Hadoop streaming, Amazon MapReduce, the Hadoop ecosystem, deployment, administration, use cases, and integration with cloud computing. It provides exam preparation help and certification materials for Cloudera certifications, and lists contact information for the training provider.
Lecture 2 Hadoop.pptx
This document provides an introduction and overview of Hadoop. It outlines the learning objectives which are to understand the features of Hadoop including HDFS, MapReduce, and the Hadoop ecosystem. The agenda then covers key topics like the history of Hadoop, its components, architecture, and use cases. HDFS architecture and operations are discussed along with MapReduce programming. Finally, it briefly introduces other Hadoop ecosystem projects like Pig, Hive, HBase and Sqoop.
Big-Data Hadoop Training Institutes in Pune | CloudEra Certification courses ...
MindScripts is the best Big-Data Hadoop Training Institute/Center in Pune providing complete courses including Cloudera, Hortonworks, HDFS, MapReduce, Pig, Hive, Sqoop, ZooKeeper. The course is designed keeping CloudEra Certification syllabus in mind.
Hadoop a Natural Choice for Data Intensive Log Processing
Hadoop Architecture, Components and few Design Samples of Web Systems which utilizes them in real sense! Enjoy !!
Hadoop content
This 40-hour course provides training to become a Hadoop developer. It covers Hadoop and big data fundamentals, Hadoop file systems, administering Hadoop clusters, importing and exporting data with Sqoop, processing data using Hive, Pig, and MapReduce, the YARN architecture, NoSQL programming with MongoDB, and reporting tools. The course includes hands-on exercises, datasets, installation support, interview preparation, and guidance from instructors with over 8 years of experience working with Hadoop.
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Day1_23Aug.txt - Notepad
This document contains introductions from participants of a Hadoop Admin course. It discusses their backgrounds, qualifications, and reasons for interest in Hadoop. The document also outlines the course topics including Hadoop concepts, HDFS, MapReduce, installation, and ecosystems. Common data types and reading materials are also listed.
Hadoop_Admin_eVenkat
This document provides an overview of a 30-hour training on Apache Hadoop administration. The training aims to give participants a comprehensive understanding of installing, configuring, operating and maintaining an Apache Hadoop cluster. Participants will learn how to install Hadoop clusters, configure components like HDFS, MapReduce and YARN, load and manage data, configure security and high availability, monitor performance, and troubleshoot issues. The course covers both theoretical concepts and hands-on exercises using tools like Cloudera and Hortonworks distributions, and includes topics like planning hardware, basic administration, advanced configuration, and managing related projects like Hive and Pig.
Big data and tools
It is just a basic slides which will give you normal point of view of the big data technologies and tools used in the hadoop technology
It is just a small start to share what I have to share
Bn1028 demo hadoop administration and development
The document is an introduction to Hadoop administration and development training. It discusses big data challenges and how Hadoop provides a framework to process and analyze large datasets across clusters of commodity hardware. Specifically, it covers what Hadoop is and its ecosystem including HDFS, MapReduce, Pig, Hive, HBase and other related technologies. It also discusses use cases, architecture, benefits and how companies are using Hadoop to solve big data problems.
Cred_hadoop_presenatation
This document discusses big data and how Hadoop solves big data problems. It first describes where big data comes from and the challenges of big data's size, unstructured nature, and analysis. It then explains how Hadoop uses a cluster of machines to handle unstructured data at scale through horizontal scaling. Finally, it provides examples of how Hadoop can help solve problems in retail and manufacturing by analyzing large amounts of diverse data.
Best hadoop-online-training
Hadoop Online Training : kelly technologies is the bestHadoop online Training Institutes in Bangalore. ProvidingHadoop online Training by real time faculty in Bangalore.
Hw09 Rethinking The Data Warehouse With Hadoop And Hive
The document discusses Hive, a system for managing and querying large datasets stored in Hadoop. It describes how Hive provides a familiar SQL-like interface, simplifying Hadoop programming. The document also outlines how Facebook uses Hive and Hadoop for analytics, with over 4TB of new data added daily across a large cluster.
Facebook Hadoop Data & Applications
This document discusses Facebook's use of Hadoop and Hive for storing and analyzing large amounts of user-generated data. Key points include:
- Facebook stores petabytes of user data including statuses, photos, videos in its Hadoop/Hive warehouse and other Hadoop clusters.
