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Big Data
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1 dag 5 900 kr
Big Data has become THE buzzword in today’s media. Unfortunately, most in-depth information on Big Data are for those building the solution, not those seeking a competiti... [+]
Big Data has become THE buzzword in today’s media. Unfortunately, most in-depth information on Big Data are for those building the solution, not those seeking a competitive edge through advanced analytics. Now we share our experience and best practices. Learn about advanced analytics and how big data can be transform your business. Get fundamental understanding of principles, techniques and platforms, and be informed about the challenges involved in implementing a solution. Most people in business find it difficult to make decisions based on the large amount of information they have. Big Data is about solving this challenge. Affecto has more than 15 years of experience in Business Intelligence and Big Data. A deeper understanding of available business information may create development opportunities and can transform knowledge into action through good decision-making. Real time information and self-service give you precise and relevant information. This way you can take smart decisions and give personalized service and advice. Content:What is Big Data, and how to make use of it? Is Big Data just a hype? Innovation with Big Data Client cases and best uses of Big Data in real life Hands-on training Data discovery and analysis with new tools such as IBM Watson and Blue Mix What are the main technologies within Big Data? Data sources Visualization Analysis and data mining Implementation Introduction to data mining and Big Data techniques Big Data and marketing: Segmenting and targeting your audience Social media analytics. How to get data from the web and understand the buzz Text mining. How to understand text and boost your prediction level Internet of Things and Big Data: Utilizing sensor data for predictive maintenance and analytics Hands-on training Vizualisation and analysis with tools as Tableau Big Data challenges How to choose the right tools Organizing Big Data projects How to get started with Big Data successfully   OM CGI CGI Group Inc. ble grunnlagt i 1976 og er verdens femte største uavhengige leverandør av tjenester innen IT- og forretningsprosesser. Med 74 000 medarbeidere over hele verden, leverer CGI en portefølje av ende-til-ende løsninger innen avanserte IT- og forretningskonsulenttjenester, systemintegrasjon og utsetting av IT- og forretningsprosesser. CGIs modell med kundenærhet, et globalt leveransenettverk og egne løsninger bidrar til at kundene hurtigere oppnår resultater og bidrar til deres digitale transformasjon. CGI har en samlet årlig omsetning på over 60 milliarder NOK. CGI-aksjene er notert på TSX (GIB.A) og NYSE (GIB). Hjemmeside: www.cgi.com [-]
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1 dag 4 900 kr
Dave Wells: Practice Director, Data Management at Eckerson Group   Dave Wells is an advisory consultant, educator, and industry analyst dedicated to building meaningful c... [+]
  OM CGI   CGI Group Inc. ble grunnlagt i 1976 og er verdens femte største uavhengige leverandør av tjenester innen IT- og forretningsprosesser. Med 74 000 medarbeidere over hele verden, leverer CGI en portefølje av ende-til-ende løsninger innen avanserte IT- og forretningskonsulenttjenester, systemintegrasjon og utsetting av IT- og forretningsprosesser. CGIs modell med kundenærhet, et globalt leveransenettverk og egne løsninger bidrar til at kundene hurtigere oppnår resultater og bidrar til deres digitale transformasjon. CGI har en samlet årlig omsetning på over 60 milliarder NOK. CGI-aksjene er notert på TSX (GIB.A) og NYSE (GIB). Hjemmeside: www.cginorge.no     Dave Wells: Practice Director, Data Management at Eckerson Group   Dave Wells is an advisory consultant, educator, and industry analyst dedicated to building meaningful connections throughout the path from data to business value. More than forty years of information systems experience combined with over ten years of business management give him a unique perspective about the connections among business, information, data, and technology. Stories are powerful things that have been used throughout history to capture attention, convey ideas, fire the imagination, and stir the soul. A well-told story can also give life to data. On the surface, storytelling appears to be the opposite of analytics: anecdotal instead of quantitative. But quantities aren't the only way, and often not the ideal way to convey information. Not everyone is a quant who thinks natively in numbers. Some think in pictures, thus the popularity of data visualization. Still others prefer to treat data as secondary; they are more interested to understand its meaning through anecdotes, metaphors, and examples. Storytellers reach the quants and the non-quants, too. They don't dismiss the value of the quants—quantification is the foundation. In fact, storytellers amplify quantification by rendering data and the events that it reflects with visuals, words, or other media. They communicate the what, when, where, who, and why of business past, present, and future more persuasively than could be done with data alone.      You Will Learn:    •Four reasons to pursue the art of storytelling   •How to find the stories in data   •How to choose the best media for storytelling   •How to compose captivating and compelling stories   [-]
