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Big Data Analytics in the Cloud – The New World Order

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Big Data Analytics in the Cloud – The New World Order

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Over the last several years the ISP/XaaS/Cloud providers have greatly enhanced data manipulation and processing capabilities to enable users to crunch more data, more quickly, at more affordable costs. The business analytics software layer is exploding with innovations to leverage that increased processing power. From little known start-ups to the mega-stacks, many new capabilities exist to dynamically acquire, curate, blend, enrich and act upon data. These technologies enable more complex data mining, pattern detection, machine learning, predictive modeling, and insight generation – with a minimal reliance upon IT Operations. The “-- as a Service” model (XaaS) offered by Cloud platform providers are making it possible to stand-up complex Big Data Analytics solutions in a matter of days for pennies per gigabyte or processing-second. Learn how these technologies allow enterprises to go beyond traditional on-premise BI and analytics offerings into truly integrated advanced analytics solutions that will ultimately blur the line between business operations and business analytics.

You Will Learn

· How the hardware layers are evolving from the lowest level chipset to super-clusters to super-computers targeting advanced analytics workloads

· How software providers are removing the barriers to entry for advanced analytics

· How emerging Cloud Big Data Analytics services are bundling and provisioning platforms to address various advanced analytic workloads – and disrupt the traditional enterprise/RDBMS market

Geared To Chief Data Offices, Chief Information Officers, Chief Analytics Officers, Chief Technology Officers, Data Warehouse Architects, Enterprise Architects, Data Scientists, and Business Analysts

Presenter: Mike Lampa, Managing Partner of Archipelago IS, LLC

Mike Lampa is Managing Partner at Denver-based Archipelago Information Strategies. Archipelago is a business intelligence/advanced analytics consultancy & solution provider focusing on business outcome improvements through agile implementations of business discovery and predictive analytic solutions. Mike is responsible for Archipelago’s Service Delivery. Prior to joining Archipelago in 2013, Mike was Managing Director for Dell, where he implemented a global business intelligence practice. Mike was part of the team that formed strategic partnerships with major Business Intelligence software providers including Microsoft and SAP and was involved in the design and development of analytic solution offers including the Dell Quickstart Data Warehouse and Dell SAP HANA appliances. Mike’s responsibilities included creation of service catalogs & business intelligence/advanced analytics reference architectures; development of training programs & service delivery methods; creation & delivery of field enablement programs for sales, service delivery & partners; and definition of target markets, industry alliances & strategic partnerships with selected data warehousing and business intelligence service & software providers.

Prior to joining Dell in 2008, Mike owned and operated a data warehouse consulting practice providing comprehensive business intelligence & data warehousing consulting services as well as strategic consulting: program planning, architecture consultation & solution delivery to Fortune 1000 companies and governmental agencies across a variety of industries and jurisdictions.

Mike has over 32 years experience, the last 18 of which have been focused on data warehousing, business intelligence and advanced analytics. He is a sought after business leader, educator, and speaker. Mike serves as Faculty with the International Institute for Analytics (IIA) and as an instructor for The Data Warehousing Institute (TDWI). He also chairs BI tool user groups, writes for his own blog and has been published in TechTarget, DM Review & The Journal of Data Warehousing.

Mr. Lampa earned his bachelor’s degree in computer science, with a minor in economics, from Northern Illinois University.

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