- The data is used for business intelligence to inform strategies and decisions, and power artificial intelligence like recommendations and ads optimization.
- Hive is used for ad hoc querying, building machine learning models at scale, and performing text analytics on large corpora.
- Examples demonstrate how metrics dashboards and recommendation systems were built on Hadoop/Hive.
Hadoop
Hadoop is an open source framework from Apache and is used to store process and analyze data which are very huge in volume.
Hadoop_Architect__eVenkat
This document outlines the objectives, content, and structure of a 28-30 hour training course on Hadoop and its ecosystem. The course will provide both theoretical and hands-on instruction on topics such as Hadoop architecture and components, HDFS, MapReduce, YARN, Hive, Pig, Sqoop, HBase, and Oozie. Participants will learn how to install Hadoop clusters, develop MapReduce programs, integrate Hadoop components, and apply best practices for Hadoop development, administration, and management. The goal is for attendees to gain the skills needed to architect Hadoop projects and leverage its ecosystem for data analysis and storage.
Introduction to Hive for Hadoop
Provides an introduction to Hive. This was given at the 1st Boston Hadoop User Meetup Group on October 28th, 2009.
Hadoop_RealTime_Processing_eVenkat
This document provides an overview of a course on real-time data processing using Apache Storm and Apache Spark. The course objectives are to provide knowledge and skills for real-time analytics on streaming data using these open-source frameworks. Students will learn how to install and use Storm to process unbounded streams of data in real-time, as well as Spark, which provides faster performance than Hadoop MapReduce for certain applications. The hands-on course covers topics like Storm and Spark installation, working with RDDs in Spark, and real-world projects using Storm for streaming data analytics.
HADOOP ONLINE TRAINING
For Free Demo Please Contact
AcuteSoft:
India: +91-9848346149, +91-7702226149
Land Line: +91 (0)40 - 42627705
USA: +1 973-619-0109, +1 312-235-6527
UK : +44 207-993-2319
skype : acutesoft
email : info@acutesoft.com
www.acutesoft.com
http://training.acutesoft.com
Hadoop online training
The document provides an overview of the best Hadoop online training course offered by Kellytechno. The training covers fundamental Hadoop concepts like HDFS, MapReduce, and Hadoop cluster architecture. It also covers advanced topics such as Hive, Pig, HBase, Sqoop and Oozie. The training is led by technical experts and provides hands-on practice in installing, configuring and developing applications on Hadoop. The goal is to help students learn Hadoop and become proficient in using the technology.
Hadoop introduction
Hadoop is an open-source software platform for distributed storage and processing of large datasets across clusters of computers. It was designed to scale up from single servers to thousands of machines, with very high fault tolerance. The document outlines the history of Hadoop, why it was created, its core components HDFS for storage and MapReduce for processing, and provides an example word count problem. It also includes information on installing Hadoop and additional resources.
Introduction to Apache Hadoop
Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of commodity servers. It was designed to scale up from single servers to thousands of machines, with very high fault tolerance. Hadoop features two main components - the Hadoop Distributed File System (HDFS) for storage, and MapReduce for distributed processing of large datasets in a parallel and distributed manner. Hadoop saw widespread adoption for applications such as log analysis, data mining, and large-scale graph processing.
Hadoop
This document discusses big data tools like Hadoop and Tableau. It explains that Hadoop is an open source framework written in Java that allows for data storage, processing, analysis, and visualization. The core components of Hadoop that enable these functions are HDFS, MapReduce, Hive, Pig, Sqoop, and HBase. It also mentions setting up Cloudera on a Linux operating system and notes that learning Hadoop can provide various career opportunities.
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This document provides an introduction and overview of Hadoop. It outlines the learning objectives which are to understand the features of Hadoop including HDFS, MapReduce, and the Hadoop ecosystem. The agenda then covers key topics like the history of Hadoop, its components, architecture, and use cases. HDFS architecture and operations are discussed along with MapReduce programming. Finally, it briefly introduces other Hadoop ecosystem projects like Pig, Hive, HBase and Sqoop.
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Enough taking about Big data and Hadoop and let’s see how Hadoop works in action.
