Join us for an evening event with key players in the Blockchain landscape in Europe.
Learn about future developments and check how to improve your knowledge to become a Blockchain expert.
Location: Solvay Brussels School – R42 (room R42.5.503 - Level 5)Speakers
Introduction by Philip Vergauwen (pending confirmation), Dean of Solvay Brussels School
Georges Ataya, Academic Director for the Blockchain education at Solvay Brussels School
More speakers to be announced soon
Cash, Visa, MC, AMEX & Discover. No Checks accepted at Box Office
Will Call is located at main Box Office. Customers can pick up any time/day prior to event
(518) 487-2000
Box Office is located on the Market Street side of the venue. From Labor Day to Memorial Day - Hours M-F 10AM -6PM & Sat 10AM - 2PM Summer Hours (from Memorial Day to Labor Day) - Hours : M-Th 10AM - 5PM Closed Fri-Sun
This is an accessible venue. Venue is Accessible from Pearl Street Level with escalators and elevators to the concourse level. Venue parking in Times Union Center Garage (behind venue) is accessible via walkway on the 3rd floor of garage.
Cash; Check up to $100.00 w/Mass. Driver License; AMEX; Visa; MC; Discover; Diners Club
Pick up tickets starting 2 hours prior to event time. Customer must present the actual credit card used to place order and a photo I.D.
General Info Number:(617) 624-1000 Group Sales (only!): (617) 624-1805/1806 Bruins (617) 624-BEAR (Groups = 25+) Celtics (617) 523-3030 (Groups = 20+) Please do not contact Group Sales regarding sold out games!
TD Garden - Boston | Tickets, Schedule, Seating Chart, Directions (ticketmaster.com) The box office will open 2 hours prior to an event and remain open until one hour after the event begins. Please note the TD Garden Box Office does not sell tickets at the public on sale. All tickets should be purchased via www.ticketmaster.com *Hours subject to change
This is an accessible venue.
This is a 12 hours long LIVE Instructor led training delivered from January 14 - January 30, 2020 over 3 weeks, 6 sessions, 2 sessions per week, 2 hours per session.
Kafka Training offers an in-depth understanding of Kafka Architecture, configuration, performance tuning, integration with Hadoop, spark & storm, etc., through real-time use cases.
Weekly Schedule
3 weeks | Tuesday, Thursday every week
5:30 - 7:30 PM US Pacific time each day
January 14 - January 30, 2020 US Pacific time
Please check your local date and time for first session
Features and Benefits
3 weeks, 6 sessions, 12 hours of total Instructor led LIVE training
Training material, instructor handouts and access to useful resources on the cloud provided
Practical Hands on Lab exercises provided
Actual code and scripts provided
Real-life Scenarios
What is Kafka?
Kafka is an open source data streaming system. It is designed to efficiently manage and process messaging system. The messages are produced and checked at the rate of milliseconds. Kafka is used to building a real-time data pipelines. It is a distributed streaming platform which means that it exactly publishes and subscribes to stream of records. Kafka is usually good for building real-time streaming. Also, it helps to build a real-time streaming application. It can be run on one or more server.
What are the Course Objectives?Complete knowledge of Apache Kafka.
Learn how to install and configuration of Kafka.
Get knowledge of End-to-End architecture.
Integration with other Application.
Implementing Kafka as the Single node.
Implementing on real-time Project.
Who should take this Course?
Any IT experienced Professional who is interested to build their career in Big data Analysts.
Any B.E/ B.Tech/ BSC/ M.C.A/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
Fresh Graduates.
Prerequisites
The course can learn from any IT professional having basic knowledge of :
Core Java Programming
Database concept
Unix/Linux
Module 1: Introduction to Big Data and Apache Kafka
Introduction to Big Data
Big Data Customer Scenarios
What is Kafka?
Need for Kafka
Core Concepts of Kafka
Kafka Architecture
Where is Kafka Used
Module 2: More about the Kafka cluster
Understanding the components of Kafka Cluster
Installation of Kafka Cluster
Configuring Kafka Cluster
Producer of Kafka
Consumer of Kafka
Producer and Consumer in Action
Module 3: Kafka Operations and Performance Tuning
Offset
Design
Hardware
Kafka Monitoring and Issues
Kafka Performance Tuning
Reading data from Kafka
Demo-Twitter Kafka Producer
Introduction to Scala
Mixed Paradigm-Functional Programming
Scala Installation & Configuration
Scala REPL
Scala Project Using Eclipse
Module 4: Integration of Kafka with Hadoop and Storm
Understanding the Hadoop Cluster
Integrating Kafka with Hadoop Cluster
Understanding Apache Storm
Implementing Spouts and Bolts
Kafka with Storm Spout
Module 5: Integration of Kafka with Spark
Ecosystem of Spark
Understanding the Spark Cluster
Integrating Kafka with Spark
Tickets held for collection can be collected from the box office on the day of the event. Please take the credit card used to make the booking and your Ticketmaster reference number with you.
Ground level is fully accessible. All spaces except the mezzanine (upper area of bar) are accessible to wheelchair users. For more information, please call 0161 615 0500.
CashCheckAmExVisaMC
Pick up tickets 1 hour prior to show. Customers must present the actual credit card used to place the order and a photo ID.
(212) 586-6510
Monday - Wednesday 10am - 8pm Thursday - Saturday 10am - 8:30pm