| Code | Name | Venue | Duration | Course Date | PHP | Course Price [Remote / Classroom] |
|---|---|---|---|---|---|---|
| hadoopmapr | Hadoop Administration on MapR | IA, Johnston - Foxboro Square | 28 hours | Tue, Oct 10 2017, 9:30 am | $7685 / $10415 | |
| 68736 | Hadoop for Developers (2 days) | IA, Des Moines - Hub Tower | 14 hours | Tue, Oct 10 2017, 9:30 am | $3350 / $4650 | |
| 68736 | Hadoop for Developers (2 days) | IA, Johnston - Foxboro Square | 14 hours | Wed, Oct 11 2017, 9:30 am | $3350 / $5140 | |
| apacheh | Administrator Training for Apache Hadoop | IA, Johnston - Foxboro Square | 35 hours | Mon, Oct 16 2017, 9:30 am | $10250 / $13450 | |
| mdlmrah | Model MapReduce and Apache Hadoop | IA, Johnston - Foxboro Square | 14 hours | Tue, Oct 17 2017, 9:30 am | $3580 / $5370 | |
| hadoopmapr | Hadoop Administration on MapR | IA, Des Moines - Hub Tower | 28 hours | Mon, Oct 23 2017, 9:30 am | $7685 / $9485 | |
| hadoopadm | Hadoop Administration | IA, Johnston - Foxboro Square | 21 hours | Wed, Oct 25 2017, 9:30 am | $5700 / $7960 | |
| apacheh | Administrator Training for Apache Hadoop | IA, Des Moines - Hub Tower | 35 hours | Mon, Nov 13 2017, 9:30 am | $10250 / $12300 | |
| hadoopadm | Hadoop Administration | IA, Des Moines - Hub Tower | 21 hours | Tue, Nov 14 2017, 9:30 am | $5700 / $7250 | |
| mdlmrah | Model MapReduce and Apache Hadoop | IA, Des Moines - Hub Tower | 14 hours | Tue, Nov 21 2017, 9:30 am | $3580 / $4880 | |
| 68736 | Hadoop for Developers (2 days) | IA, Johnston - Foxboro Square | 14 hours | Thu, Nov 30 2017, 9:30 am | $3350 / $5140 | |
| apacheh | Administrator Training for Apache Hadoop | IA, Johnston - Foxboro Square | 35 hours | Mon, Dec 11 2017, 9:30 am | $10250 / $13450 | |
| 68736 | Hadoop for Developers (2 days) | IA, Des Moines - Hub Tower | 14 hours | Tue, Dec 12 2017, 9:30 am | $3350 / $4650 | |
| hadoopadm | Hadoop Administration | IA, Johnston - Foxboro Square | 21 hours | Mon, Dec 18 2017, 9:30 am | $5700 / $7960 | |
| hadoopmapr | Hadoop Administration on MapR | IA, Johnston - Foxboro Square | 28 hours | Tue, Dec 19 2017, 9:30 am | $7685 / $10415 | |
| mdlmrah | Model MapReduce and Apache Hadoop | IA, Johnston - Foxboro Square | 14 hours | Wed, Dec 20 2017, 9:30 am | $3580 / $5370 | |
| hadoopmapr | Hadoop Administration on MapR | IA, Des Moines - Hub Tower | 28 hours | Tue, Jan 2 2018, 9:30 am | $7685 / $9485 | |
| hadoopadm | Hadoop Administration | IA, Des Moines - Hub Tower | 21 hours | Wed, Jan 10 2018, 9:30 am | $5700 / $7250 | |
| apacheh | Administrator Training for Apache Hadoop | IA, Des Moines - Hub Tower | 35 hours | Mon, Jan 15 2018, 9:30 am | $10250 / $12300 | |
| 68736 | Hadoop for Developers (2 days) | IA, Johnston - Foxboro Square | 14 hours | Thu, Feb 1 2018, 9:30 am | $3350 / $5140 | |
| 68736 | Hadoop for Developers (2 days) | IA, Des Moines - Hub Tower | 14 hours | Mon, Feb 5 2018, 9:30 am | $3350 / $4650 | |
| apacheh | Administrator Training for Apache Hadoop | IA, Johnston - Foxboro Square | 35 hours | Mon, Feb 5 2018, 9:30 am | $10250 / $13450 | |
| mdlmrah | Model MapReduce and Apache Hadoop | IA, Des Moines - Hub Tower | 14 hours | Mon, Feb 5 2018, 9:30 am | $3580 / $4880 | |
| hadoopadm | Hadoop Administration | IA, Johnston - Foxboro Square | 21 hours | Wed, Feb 7 2018, 9:30 am | $5700 / $7960 | |
| mdlmrah | Model MapReduce and Apache Hadoop | IA, Johnston - Foxboro Square | 14 hours | Thu, Feb 8 2018, 9:30 am | $3580 / $5370 | |
| hadoopmapr | Hadoop Administration on MapR | IA, Johnston - Foxboro Square | 28 hours | Mon, Feb 12 2018, 9:30 am | $7685 / $10415 | |
| hadoopmapr | Hadoop Administration on MapR | IA, Des Moines - Hub Tower | 28 hours | Mon, Feb 26 2018, 9:30 am | $7685 / $9485 | |
| hadoopadm | Hadoop Administration | IA, Des Moines - Hub Tower | 21 hours | Wed, Mar 7 2018, 9:30 am | $5700 / $7250 | |
| apacheh | Administrator Training for Apache Hadoop | IA, Des Moines - Hub Tower | 35 hours | Mon, Mar 12 2018, 9:30 am | $10250 / $12300 | |
| 68736 | Hadoop for Developers (2 days) | IA, Johnston - Foxboro Square | 14 hours | Mon, Mar 26 2018, 9:30 am | $3350 / $5140 | |
