Join Us For Introduction to BigData and Cloud Technologies
BigData and Cloud explained with real-world examples in this intensive 1-day workshop
Leave your details below and our representatives will be in touch soon.
Please enter a name
Please enter valid email
Please enter valid phone number
Invalid captcha
Send
We will be storing the details you submit so our representatives can reach out to you to complete the registration process, and will also use it to notify you of similar courses in the future via our newsletter.
1 day

Introduction to BigData and Cloud Technologies

BigData and Cloud explained with real-world examples in this intensive 1-day workshop
Enroll Now

How can we store or process large volumes of data? how to deal with a massive stream of events coming at high velocity? what really is BigData? How does a BigData-ready system look like? and how can Clouds help?

The topics of BigData and Cloud technologoies are being mentioned a lot, but it's hard to know where to start or what technologies to use.

Join our internationally renowned instructors for a full day packed of knowledge sharing. Let us give you an overview with short deep-dives into the vast landscapes of BigData, everything you need to get started with the technologies that changed the world.

Objectives

This course is aimed at giving a good overview for developers and decision-makers new to the field, as well as giving insights and valuable pointers to developers with practical experience.

  • Understanding the challenges with BigData, and approaches for solving them.
  • Storage, Compute and Stream Processing - and an overview of commonly used technologies.
  • Showcasing the characteristics and architecture of a BigData-ready system.
  • Using Cloud technologies, and overview of the notable ones.
Prerequisites

None.

  • What is BigData? and more importantly, what is not BigData?
  • Dealing with the challenges of Volume, Velocity and Variety of data.
  • The Hadoop ecosystem and it's current state
  • Why do we need new technologies?
  • Distributed file systems (HDFS, consistent hashing, and more)
  • File formats, and why they matter
  • NoSQL and the CAP Theorem
  • Properties of modern storage solution (Schemaless, redundancy, relaxed consistency)
  • Polyglot persistence
  • Overview of NoSQL technologies
  • Batch processing and why we can't do ad-hoc querying.
  • The Map/Reduce model and locality of data
  • Hadoop's MapReduce and YARN
  • Computation frameworks like Apache Spark and Flink
  • Monitoring of batch jobs and Spark computations
  • Machine learning
  • Distributed systems, microservices, containers and 'serverless'
  • Discovery, synchronization and configuration management
  • Queue systems and commit logs
  • Data workflows and pipelines
  • Design guidelines (explicit consistency expectations, idempotence, and more)
  • Monitoring and alerting (ELK, Graphite, Grafana, Graylog, Redash, Reimann and more)
  • Data warehousing
  • Micro batching
  • Stream processing (Apache Storm, Heron and similar technologies)
  • Lambda architecture
  • Why cloud?
  • Overview of Amazon Web Services
  • Overview of Google Cloud Platform
  • Overview of Microsoft Azure
  • Comparison and highlight of notable strengths of each
  • BigData on the cloud

Q&A panel with our experts - ask us anything.

Ready to get started?

Enroll Now