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Big Data and Analytics Trends for 2015.

Big Data and Analytics Trends 2015 Extreme Real Time Big Data Analytics Capture and process data in seconds or milliseconds from multiple sources (both traditional and new), including streaming data, event streams, and message queues. 40% growth in data volume per year and will grow 50 times by 2020 Growth of Data Lakes The benefits derived from utilizing a highly scalable, distributed data store as a single repository (aka a data lake) for all one's data in its native format include: > Silo Elimination - Cost Reduçtions - Single Source of Truth 10 -100x less expensive to deploy Hadoop than conventional data warehousing. Accelerated Adoption of Big Data Analytics at the Point of Decision Speedy insights at key decision points in the enterprise will show quickest returns on big data analytics investments. 74% of executives surveyed expect new data-driven insights at an accelerating pace over the next 12 to 18 months Data Governance for Big Data Existing data governance functions are not sufficient to cope up with growing data requirements Big Data technology platform, increased demand of agility from business, and exploding growth of unstructured data 8U% of the information created and used by an enterprise is unstructured data content Big Data Analytics Processing in the Cloud Cloud computing models can help accelerate the potential for scalable analytics solutions. Clouds offer flexibility and efficiencies for accessing data, delivering insights, and driving value. $180 44% billion is the predicted end user spending in 2015 annual growth in workloads for public cloud versus 8.9% for on-premise computing expected in next 5 years Developing Deep Learning Capabilities Deep learning enables computers to recognize items of interest in large quantities of unstructured and binary data and to deduce relationships without needing specific models or programming instructions are an important future trend. 30+ Petabytes of user generated data are stored accessed and analyzed Big Data Analytics Shaping Consumer Behavior Opportunity to define and shape the behaviors of our target audiences and maximize our efforts to reach, engage and compel them to action. $28.1 billion rise is expected for the Internet-of-Things' market by 2020 Wearable Technology Fueling Big Data - Commercially available data that users may willingly share - 'Always on' engagement with customer $70 billion is the expected market reach for wearable technology by 2024 SQL on Hadoop Emergence of SQL as a preferred tool to query large scale data sets requiring responses in milliseconds SQL already a preferred enterprise tool for decades, and has strong compatibility with Hadoop ecosystem 90% data in the world today has been created in the last two years alone Big Data Beyond Data Scientists Increasing demand for varied roles - Predictive Analytics developers, Visualization experts, Hadoop specialists etc. 160% growth in demand for Big Data skills between 2013- 2020 in the UK alone Sources • http://www.dataversity.net/data-lakes-complicating-big-data-governance/ • http://www.computerworld.com/article/2690856/8-big-trends-in-big-data-analytics.html • http://www.intel.com/content/dam/www/public/us/en/documents/product-briefs/big-data-cloud-technologies-brief.pdf • http://siliconangle.com/blog/2014/01/27/20-cloud-computing-statistics-tc0114/ • https://cdsglobalsummit2014.attendease.com/schedule/sessions/using data_to_predict shape_consumer_behavior.html • http://www.splunk.com/web_assets/pdfs/secure/Real-time_Business Analytics_from_Big Data.pdf • http://www.Intinfotech.com/resources/documents/datagovernanceforbigdatasystems_whitepaper.pdf • http://www.ibm.com/smarterplanet/us/en/business_analytics/article/it_business_intelligence.html • https://www.mapr.com/why-hadoop/sql-hadoop/sql-hadoop-details • http://searchbusinessanalytics.techtarget.com/feature/Selecting-the-right-SQL-on-Hadoop-engine-to-access-big-data • http://ibmdatamag.com/2014/03/going-beyond-data-science-toward-an-analytics-ecosystem-part-1/ • http://www.ibm.com/smarterplanet/us/en/business analytics/articie/it_business_intelligence.html http://www.computerworld.com/article/2509588/data-center/world-s-data-will-grow-by-50x-in-next-decade--idc-study-predicts.html • http://www.computing.co.uk/ctg/news/2272640/wearable-technology-will-be-powerful-for-big-data-analytics-says-rackspace • http://www.ibmbigdatahub.com/gallery/quick-facts-and-stats-big-data http://www.emc.com/collateral/analyst-reports/idc-the-digital-un7iverse-in-2020.pdf • http://slimbeleggen.net • http://www.idtechex.com/research/reports/wearable-technology-2014-2024-technologies-markets-forecasts-000379.asp • http://diginomica.com/2014/11/11/want-double-pay-become-big-data-expert/#.VGYIB_nF_To • IBM Institute of Business Value rging-markets-crisis/48832/ [email protected] www.aureusanalytics.com www.facebook.com/aureusanalytics www.twitter.com/aureusanalytics www.linkedin.com/company/aureus-analytics AUREUS ANALYTICS •••.....•••..... ........ ........ ....

Big Data and Analytics Trends for 2015.

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Here is the summary of latest trends in Big data and analytics for 2015 which points to real-world progress that is been happening around.

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