Description
At Sixe Engineering we have been providing official IBM training around the world for over 12 years. Get the best training from our specialists in Europe. We have important discounts and offers for two or more students.
Course details
| IBM course code: DW613G | Category: IBM BigInsights / Overview |
| Delivery: Online & on-site** | Course length in days: 3 |
Target audience
This intermediate training course is for those who want a foundation of IBM BigInsights. This includes:
- Big data engineers
- Data scientist
- Developers or programmers
- Administrators who are interested in learning about IBM's Open Platform with Apache Hadoop.
This course consists of two separate modules. The first module is IBM BigInsights Overview and it will give you an overview of IBM's big data strategy as well as a why it is important to understand and use big data. The second module is IBM Open Platform with Apache Hadoop. IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies.
Desired Prerequisites:
There are no pre-requisites for this course but knowledge of Linux would be beneficial.
Instructors
The great majority of the IBM courses we offer are taught directly by our engineers. This is the only way we can guarantee the highest quality. We complement all the training with our own materials and laboratories, based on our experience during the deployments, migrations and courses that we have carried out during all these years.
Added value
Our courses are deeply role oriented. To give an example, the needs for technology mastery are different for developer teams and for the people in charge of deploying and managing the underlying infrastructure. The level of previous experience is also important and we take it very seriously. That is why beyond (boring) commands and tasks, we focus on solving the problems that arise in the day to day of each team. Providing them with the knowledge, competencies and skills required for each project. In addition, our documentation is based on the latest version of each product.
Agenda and course syllabus
(DW6A1)
- Unit 1: Introduction to Big Data
- Exercise 1: Setting up the lab environment
- Unit 2: Introduction to IBM BigInsights
- Exercise 2: Getting started with IBM BigInsights
- Unit 3: IBM BigInsights for Analysts
- Exercise 3: Working with Big SQL and BigSheets
- Unit 4: IBM BigInsights for Data Scientist
- Exercise 4: Analyzing data with Big R, Jaql, and AQL
- Unit 5: IBM BigInsights for Enterprise Management
(DW6B1)
- Unit 1: IBM Open Platform with Apache Hadoop
- Exercise 1: Exploring the HDFS
- Unit 2: Apache Ambari
- Exercise 2: Managing Hadoop clusters with Apache Ambari
- Unit 3: Hadoop Distributed File System
- Exercise 3: File access & basic commands with HDFS
- Unit 4: MapReduce and Yarn
- Topic 1: Introduction to MapReduce based on MR1
- Topic 2: Limitations of MR1
- Topic 3: YARN and MR2
- Exercise 4: Creating and coding a simple MapReduce job (Possibly a more complex second Exercise)
- Unit 5: Apache Spark
- Exercise 5: Working with Spark's RDD to a Spark job
- Unit 6: Coordination, management, and governance
- Exercise 6: Apache ZooKeeper, Apache Slider, Apache Knox
- Unit 7: Data Movement
- Exercise 7: Moving data into Hadoop with Flume and Sqoop
- Unit 8: Storing and Accessing Data
- Topic 1: Representing Data: CSV, XML, JSON, and YAML
- Topic 2: Open Source Programming Languages: Pig, Hive, and Other [R, Python, etc]
- Topic 3: NoSQL Concepts
- Topic 4: Accessing Hadoop data using Hive
- Exercise 8: Performing CRUD operations using the HBase shell
- Topic 5: Querying Hadoop data using Hive
- Exercise 9: Using Hive to Access Hadoop / HBase Data
- Unit 9: Advanced Topics
- Topic 1: Controlling job workflows with Oozie
- Topic 2: Search using Apache Solr
- No lab exercises
Do you need to adapt this syllabus to your needs? Are you interested in other courses? Ask us without obligation.
Locations for on-site delivery
- Austria: Vienna
- Belgium: Brussels, Ghent
- Denmark: Cophenhagen
- Estonia: Tallinn
- Finland: Helsinki
- France: Paris, Marseille, Lyon
- Germany: Berlin, Munich, Cologne, Hamburg
- Greece: Athens, Thessaloniki
- Italy: Rome
- Louxemburg: Louxembourg (city)
- Netherlands: Amsterdam
- Norway: Oslo
- Portugal: Lisbon, Braga, Porto, Coimbra
- Slovakia: Bratislava
- Slovenia: Bratislava
- Spain: Madrid, Sevilla, Valencia, Barcelona, Bilbao, Málaga
- Sweden: Stockholm
- Turkey: Ankara
- United Kingdom: London