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3 timer 2 500 kr
  Dave Wells: Practice Director, Data Management at Eckerson Group   Dave Wells is an advisory consultant, educator, and industry analyst dedicated to building ... [+]
  Dave Wells: Practice Director, Data Management at Eckerson Group    Dave Wells is an advisory consultant, educator, and industry analyst dedicated to building meaningful connections throughout the path from data to business value. More than forty years of information systems experience combined with over ten years of business management give him a unique perspective about the connections among business, information, data, and technology.   Managing data in an analytics- driven organization is complex and challenging. Abundant data sources, variety of data types, and multiple use cases result in many data pipelines—possibly as many as one distinct pipeline for each use case. Capabilities to find data, manage dataflow and workflow, and deliver the right data in the right forms for analysis are essential for all who seek to become analytics-driven organizations.    Multiple and complex data pipelines quickly become chaotic with pressures of agile, democratization, self-service, and organizational “pockets” of analytics. Increased difficulty of governance and uncertainty of data usage are only the beginning. From enterprise BI to self-service analysis, data pipeline management should ensure that data analysis results are traceable, reproducible, and of production strength. Robust pipeline management works across a variety of platforms from relational to Hadoop, and recognizes today’s bi-directional data flows where any data store may function in both source and target roles.    You Will Learn:    •The challenges and complexities of modern data pipelines •Why dataflow and workflow are critical parts of analytics architecture and how they fit into architecture •The roles and functions of metadata in pipeline management •The important relationships of pipeline management and data governance •How to define and design data pipelines •The state of tools and technologies to support pipeline management    OM CGI   CGI Group Inc. ble grunnlagt i 1976 og er verdens femte største uavhengige leverandør av tjenester innen IT- og forretningsprosesser. Med 74 000 medarbeidere over hele verden, leverer CGI en portefølje av ende-til-ende løsninger innen avanserte IT- og forretningskonsulenttjenester, systemintegrasjon og utsetting av IT- og forretningsprosesser. CGIs modell med kundenærhet, et globalt leveransenettverk og egne løsninger bidrar til at kundene hurtigere oppnår resultater og bidrar til deres digitale transformasjon. CGI har en samlet årlig omsetning på over 60 milliarder NOK. CGI-aksjene er notert på TSX (GIB.A) og NYSE (GIB). Hjemmeside: www.cginorge.no    [-]
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1 dag 4 900 kr
Dave Wells: Practice Director, Data Management at Eckerson Group   Dave Wells is an advisory consultant, educator, and industry analyst dedicated to b... [+]
   Dave Wells: Practice Director, Data Management at Eckerson Group   Dave Wells is an advisory consultant, educator, and industry analyst dedicated to building meaningful connections throughout the path from data to business value. More than forty years of information systems experience combined with over ten years of business management give him a unique perspective about the connections among business, information, data, and technology.    The once simple world of data preparation—ETL for operational data integration—changed radically with the emergence of self-service data analysis and visualization tools. Every line-of-business data analyst needs the ability to prepare data before analysis. The exciting work of analytics doesn’t work well until the data is ready for meaningful analysis.    The common practice of using spreadsheets to improve, enrich, blend, and format data is inefficient, time consuming, and error prone. Modern data preparation technologies meet the challenges with business-friendly and code-free tools. When your analytics projects spend more time finding and fixing data than analyzing the data, you really need to make a change. Learn about the tools and techniques that can help individuals and teams—both business and technical—to cleanse, combine, format, and sample data for analytics.     You Will Learn:  •The common challenges of data preparation in the age of big data   •Techniques for data preparation that improve both speed and quality of analytics activities   •The business case and the technical case for data preparation tools   •The data management and governance benefits of data preparation technologies   •The landscape of tools and technologies for modern data preparation     OM CGI   CGI Group Inc. ble grunnlagt i 1976 og er verdens femte største uavhengige leverandør av tjenester innen IT- og forretningsprosesser. Med 74 000 medarbeidere over hele verden, leverer CGI en portefølje av ende-til-ende løsninger innen avanserte IT- og forretningskonsulenttjenester, systemintegrasjon og utsetting av IT- og forretningsprosesser. CGIs modell med kundenærhet, et globalt leveransenettverk og egne løsninger bidrar til at kundene hurtigere oppnår resultater og bidrar til deres digitale transformasjon. CGI har en samlet årlig omsetning på over 60 milliarder NOK. CGI-aksjene er notert på TSX (GIB.A) og NYSE (GIB). Hjemmeside: www.cginorge.no      [-]
