Payments accepted are at the discretion of the show’s producer. An ATM is available in the lobby.
Will Call orders may be picked up as early as 90 minutes prior to show time, at the main box office located in the main lobby.
For DALLAS SUMMER MUSICALS: Please call 214.691.7200 For ALL OTHER EVENTS: Please visit www.liveatthemusichall.com
The Music Hall at Fair Park does not operate a daily box office. Events are staffed on the day of event, 90 minutes prior to each performance (generally). For DALLAS SUMMER MUSICALS: Please call 214.691.7200 For Ticketmaster events: please visit Ticketmaster.com For ALL OTHER EVENTS: Please visit www.liveatthemusichall.com
The Music Hall at Fair Park does not operate a daily box office. Events are staffed on the day of the event, 90 minutes prior to each performance (generally). For DALLAS SUMMER MUSICALS: Please call 214.691.7200 For Ticketmaster events: please visit Ticketmaster.com or call 800-877-7575 For ALL OTHER EVENTS: Please visit www.liveatthemusichall.com
To reach Barclays Center, please call 917-618-6100 or visit barclayscenter.com and use the chat feature.
Barclays Center provides wheelchair and companion seating with appropriate sight lines on all levels. Barclays Center team members can guide guests with mobility challenges to their seating location and to other amenities. Be advised that Center personnel reserve the right to take appropriate legal action against individuals who fraudulently obtain wheelchair & companion seats.
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
What is it?
A TeachMeet is an organised but informal meeting for teachers to share best practice, teaching innovations and personal experiences of teaching. Participants volunteer to discuss a strategy they have implemented over the past year, or discuss a product that has enhanced their classroom practice. This is the perfect opportunity to share, network and learn with your peers in an informal setting. The event is intended, and free, for educators. If you are not an educator we welcome you to join for $100USD.
What is the aim?
To inspire each other with interesting and useful ideas.
To develop and maintain a network of partners in teaching and learning.
To share ideas and strategies to use in the classroom and beyond.
Event Format
Networking with wine,beer and cheese
Micro-presentations – lasting 5 minutes
Nano-presentations – lasting 2 minutes
If you would like to present at the TeachMeet signup here
Location
FellasShunyi North 顺义北2/F, 8 Laiguangying Donglu (off the Airport Expressway, 100m north of WAB main entrance) Chaoyang District
朝阳区 来广营东路8号2层
Taxi Directions
请带我去【Fella's】地址：来广营东路10号
电话：010 8470 3821
The ESSMA Summit is the go-to stadium industry event by ESSMA (European Stadium & Safety Management Association).
Hosting venue:
Groupama Arena, Budapest (Portugal)
Participants:
Representatives of:
ESSMA member Leagues, Federations, Clubs, Stadiums
ESSMA Stadium & Corporate Partners
ESSMA Strategic Partners
Visit the event site »
Are you an ESSMA Corporate/Stadium Partner? Register via https://www.eventbrite.com/e/essma-summit-2020-tickets-for-essma-corporatestadium-partners-tickets-68614709443.