[Webinar] Top Strategies for Successful Big Data Projects

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Big Data expert and Infochimps Product Manager Tim Gasper shares insights and explains how to effectively execute your Big Data project while avoiding the most common pitfalls.

Tecnología

#bdsuccess

top strategies
for successful big data projects
Tim Gasper
Product Manager
Infochimps, Inc.

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#1 big data platform for the cloud

some of our customers our partners

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big data
data science

big data
application
development

big data
business
intelligence

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agenda
• why you care about big data
• too many big data projects fail
• 7 strategies for success
• q&a

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BIG DATA
• volume • scalable
• velocity • intelligent
• variety • agnostic
• variability • holistic
• veracity

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44% of big data
projects are cancelled
versus 25% for IT projects in general
and many more fail to
achieve project objectives
Infochimps/SSWUG Enterprise Big Data Survey 2012
Dynamic Markets Enterprise IT Survey 2008

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why do projects fail?
• business
• inaccurate scope
• not enough time / deadlines busted
• non-cooperation between departments
• having the right talent / lack of expertise
• technical
• technical or roll-out roadblocks
• gathering data from different sources
• finding and understanding tools, platforms,
technologies
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how do I prevent failure?

mapping common challenges
to 7 simple strategies for
big data project success

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define the problem
• what are your business goals
• identify the greatest
opportunities and challenges
• eat a frog

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think BIG and be SPECIFIC
• what big goal are you tackling
• don’t waste your time
• is it specific enough
• is there a project
• you can’t eat an elephant in
one bite
• get to something you can
measure
• set your priorities

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identifying projects
• new business initiatives
• enhancements to current
operations, systems, and
processes
• replacements for legacy
operations, systems and
processes

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map priorities to technologies
• business value  technology
• think high-level because the tech
is changing rapidly
• impala vs hive vs hadapt vs
vertica vs …
• batch vs real-time
• proprietary vs open
• DIY vs IaaS vs PaaS
vs SaaS

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hit the ground running
• avoid analysis paralysis
• take a phased approach
• test and iterate as you go
• you’ve done your
homework, you have
your compass
• know what to do with the
data

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manage scope creep
• manage requirements and
expectations
• manage complexity
• manage people creep
• manage technology creep

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embrace the cross-organizational
nature of big data
• who are your initial users
• who else can benefit
• other departments
• other use cases
• other data sources,
systems, and tools
• what are the next steps

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drive business value
• don’t be driven by technology, be
driven by business needs
• what is the point of big data
• NOT a cost center
• time to business value
• speed to insight
• data driven decisions
• go FAST and do AWESOME

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Let’s discuss your big data projects and ideas.
infochimps.com/free-big-data-consultation

sales@infochimps.com
follow us: @infochimps

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Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

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Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

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The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

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Victor Rentea

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Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

apidays

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

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[Webinar] Top Strategies for Successful Big Data Projects

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[Webinar] Top Strategies for Successful Big Data Projects