Date

May 11, 2017

Location

Bangalore

Capacity

50 Tickets

Speakers

10 Professional Speakers

About The Event

Spark Kafka is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Yahoo, eBay and Netflix have deployed Spark at massive scale, processing multiple petabytes of data on clusters of over 8,000 nodes. UNICOM is organizing Kafka and spark day conference to bring together the Kafka and spark leaders together to engage you with experts, core committers, and leading production users of Kafka, Spark, stream processing frameworks, and related projects. Attendees will also learn where the Spark and Kafka project development is headed and how companies are using these for large-scale, real-time data integration, and stream processing in a variety of applications.

So don’t miss it!!!

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Event Schedule


X Topic Abstract

Big data processing is undoubtedly one of the most exciting areas in computing today, and remains an area of fast evolution and introduction of new ideas. Apache Spark is at the cusp of overtaking MapReduce to emerge as the de-facto standard for big data processing. Thanks to it's multi-functional capabilities (Streaming,MLLib and GraphX) , Spark is now a dominant compute technology across various industry use cases and real-time analytics applications.

Machine learning is one of the key drivers for the growing adoption of Apache Spark. In this talk we will focus on how Spark can be leveraged for advanced analytics applications with some real-life use-cases from Retail and IoT verticals, explore various Machine Learning Capabilities of Spark that will help in finding patterns, trends and outliers to predict certain events or provide recommendations. We will explore latest features on Spark ML and best practices for performance/scale.

Audience is expected to have some basic knowledge of ML as this talk will not go into the details of supervised/unsupervised algorithms.

Speaker Profile

A versatile dynamic leader with professional work experience across multiple functions - Product Management, Architecture, Incubation,Engineering, Pre/Post-Sales and Customer Support.

- Proven track record with accomplishments in multiple releases of software products/platforms across Element/Network Management, OSS Tools/Platforms, Assurance Services, Network Analytics, Service Quality Analytics and Connected Analytics for Fixed-Line/Mobile Service Providers.

- Led Engineering Development of Software Products/Platforms with multi-million $$ business.

- Led End-to-End Product Management in Service Quality Analytics, Starting with Incubation -> Early Validation with Field(Account Teams) -> Requirement Definition/Roadmaps -> Working with Engineering Partners -> FCS/Pilots.

- Multiple recognition/awards received at Organization (Director/GM/VP level) and Cisco India Site Level for Mentoring, People Leadership, Teamwork/Collaboration and Customer Support.

- Believer of People Development, Empowerment, Teamwork/Collaboration and Diversity at Work Place. Built high-performing teams from ground up and led large teams with a mix of regular and contract employees.

- Technologist with Practical & Simple Solutions, Creative Problem Solving Skills and Execution focus while dealing with unknowns.

-Led and actively participated in various Innovation & excellence initiatives and collaborated with various groups within Cisco - IoT, S+CC, Analytics.

- Led Social Cause/Community Development as part of Corporate Social Responsibility Initiatives.

- Active representative of Campus Hiring, Internship & Recruitment Teams

- Active Member on IEEE Bangalore Chapter and a key member of IoT core group.


X Topic Abstract

Data Analytics on the fly (DAF) to get (close to) real-time insights is becoming very critical for many businesses for being driven and led in the right direction. We have various tools that help us achieve this, Kafka, Flink etc being a couple to mention, which are gaining steep popularity being open source.

Speaker Profile

Padmakumar (PK) Nambiar has close to 23 yrs of experience writing code and leading product development teams. He started his career with Electornics R&D Centre (now CDAC) as a Programmer after completing MTech from NIT, Calicut. Later joined IBM Software Labs in Bangalore, where he primarily led development efforts on IBM MQ and WAS products, post which he worked at Aptean as Director Engineering for their CRM products, and later as VP Engineering for Genpact's BigData Analytics Labs. After leaving Genpact in Aug 2016, he is onto setting up his own startup venture focusing on Artificial Intelligence using ANNs.

Round Table Discussion

Participants join a table to discuss one or more of the Conference themes. Each table has a "Topic Guru" to facilitate the discussion.


X Topic Abstract

Designing an enterprise class streaming application has significant challenges. Such challenges include handling imperfections in data stream - e.g. out of order arrival of data, handling system recoverable or irrecoverable system failures, and guaranteeing consistent results.

In real world applications these discrepancies are often exhibited and current distributed stream computation requires end user to handle such discrepancies and design custom solutions.

Structured streaming is the new component introduced from Spark 2.0 to simplify end to end development of continuous application where consistency, fault-tolerance and stream imperfection handling mechanisms are inbuilt.

In this talk I will try to explain problems faced while building high-throughput real world streaming application and how such problems can be solved using structured streaming and structured stream processing model provided in Spark 2.0. In specific I will talk about strong notion of prefix consistency, transactional source modelling, interactive stream queries and analytics on structured streams.

Speaker Profile

Ajay has nearly 8 years of industrial experience and He is currently working on Big data Technologies in BFSI domain. His primary area of interests are Real time Analytics and Machine learning. He graduated from International Institute of Information Technology, Bangalore.