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This document provides an overview of an online Hadoop training course. It discusses key Hadoop concepts like HDFS, MapReduce, Pig, Hive, and HBase. It also covers how to install and configure Hadoop clusters of different sizes. Contact information is provided for SRY IT Solutions, the provider of the training.
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Hadoop online training
Hadoop Training is cover Hadoop Administration training and Hadoop developer by Keylabs. we provide best Hadoop classroom & online-training in Hyderabad&Bangalore.
http://www.keylabstraining.com/hadoop-online-training-hyderabad-bangalore
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment.
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These slides provide highlights of my book HDInsight Essentials. Book link is here: http://www.packtpub.com/establish-a-big-data-solution-using-hdinsight/book
HdInsight essentials Hadoop on Microsoft Platform
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Sap bo xi r4.0
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Sap bo xi r4.0
This document outlines the course contents for an SAP BO training which includes topics like dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. The course covers concepts, architectures, and hands-on experience with BO tools for data analysis, reporting, and visualization.
Peoplesoft technical
Course Title
PeopleSoft Technical
PeopleTools 1
PeopleTools 2
SQR Programming
PeopleCode
Application Engine
Integration Tools
Security
Workflow
Query
PeopleTools 1 is the prerequisite for all other PeopleTools courses. In this
course,
participants work with Application Designer to construct web-based PeopleSoft applications,
from the database tables to the graphical interface. By the end of this course, participants
will be able to create a complete PeopleSoft application using fields, record definitions,
tables, graphical pages, and components.
� Introduction to PeopleTools
� Effective Date Logic
� Field Definitions
� Record Definitions
� Building Tables
� Page Definitions
� Component Definitions
� Menu Definitions
� Security Overview
� Portal Structure and Content
�Working with Projects
PeopleTools II course takes your PeopleSoft development skills to the next
level, covering advanced
topics and techniques for more sophisticated applications and customizations. Participants
will gain a deeper understanding of how PeopleSoft applications are constructed and
customized for specific requirements. Hands-on activities allow the participants to practice
and master what they learn.
� A Quick Review of Application Designer
� Views
� Search Records
� Summary Pages
� Prompt Table Edits
�Subrecords and Subpages
� Deferred Processing
� Introduction to PeopleCode
� Advanced Page Design
� Images
� Style Sheets
Business Contacts:
Name : Mr. Satish Kumar
Email id : info@tektrainings.com Or tektrainings1@gmail.com
Phone number : +91 998 941 6000 ( India)
248 906 1615 ( USA)
Teradata short
Chapter 1: Introduction to Teradata
1. What is Teradata
2. Advantages and Features of Teradata
3. Core components
4. SMP (Symmetric Multi processing)
5. MPP (Massive Parallel Processing)
6. Teradata Operating systems
7. PDE
8. BYNET
a. Features
b. Communication Methods
9. VProcs
10. AMP
11. PE
12. TDP
13. CLI
14. ODBC
15. Versions
a. S/w versions
b. H/w versions
Chapter 2: Making virtual disks
Chapter 3: Fault tolerance
Chapter 4: Transaction processing
Chapter 5: Data distribution and storage
Chapter 6: Data accessing methods
Chapter 7: Join strategies
Chapter 7: Teradata Objects
Chapter 8: Explanation plan
Chapter 9: Statistics
Chapter 10:
Transactions modes
Teradata Requests
Session parallelism
Chapter 11: Join indexes
Chapter 12: Queryman
Chapter 13: BTEQ
Chapter 14: Fast Load
Chapter 15: Multi Load
Chapter 16: Fast Export
Chapter 17: Teradata Parallel Pump
Chapter 18: Working with AMJ files
Chapter 19: Teradata Databases
Chapter 20: Teradata Administrator
Chapter 21: Performance monitoring (PMON)
Chapter 22: House keeping Part- I
Business Contacts:
Name : Mr. Satish Kumar
Email id : info@tektrainings.com Or tektrainings1@gmail.com
Phone number : +91 998 941 6000 ( India)
248 906 1615 ( USA)
Sap bo xi r4.0
This document provides an overview of the course contents for an SAP BO training. The course covers topics such as data warehousing concepts, dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. It includes hands-on experience with tools such as BO XIR3, BO 4.0, WebI 3.x, WebI 4.0, Crystal Reports, Xcelsius, Live Office, and Polestar.