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Nettkurs 1 semester 5 250 kr
Business value of big data. Content, capabilities and applications of big data. Introduction to big data techniques. [+]
  Studieår: 2018-2019   Gjennomføring: Høst og vår Antall studiepoeng: 5.0 Anbefalt forkunnskap: Some experience with programming and databases will be an advantage. Innleveringer: There are four mandatory exercises that must be submitted and approved. Vurderingsform: 24-timers hjemmeeksamen, individuell.  Ansvarlig: Nils Tesdal         Faglig innhold: Business value of big data. Content, capabilities and applications of big data. Introduction to big data techniques. Læremål: KNOWLEDGE (kunnskaper):The candidate:- Understands business value of big data- Knows about content, capabilities and applications of big data- Knows about techniques for analysis and visualization of big data- Is familiar with big data architecture- Understands privacy and trust issues in big data SKILLS (ferdigheter):The candidate:- Can articulate and communicate with stakeholders the business value of big data- Can structure the process of big data analytics- Can propose and use relevant big data techniques in practical projects GENERAL COMPETENCE (generell kompetanse):The candidate:- Has an understanding of the significance of big data in companies and society at large- Can take part in planning and implementation of big data projects- Can identify, plan and implement individual tasks in big data projects Påmeldingsfrist: 25.08.18 / 25.01.19         Velg semester:  Høst 2018    Vår 2019     Fag Big data 5250,-         Semesteravgift og eksamenskostnader kommer i tillegg.  [-]
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2 dager 13 500 kr
Course Overview This course is applicable to software version 10. Learn the mechanics of Data Integration using the Informatica Developer tool for Big Data Development. T... [+]
Course Overview This course is applicable to software version 10. Learn the mechanics of Data Integration using the Informatica Developer tool for Big Data Development. This course takes you through the key components to develop, configure, and deploy data integration mappings.    Objectives After successfully completing this course, students should be able to: Extract data from relation and flat file sources Develop commonly used transformations for mappings Automate metadata changes through dynamic mappings Parameterize mappings  Assemble mappings into workflows Deploy mappings and workflows as applications Target Audience Developer Prerequisites Previous experience with an RDBMS environment    Agenda Module 1: Fundamentals Introduction to the Developer tool Brief Overview of Big Data Management Architecture Reviewing the Developer interface Module 2: Developing Physical Data Objects Introduction to the types of physical data objects Using relational connections Using flat file connections Synchronize a flat file data object Module 3: Viewing Data Introduction to data views Troubleshooting configurations Reviewing logs Monitoring activities Module 4: Developing Mappings and Transformations Mapping and transformation concepts Core transformations Developing and validating a mapping Using transformations in a mapping Module 5: Working with Dynamic Schema and Dynamic Mappings Introduction to dynamic mapping concepts Developing and running a dynamic mapping Reviewing a mapping template Module 6: Deploying Applications  Deploying Applications for Users Create, deploy, and run an application Module 7: Parameters Using Parameters Types of Parameters Parameter file and Parameter set Run mappings with parameter file and parameter set Module 8: Workflows Working with Workflows Create a workflow Configure a workflow Add a conditional sequence flow OM CGI CGI Group Inc. ble grunnlagt i 1976 og er verdens femte største uavhengige leverandør av tjenester innen IT- og forretningsprosesser. Med 74 000 medarbeidere over hele verden, leverer CGI en portefølje av ende-til-ende løsninger innen avanserte IT- og forretningskonsulenttjenester, systemintegrasjon og utsetting av IT- og forretningsprosesser. CGIs modell med kundenærhet, et globalt leveransenettverk og egne løsninger bidrar til at kundene hurtigere oppnår resultater og bidrar til deres digitale transformasjon. CGI har en samlet årlig omsetning på over 60 milliarder NOK. CGI-aksjene er notert på TSX (GIB.A) og NYSE (GIB). Hjemmeside: www.cgi.com [-]
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