X Topic Abstract

In the current world of BigData, Kafka is one of the leading messaging systems. LinkedIn generates billions of log entries and events that capture its over-few hundred million members’ activities every day. Jay Kreps and his team from LinkedIn were looking for a logging system which can handle high volume content with very high velocity at low latency. In 2010, they came up with Kafka messaging system which not only provides the solution of those problems but also ensure that messages are always available even in case of server failure. It is scalable and distributed in nature by design and can support 2 million writes per second. Compare to other traditional messaging systems, Kafka offers the best performance and scalability when we have a fire hose of events (100k+/sec).

Speaker Profile

My name is Goutam Chowdhury. I completed my graduation from IIEST,Shibpur. I started my career as a developer in “Indian railway online ticket booking system” project. Before joining Thomson Reuters, I got chance to work with IBM and Yahoo. I have total around 10 years of experience in Java, J2ee and BigData related technologies. In Thomson Reuters, am working on several projects where we do ingest high volume data to our internal data lake using Spark, Kafka and other BigData related technologies.


X Topic Abstract

We’ll start the talk with a live, interactive demo generating audience-specific recommendations using NiFi, Kafka, Spark Streaming, SQL, ML, and GraphX. Next, we’ll dive deep into the data flow between each of the key components. We use NiFi to track all data transformations using its “data provenance” capabilities. We use Kafka for its high-throughput and high-availability features. And we use Spark Streaming to dynamically train our ML models in real-time using an incremental Streaming Matrix Factorization library from Databricks

Speaker Profile

Jeet is technologist who has had a experience building software and data products. He is data enthusiastic and love to solve large scale machine learning problems. He has worked as Data Scientist in Housing.com and as Senior Engineer in Insideview.com before Accel. He loves to write blogs on Big data system and passionate about machine learning and deep learning.

Sponsors

Benefits of sponsorship

This is a great opportunity to strategically brand your organization. As a sponsor, you will receive a tremendous amount of visibility and numerous other benefits at the conference.

Sponsorship Levels

Platinum Sponsor (Limited to 2)

Gold Sponsor (Limited to 3)

Knowledge Partner (Limited to 1)

Silver Sponsor (Limited to 4)

Bronze Sponsor (Limited to 4)

Conference Bag Sponsor (Limited to 1)

Track Sponsor (Limited to 2)

A-La-Carte (Open)

       

Brand Your Organisation

Standard Price : Rs 30,000

You can also choose to strategically brand your organisation as per the below combo offer.

Package includes:

Full day attendance to the event

Website branding

Logo on brochure

Speaking Slot – 30 minute presentation slot or panel discussion (optional)

Lanyard branding

Brochure inserts

Past Sponsors

Testimonials

Event Speakers

Muralidhar Somisetty

Chief Technology Officer, Co-Founder

Innohabit

Padmakumar Nambiar

Advisor / Co-Founder

 

Mahendra Koteshwar

CTO

Koteshwar Software & Technology Consultants Pvt. Ltd.

Jeetendra Gangele

Data Engineering/Data science/Machine learning Architect

Housing.com

Ajay Pratap Singh Pundhir

Engineer I, Big Data Labs

American Express

Goutam Chowdhury

Lead Software Engineer

Thomson Reuters

Event Price list (11th)

Conference
(11th May)

Super Early Bird : Rs 7,000
(Till 11th March 2017)
Early Bird : Rs 8,000
(Till 11th April 2017)
Standard Price : Rs 9,000
(Till 11th May 2017)


   Register Via goeventz   

Brand your Organisation

Standard Price : Rs 30,000

You can also choose to strategically brand your organisation as per the below combo offer.

Package includes:

Full day attendance to the event

Website branding

Logo on brochure

Speaking Slot - 30 minute presentation slot or panel discussion (optional)

Lanyard branding

Brochure inserts

Please mail us : contact@unicomlearning.com

Event FAQS

Spark Kafka Summit 2017 in Bangalore is open to anyone who has an interest in the Spar, Kafka or any related field.

No

Yes, all conference attendees must register in advance to attend the event.

YES

Yes you can, please contact contact@unicomlearning.com with what you would like to be changed and we can assist.

Please fill the below details of your colleague and send us an email block the seats. Name
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Event Location

Hilton Bangalore Embassy GolfLinks
Off Intermediate Ring Road,
Embassy Golf Links Business Park,
Domlur, Bengaluru,
Karnataka 560071
Phone: 080667 99999

contact@unicomlearning.com

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Contact Us

Unicom Address

A.V.Bureaux,
2nd Floor, #99/A,
Green Glen Layout,
Bellandur,
Bangalore – 560103 ,
Karnataka, India.
Phone : +91-8042023134

contact@unicomlearning.com

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Disclaimer and Indemnity

"Confirm your CANCELLATION in writing up to 15 working days before the event and receive a refund less a 10% service charge. Regrettably, no refunds can be made for cancellations received less than 15 working days prior to the event.

However, SUBSTITUTIONS are welcome at any time and is done at no extra cost. The organisers reserve the right to amend the programme if necessary.

INDEMNITY: Should for any reason outside the control of UNICOM Training & Seminars (P) ltd (hereafter called UNICOM), the venue or the speakers change, or the event be cancelled due to industrial action, adverse weather conditions, or an act of terrorism, UNICOM will endeavour to reschedule, but the client hereby indemnifies and holds UNICOM harmless from and against any and all costs, damages and expenses, including attorneys fees, which are incurred by the client. The construction validity and performance of this Agreement shall be governed by all aspects by the laws of India to the exclusive jurisdiction of whose court the Parties hereby agree to submit."