Plan Szkolenia
Introduction
- How Dremio solves the problem of data staging, data warehousing, aggregation, extracts, etc.
Installing and Configuring Dremio
Overview of Dremio Features and Architectures
- Data Acceleration
- Data Reflections (on HDFS, MapR-FS, cloud storage such as S3, local storage, etc.)
Query Execution Life Cycle
- Planning, coordination, execution,
Navigating the Dremio Web UI
Discovering Data
- The unified data catalog
Curating Data
- Creating virtual datasets
Using SQL to Define Transformations
- Joins and data type conversions
- Connecting through ODBC, JDBC and REST
Sharing Data with Team
- Uploading, collaboration, and access rights
Integrating Dremio with BI (Business Intelligence) Tools
- Serving up data for Tableau
Integrating Dremio with an Elasticsearch Cluster
Summary and Conclusion
Wymagania
- An understanding of Hadoop, NoSQL, and other data storage concepts
- Experience with writing SQL queries
- Experience with Linux command line
Opinie uczestników (5)
Szkolenie prowadzone w sposób przykuwający uwagę
Karol - Centralny Ośrodek Informatyki
Szkolenie - Nagios XI Administration
Trener dostosował materiały i treści do tego, co uważał za najlepsze dla nas i udało mu się. Jakość szkolenia była doskonała.
Jorge Sanchez Hernandez - CSMART - Carnival
Szkolenie - QGIS for Geographic Information System
Przetłumaczone przez sztuczną inteligencję
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Szkolenie - Data Analysis with SQL, Python and Spotfire
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Szkolenie - Advanced Data Analysis with TIBCO Spotfire
It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.