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: DW634G | Category: IBM BigInsights / BigInsights SQL |
| Delivery: Online & on-site** | Course length in days: 0.8 |
Target audience
Developers, Administrators
Desired Prerequisites:
Basic Linux knowledge
Basic SQL knowledge
Working knowledge with big data and Hadoop technologies
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
1: Using Big SQL to access data residing in the HDFS
• Overview of Big SQL
• Understand how Big SQL fits in the Hadoop architecture
• Working with Big SQL using Ambari and command line
• Connect to Big SQL using IBM Data Server Manager
2: Creating Big SQL schemas and tables
• Describe and create Big SQL schemas and tables
• Describe and list the Big SQL data types
• Work with various Big SQL DDLs
• Load data into Big SQL tables using best practices
3: Querying Big SQL tables
• Describe Big SQL supported file formats
• Query Big SQL tables using various DMLs
4: Querying data in HBase tables using Big SQL
• Describe the basic functions of HBase
• Issue basic HBase commands
• Use Big SQL to create and query HBase tables
• Map HBase columns to Big SQL
5: Analyzing data managed by Big SQL using Apache Spark
• Describe the purpose and role of Spark
• Query data managed by Big SQL using Spark
6: Using Big SQL with various data types and tables
• Querying complex JSON with Big SQL
• Working with Hive ACID tables in Big SQL
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
