
Featured Content

Data Warehouse Automation & Real-time Data – Reducing Time to Value in a Distributed Analytical Environment

Creating Data Products in a Data Mesh, Data Lake or Lakehouse for Use in Analytics (9-10 June 2022, Stockholm)
Education
Big Data & Analytics Fundamentals – From Strategy to Implementation

Request information on running this seminar as an Onsite (can be given as virtual training)
Overview
This two day workshop is aimed at getting Data Scientists, Data Warehousing and BI professionals up to scratch on Big Data technologies such as Hadoop, Storm, Spark, Flink, SQL on Hadoop, NoSQL DBMSs and Multi-Platform Analytics. What is Big Data? How can you make use of it? How does it fit within a traditional analytical environment? What skills do you need to develop for Big Data Analytics? All of these questions are addressed in this new knowledge packed workshop.
Audience
IT directors, CIO’s, IT Managers, BI Managers, data warehousing professionals, data scientists, enterprise architects, data architects
Learning Objectives
Attendees to this seminar will learn:
- What Big Data is
- How to clearly understand business use cases for different Big Data technologies
- How to make use of Big Data to deliver business value
- How to set up and organise Big Data projects including skills
- How Big Data creates several new types of analytical workload
- Big Data technology platforms like Hadoop, Spark and NoSQL databases
- Big Data advanced analytical techniques and tools
- How to analyse un-modelled, multi-structured data using Hadoop, MapReduce & Spark
- How to integrate Big Data with traditional data warehouses and BI systems
Click here for a full brochure