Do you have a background in data warehousing, business intelligence or relational databases?
Are you about to embark on a big data journey and need vendor neutral advice?
Do you want to learn more about how you can benefit from big data concepts and technologies but also want to understand the limitations?
Then this training course is for you.

Audience

Data Warehouse and Business Intelligence Professionals
Data Warehouse Managers
Data Warehouse Architects
ETL Developers
Data Warehouse Project Managers

Location:
On-site in EMEA. Webinar world-wide.

Price:
700 Euros for individuals
3,000 Euros for groups of up to 15 participants

Big Data Concepts
What is Big Data?
Big Data and the Enterprise Data Warehouse

Data Warehousing on Distributed Relational Databases (MPP)
Massively Parallel Processing & Shared Nothing Architecture
Data Distribution
Data Model
Processing Model
Data Storage & Indexes
Concurrency, Latency & Throughput
Limitations 1: Concurrency
Limitations 2: Scalability
Limitations 3: Resilience
Limitations 4: Unstructured Data
Limitations 5: Tight Coupling
Limitations 6: License Costs
Matrix MPP Vendors
MPP on Hadoop
See more.

Data Warehousing on Distrubuted File Systems
Why Hadoop?
Data Distribution & HDFS
Data Model
Processing Model
Data Storage & Indexes
Concurrency, Latency, Throughput
Scalability
Availability
Hadoop Limitations
Spark
Spark Limitations
Trends and Innovations
See more.

Data Warehouse Optimization
Limitations of Relational Databases for Data Warehousing
What is Data Warehouse Offload?
Data Warehouse Offload Opportunities
Next Generation Data Warehouse Architecture
Data Warehouse and Cloud
See more.

The Future of Dimensional Model and ETL
Dimensional Modelling in the Age of Big Data
The Future of ETL

Streaming Architecture
The what and why of streaming architecture
Components and Architecture Details
Message Brokers/Queues
Stateless & Stateful Computations
Delivery Semantics
Lambda Architecture
Checkpoints
End to End Consistency
Event Time & Processing Time
Windowing. Types of Windows.
Batch vs Realtime
Approximate Querying
Comparison of Streaming Engines
See more.

Data Lakes, Self-Service & Advanced Analytics
The Concept of the Data Lake
Is the Data Lake useful?
The Concept of Data Preparation and Self-Service Analytics
Sandbox Environments
Next Generation Advanced Analytics Architecture
From Big to Smart Data
Types of advanced analytics
Data Preparation & Science Tools
See more.