| 68736 | Hadoop for Developers (2 days) | IA, Des Moines - Hub Tower | 14 hours | Tue, Mar 27 2018, 9:30 am | $3350 / $4650 | |
| mdlmrah | Model MapReduce and Apache Hadoop | IA, Des Moines - Hub Tower | 14 hours | Tue, Mar 27 2018, 9:30 am | $3580 / $4880 | |
| mdlmrah | Model MapReduce and Apache Hadoop | IA, Johnston - Foxboro Square | 14 hours | Mon, Apr 2 2018, 9:30 am | $3580 / $5370 | |
| hadoopadm | Hadoop Administration | IA, Johnston - Foxboro Square | 21 hours | Mon, Apr 2 2018, 9:30 am | $5700 / $7960 | |
| apacheh | Administrator Training for Apache Hadoop | IA, Johnston - Foxboro Square | 35 hours | Mon, Apr 2 2018, 9:30 am | $10250 / $13450 | |
| hadoopmapr | Hadoop Administration on MapR | IA, Johnston - Foxboro Square | 28 hours | Tue, Apr 10 2018, 9:30 am | $7685 / $10415 |
| Code | Name | Duration | Outline |
|---|---|---|---|
| apacheh | Administrator Training for Apache Hadoop | 35 hours |
Audience:The course is intended for IT specialists looking for a solution to store and process large data sets in a distributed system environment Goal:Deep knowledge on Hadoop cluster administration. 1: HDFS (17%)
2: YARN and MapReduce version 2 (MRv2) (17%)
3: Hadoop Cluster Planning (16%)
4: Hadoop Cluster Installation and Administration (25%)
5: Resource Management (10%)
6: Monitoring and Logging (15%)
|
| storm | Apache Storm | 28 hours |
Apache Storm is a distributed, real-time computation engine used for enabling real-time business intelligence. It does so by enabling applications to reliably process unbounded streams of data (a.k.a. stream processing). "Storm is for real-time processing what Hadoop is for batch processing!" In this instructor-led live training, participants will learn how to install and configure Apache Storm, then develop and deploy an Apache Storm application for processing big data in real-time. Some of the topics included in this training include:
Request this course now! Audience
Format of the course
Request a customized course outline for this training! |
| hadoopadm | Hadoop Administration | 21 hours |
The course is dedicated to IT specialists that are looking for a solution to store and process large data sets in distributed system environment Course goal:Getting knowledge regarding Hadoop cluster administration
|
| ambari | Apache Ambari: Efficiently manage Hadoop clusters | 21 hours |
Apache Ambari is an open-source management platform for provisioning, managing, monitoring and securing Apache Hadoop clusters. In this instructor-led live training participants will learn the management tools and practices provided by Ambari to successfully manage Hadoop clusters. By the end of this training, participants will be able to:
Audience
Format of the course
To request a customized course outline for this training, please contact us. |
| 68736 | Hadoop for Developers (2 days) | 14 hours |
Introduction
The Motivation for Hadoop
Hadoop: Basic Concepts and HDFS
Introduction to MapReduce
Hadoop Clusters and the Hadoop Ecosystem
Writing a MapReduce Program in Java
Writing a MapReduce Program Using Streaming
Unit Testing MapReduce Programs
Delving Deeper into the Hadoop API
Practical Development Tips and Techniques
Partitioners and Reducers
Data Input and Output
|
| kylin | Apache Kylin: From classic OLAP to real-time data warehouse | 14 hours |
Apache Kylin is an extreme, distributed analytics engine for big data. In this instructor-led live training, participants will learn how to use Apache Kylin to set up a real-time data warehouse. By the end of this training, participants will be able to:
Note
Audience
Format of the course
To request a customized course outline for this training, please contact us. |
| hadoopmapr | Hadoop Administration on MapR | 28 hours |
Audience:This course is intended to demystify big data/hadoop technology and to show it is not difficult to understand. Big Data Overview:
Hadoop & Its components:
(This includes setting up a Hadoop cluster in VirtualBox/KVM/VMware, Network configurations that need to be carefully looked into, running Hadoop Daemons and testing the cluster).