Oaf short
This document provides an overview of Oracle Applications Framework (OAF), covering its model-view-controller (MVC) architecture, process flow, debugging, controllers, event flows, naming conventions, error handling, business logic, partial page rendering, state management, personalization, extension, performance tuning, menus, security, internationalization, and deployment. It serves as an introduction to developing applications using OAF.
Sap bo xi r4.0 short
The document outlines the course contents for an SAP BO training which includes topics like dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. It also provides contact details for the training provider.
Adf short
This document provides an overview of Oracle Fusion Application Development Framework (ADF) including working with JDeveloper, designing database schemas, using ADF business components like entity objects and view objects, implementing business rules validation, using application modules, building user interfaces with ADF data bindings and task flows, enriching page content, ensuring reusability, handling page navigation and application events, managing and validating data, implementing transaction management, deploying applications to WebLogic, and troubleshooting ADF applications. Contact information is provided for training on these Oracle Fusion and ADF topics.
Teradata
The document outlines the chapters of a book on Teradata, which introduce the components, features, and functions of the Teradata database management system. It covers topics such as the core components of Teradata including SMP, MPP, and operating systems, as well as features like PDE, BYNET, VProcs, and AMP. Later chapters discuss transaction processing, data distribution, storage, accessing methods, joins, objects, plans, statistics, transactions, sessions, joins indexes, utilities, databases, administration, and performance monitoring in Teradata.
Best Weblogic Server Online Training
This document provides an overview of developing applications with Oracle Fusion Middleware technologies including Oracle Application Development Framework (ADF). It covers topics such as setting up the development environment with JDeveloper, designing database schemas and business components with ADF Business Components, building user interfaces with ADF Faces, creating task flows, ensuring reusability, handling data binding, validation and transactions, and deploying the finished application. The document is intended to guide developers through the full application development lifecycle with ADF.
Best Teradata Online Training
The document outlines the chapters of a book on Teradata, which introduce the components, features, and functions of the Teradata database management system. It covers topics such as the core components of Teradata including SMP, MPP, and operating systems, as well as features like PDE, BYNET, VProcs, and AMP. Later chapters discuss transaction processing, data distribution, storage, accessing methods, joins, objects, plans, statistics, transactions, sessions, joins indexes, utilities, databases, administration, and performance monitoring in Teradata.
Best Selenium Online Training
This document provides an overview of Selenium, including its history and advantages. It discusses the different flavors of Selenium like IDE, RC, Grid, and WebDriver. It also covers basics of Java, Eclipse IDE, sample Java programs, JUnit, and data-driven testing. Finally, it discusses Selenium WebDriver, Grid, test automation frameworks, and running tests in parallel on multiple browsers.
Best SAP HANA Online Training
This document outlines 30 lessons on SAP HANA, covering its components, architecture, data modeling, administration, security, integration with SAP BI, BW, and other applications. It also discusses system sizing, data provisioning, modeling, reporting, user management, scaling, distributed systems, backup/recovery, and certification questions. Attendees will receive training materials on HANA administration, security, BODS, BPC, and BW integration.
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- 1. Hadoop and Amazon Web Service-Map Reduce Complete Training course details: Exercises: Hadoop Virtual Machine Setup Configuring Hadoop in Single Cluster. Loading/UnLoading Data in Distributed HDFS System. Amazon Map Reduce based Hadoop setup - Multi Cluster Mode. Process and Metrics Analysis for Hadoop Output. Apache Pig Installation and script execution. NOSQL Data setup and Integration with Hadoop. HiveQL commands and scripts . HBASE Map Reduce examples. Many more examples and exercises /assignments 1. Introduction to HADOOP Distributed computing , cloud computing Big data Basics and Need for Parallel Processing How Hadoopworks ? Introduction to HDFS and Map Reduce 2. Hadoop Architecture Details Name Node Data Node Secondary Name Node Job Tracker Task Tracker 3. HDFS ( Hadoop - Distributed File System) Hadoop Distributed file system , Background, GFS Data Replication Data Storage Data Retrieval Additional HDFS commands 4) MapReduce Programming MapReduce, Background Writing MapReduce Programs Writable and WritableComparable Input Format, Output Format Input Split and Block size Combiner Partitioner Number of Mappers and Reducers Counters 5) Hadoop Streaming How Streaming Works ? Writing MapReduce programs in other languages
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