Microsoft Internet of Things konference 2015 - IoT og Business Intelligence
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The document discusses the growth of digital devices and data. It notes that the number of internet-connected devices grew from 1 billion in 2013 to over 20 billion in 2018. The amount of data generated has also grown enormously, from 0.16 zettabytes in 2006 to an estimated 44 zettabytes by 2020. However, the document also states that digital development is stagnating according to an index that measures digital evolution. It then provides an example of an IoT solution from Fujitsu for monitoring cows.
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Microsoft Internet of Things konference 2015 - IoT og Business Intelligence
- 2. VÆKST I INTERNETFORBUNDNE ENHEDER 1=1 MIA. ENHEDER 2013 2014 2015 2016 2017 20192018 20 15 10 5 INTERNET OF THINGS PC, SMARTPHONE & TABLET 0
- 3. 2006: 0,16 ZETTABYTES DATA 1 ZETTABYTE = 1 MIA. TERABYTES 2013: 4,4 ZETTABYTES DATA 2020: 44 ZETTABYTES DATA MÆNGDEN AF DATA
- 4. 1920’erne 2010’erne Kilde: Yale Professor Richard Forster SUCCESFULD I DAG – MEN HVAD MED I MORGEN? 1980’erne 75% 2020’erne GENNEMSNITLIG LEVETID FOR VIRKSOMHEDER I STANDARD & POOR’S 500-INDEKSET 15ÅR 25%
- 5. OUR DIGITAL DEVELOPMENT STAGNATES Kilde: Digital Evolution Index, The Fletcher School at Tufts University – bragt i Harvard Business Review februar 2015
- 7. FUJITSU HAR L AVET EN LØSNING: INTERNET OF COWS
- 18. Demo
- 19. IoT Demo – Fleet Management
- 20. Stream Analytics TransformIngest Overall Architecture Web logs Present & decide Sensor Social Data Event Hubs HDInsight Azure Data Factory Azure SQL DB Azure Blob Storage Azure Machine Learning Power BI Web dashboards Mobile devices DW / Long-term storage Predictive analytics Event & data producers APS
- 21. IoT Demo – Rockwell Automation Asset Management Demo
- 26. Data Usage SSRS SharePoint BI Excel BI Power BI Azure Marketplace Data ProcessingStorageData Generation MAHOUT HIVE HIVE OOZIE SQOOP PIG SQL Server Analysis Services Azure HDInsight (Hadoop) Azure Machine Learning Data WarehouseAzure Document DB Azure SQL DB HBase on Azure HDInsight Azure Data Lake Datamarts and other transactional systems Big Data Sources (Raw Unstructured) Log files Azure Website AZURE DATA FACTORY Hadoop in VM Azure SQL DW Sell the End-to-End Stack with Azure Data Lake Revolution R