Hadoop Cluster Planning:
What is MapR and why MapR :
Cluster Setup & Administration:
Cluster upgrade and integration with other setups:
All the above topics include Demonstrations and practice sessions for learners to have hands on experience of the technology. |
| hadoopdeva | Advanced Hadoop for Developers | 21 hours |
Apache Hadoop is one of the most popular frameworks for processing Big Data on clusters of servers. This course delves into data management in HDFS, advanced Pig, Hive, and HBase. These advanced programming techniques will be beneficial to experienced Hadoop developers. Audience: developers Duration: three days Format: lectures (50%) and hands-on labs (50%).
Section 1: Data Management in HDFS
Section 2: Advanced Pig
Section 3 : Advanced Hive
Section 4 : Advanced HBase
|
| hadoopdev | Hadoop for Developers (4 days) | 28 hours |
Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. This course will introduce a developer to various components (HDFS, MapReduce, Pig, Hive and HBase) Hadoop ecosystem. Section 1: Introduction to Hadoop
Section 2: HDFS
Section 3 : Map Reduce
Section 4 : Pig
Section 5: Hive
Section 6: HBase
|
| hadoopba | Hadoop for Business Analysts | 21 hours |
Apache Hadoop is the most popular framework for processing Big Data. Hadoop provides rich and deep analytics capability, and it is making in-roads in to tradional BI analytics world. This course will introduce an analyst to the core components of Hadoop eco system and its analytics AudienceBusiness Analysts Durationthree days FormatLectures and hands on labs.
|
| hadoopadm1 | Hadoop For Administrators | 21 hours |
Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. In this three (optionally, four) days course, attendees will learn about the business benefits and use cases for Hadoop and its ecosystem, how to plan cluster deployment and growth, how to install, maintain, monitor, troubleshoot and optimize Hadoop. They will also practice cluster bulk data load, get familiar with various Hadoop distributions, and practice installing and managing Hadoop ecosystem tools. The course finishes off with discussion of securing cluster with Kerberos. “…The materials were very well prepared and covered thoroughly. The Lab was very helpful and well organized” AudienceHadoop administrators FormatLectures and hands-on labs, approximate balance 60% lectures, 40% labs.
|
| hbasedev | HBase for Developers | 21 hours |
This course introduces HBase – a NoSQL store on top of Hadoop. The course is intended for developers who will be using HBase to develop applications, and administrators who will manage HBase clusters. We will walk a developer through HBase architecture and data modelling and application development on HBase. It will also discuss using MapReduce with HBase, and some administration topics, related to performance optimization. The course is very hands-on with lots of lab exercises.
