SQLBits encompasses everything from in-depth technical immersions to the enhancement of valuable soft skills. The full agenda will be announced in the spring; in the meantime check out the timetable and content we cover below.
2024 Training Days
Presenting 2024’s selection of training days, encompassing a deep dive into a range of subjects with some of the best data trainers in the world.
- 08:00 Registration opens and breakfast served.
- All training days run simultaneously across the venue from 09:00 – 17:00 with co-ordinated breaks.
- All training days include regular refreshment breaks and a lunch stop to rest, recharge, and chat to fellow delegates.
- No evening events planned, but if you’re staying over the night beforehand, why not join us in the Aviator on Monday night to meet the training day speakers for an informal drinks reception.
Big Data Made Simple
Description
This seminar provides an introduction to the world of Big Data. It begins with an overview of the challenges and concepts around Big Data, as well as the various data platform types, which evolved in order to address these challenges, such as key-value and columnar databases. The seminar also includes a detailed review of the current major vendors and products in the market, whether it’s in the cloud or on-premises, including a discussion about the pros and cons of each one as well as a comparison between the different platforms. We will also cover some Big Data use cases and scenarios, choose the best data platform for the job and design the Big Data architecture for each case.
Agenda:
- Defining Big Data
- Introduction to Big Data
- Big Data Challenges
- Big Data Lifecycle Management
- Exploring the Different Big Data Platform Types
- SMP vs MPP Architectures
- The MapReduce Programming Model
- The Relational Data Model
- The Key-Value Model
- Document Databases
- Graph Databases
- Columnar Data Stores
- Search Technologies
- Streaming Analytics
- Machine Learning
- Leading Vendors and Products
- Open-Source vs Closed-Source Software
- Cloud vs. On-Premises
- The Apache Software Foundation
- Big Data Market Research
- Leading Products (Very Long List Here…)
- Big Data Use Cases
- Internet of Things
- Funnel Conversion
- Behavioral Analytics
- Predictive Analytics
- Fraud Detection
- Twitter Big Data Architecture
- Summary
- Big Data Made Simple
- Big Data Roadmap
- Additional Resources
Agenda:
- Defining Big Data
- Introduction to Big Data
- Big Data Challenges
- Big Data Lifecycle Management
- Exploring the Different Big Data Platform Types
- SMP vs MPP Architectures
- The MapReduce Programming Model
- The Relational Data Model
- The Key-Value Model
- Document Databases
- Graph Databases
- Columnar Data Stores
- Search Technologies
- Streaming Analytics
- Machine Learning
- Leading Vendors and Products
- Open-Source vs Closed-Source Software
- Cloud vs. On-Premises
- The Apache Software Foundation
- Big Data Market Research
- Leading Products (Very Long List Here…)
- Big Data Use Cases
- Internet of Things
- Funnel Conversion
- Behavioral Analytics
- Predictive Analytics
- Fraud Detection
- Twitter Big Data Architecture
- Summary
- Big Data Made Simple
- Big Data Roadmap
- Additional Resources
Learning Objectives
Previous Experience
Tech Covered
Azure