New York, NY, May 23, 2015 --(PR.com
With the landscape of big data and smart computing still evolving and maturing, it is a very challenging and complex endeavor to deal with the assessment, justification, adoption, planning, selection, verification, and formation of a feasible path to the architecting of big data solutions in a systematic and rightly-paced manner.
The Big Data Architecture Camp (BDAC) is an intensive content-packed workshop to effectively jumpstart or accelerate the big data architecture awareness, understanding, ramp-up, knowledge, and expertise, with lectures, case studies, and hands-on labs. It aims to equip the participants with the in-depth know-how and field experience about the big data architecture concepts, characterization, business values, terminologies, use cases, usage scenarios, framework, stack, platforms, taxonomy, patterns, standards, roadmapping, transformation, operationalization, modeling, design, engineering, solutioning, development, implementation, lifecycle, governance and management.
The hands-on sessions bridge the current IT knowledge assets with big data, facilitate the retooling of existing skillsets of IT stakeholders and accelerate the transition with boosted architecture readiness of resources. The working examples and case studies demonstrate the practical use of big data in cloud in the real-world projects with best practice guidelines and lessons learned, which helps the participants quickly learn how to apply what is covered in the camp to their daily work.
This camp covers the essential and advanced methods and disciplines of big data architecture. Here is what you will learn in the class:
Familiarize the cutting-edge methodology and patterns.
Understand the reference model and reference architecture.
Dive deep to the platforms and stacks.
Look into the high-level cloud-based architecture design.
Zoom in to the key considerations and best practices in big data solutioning.
Analyze the synergy of big data with cloud service and deployment models.
Investigate the disciplines of big data engineering and applied cloud engineering.
Go over predictive analytics solutions.
The class also presents leading-edge practices and future trends, coupled with real-life use cases and hands-on labs.
The course objectives are:
Cover the foundational aspects of Big Data and NoSQL
Present a holistic architecture framework for strategic adoption and pragmatic roadmapping
Explain a comprehensive categorization scheme for NoSQL products and packages
Walk through a reference architecture with a platform stack
Introduce the basic and advanced methods for NoSQL solutions
Study the high-level architecture design and considerations in Big Data solutioning
Explore emerging disciplines and forward-thinking outlook
Discuss the best practices from the real-world use cases and innovative implementations
After the training, the attendees will be equipped to identify the key features, benefits, impacts and use cases of the big data solutions and NoSQL architecture on-premise or off-premise. They will be able to explain the terms and best practices related to NoSQL and recognize key considerations and tradeoffs, which they should keep in mind, while designing cloudified big data applications and NoSQL data stores in a systematic fashion. They will be capable of applying what they have learned to the implementations of big data solutions and cloud deployments in production environments.
The class is taught by seasoned practitioners with 30 years field experience, who have been pioneering innovations in emerging technology areas such as Big Data, Cloud, SMAC, IoT, Devops, EA, and Microservices.
This introductory training is intended for junior and senior professionals with little or some years of development and implementation of IT solutions, as well as the well-experienced practitioners. Attendees include architects, tech leads, developers, analysts, scientists, engineers, strategist, consultants, managers, directors, executives, students, specialists, and testers.
General understanding of distributed applications and solution development lifecycle are expected for the participants, but there is no prerequisite to attend.
June 29 - July 1, 2015. 9:00am-4:00pm EDT
The camp well be held in Midtown New York City, New York. The detailed address and directions to the location will be sent to attendees prior to the event.
Instructor-led workshop with lectures, labs, team exercises and group discussions
Style: public class, open enrollment on first-come first-serve basis, certificate after passing an exam
Registration: Pre-registration is required at http://BigDataArchitectureCamp.eventbrite.com. Communications will be followed with those who have registered to complete/confirm the enrollment.
Fee: USD $2995/head each class. The class fee covers the training lectures, labs, course materials, drinks, snacks, etc.
Free lunch will be provided to participants.
If you complete the enrollment by May 31, 2015, you will be eligible for the shuffle drawing of prizes upon completion of the class.
Seats are limited, as we cap the total headcount to 12 to ensure the high quality of class and effective interactions. Please act fast.