Audience : Developers & Administrators
|
| hivehiveql | Data Analysis with Hive/HiveQL | 7 hours |
This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive Hive Overview
DQL (Data Query Language) in Detail
|
| IntroToAvro | Apache Avro: Data serialization for distributed applications | 14 hours |
This course is intended for
Format of the course
Principles of distributed computing
Principles of data serialization
Data serialization and distributed computing
Using Avro with
Porting Existing RPC Frameworks |
| druid | Druid: Build a fast, real-time data analysis system | 21 hours |
Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo. In this course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment. Audience Format of the course Introduction Installing and starting Druid Druid architecture and design Real-time ingestion of event data Sharding and indexing Loading data Querying data Visualizing data Running a distributed cluster Druid + Apache Hive Druid + Apache Kafka Druid + others Troubleshooting Administrative tasks |
| voldemort | Voldemort: Setting up a key-value distributed data store | 14 hours |
Voldemort is an open-source distributed data store that is designed as a key-value store. It is used at LinkedIn by numerous critical services powering a large portion of the site. This course will introduce the architecture and capabilities of Voldomort and walk participants through the setup and application of a key-value distributed data store. Audience Format of the course Introduction Understanding distributed key-value storage systems Voldomort data model and architecture Downloading and configuration Command line operations Clients and servers Working with Hadoop Configuring build and push jobs Rebalancing a Voldemort instance Serving Large-scale Batch Computed Data Using the Admin Tool Performance tuning |
| BigData_ | A practical introduction to Data Analysis and Big Data | 28 hours |
Participants who complete this training will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools. Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class. The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability. Audience
Format of the course Introduction to Data Analysis and Big Data
Languages used for Data Analysis
Approaches to Data Analysis
Big Data infrastructure
|
| ApHadm1 | Apache Hadoop: Manipulation and Transformation of Data Performance | 21 hours |
The major focus of the course is data manipulation and transformation. Among the tools in the Hadoop ecosystem this course includes the use of Pig and Hive both of which are heavily used for data transformation and manipulation. This training also addresses performance metrics and performance optimisation. The course is entirely hands on and is punctuated by presentations of the theoretical aspects. 1.1Hadoop Concepts1.1.1HDFS
1.1.2Clusters
1.2Data Manipulation1.2.1MapReduce detailed
1.2.2Analytics with Map Reduce
1.2.3Data Cleansing
1.2.4Extracting and Transforming Data
1.2.5Advanced Joins
1.3Performance Diagnosis and Optimization Techniques
|
| mdlmrah | Model MapReduce and Apache Hadoop | 14 hours |
The course is intended for IT specialist that works with the distributed processing of large data sets across clusters of computers. Data Mining and Business Intelligence
Big data
MapReduce
Hadoop
|
| hadoopforprojectmgrs | Hadoop for Project Managers | 14 hours |
As more and more software and IT projects migrate from local processing and data management to distributed processing and big data storage, Project Managers are finding the need to upgrade their knowledge and skills to grasp the concepts and practices relevant to Big Data projects and opportunities. This course introduces Project Managers to the most popular Big Data processing framework: Hadoop. In this instructor-led training, participants will learn the core components of the Hadoop ecosystem and how these technologies can used to solve large-scale problems. In learning these foundations, participants will also improve their ability to communicate with the developers and implementers of these systems as well as the data scientists and analysts that many IT projects involve. Audience
Format of the course
Introduction Understanding Hadoop's architecture and key concepts What constitutes Big Data? Different approaches to storing Big Data HDFS (Hadoop Distributed File System) as the foundation How Big Data is processed Processing data with Map Reduce The role of clustering in large-scale distributed processing Clustering your data and processes with YARN The role of non-relational database in Big Data storage Working with Hadoop's non-relational database: HBase Data warehousing architectural overview Managing your data warehouse with Hive Running Hadoop from shell-scripts Working with Hadoop Streaming Other Hadoop tools and utilities Getting started on a Hadoop project Migrating an existing project to Hadoop Hadoop project stakeholders and their toolkits Hadoop as a foundation for new technologies and approaches Closing remarks |
| Course | Venue | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|
| Visual Basic for Applications (VBA) in Excel - Advanced | MN, Eagan - Grand Oak I | Wed, Oct 18 2017, 9:30 am | $3455 / $5815 |
| Assertiveness | UT, Salt Lake City - 222 Main | Tue, Oct 24 2017, 9:30 am | $1723 / $3143 |
| Statistical Thinking for Decision Makers | KY, Louisville – Ormsby III Forest Green | Thu, Oct 26 2017, 9:30 am | $2025 / $3275 |
| IoT (Internet of Things) for Entrepreneurs, Managers and Investors | NH, Nashua – One Tara Boulevard | Wed, Feb 7 2018, 9:30 am | $6840 / $9450 |
| Hadoop for Developers (2 days) | NM, Albuquerque – Two Park Square Center | Thu, Feb 8 2018, 9:30 am | $3015 / $5035 |
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