Search results for hybrid cloud

    Found 34 documents, 10246 searched:

  • Cloud Computing Key Terms, Explained

    …mpanies to scale their costs as per need. It allows businesses to bypass infrastructural setup costs, which was inevitable prior to the advent of the cloud. Cloud computing mainly makes it possible for companies to get their applications deployed faster, without the need for excessive maintenance,…

    https://www.kdnuggets.com/2016/06/cloud-computing-key-terms-explained.html

  • Understanding Cloud Data Services">Gold BlogUnderstanding Cloud Data Services

    ...emerging discipline that companies need to own–it is difficult to outsource. Most data implementations utilize tools from multiple vendors, maintain hybrid cloud/on-premises systems, or rely on more than one Cloud Vendor. So, it becomes difficult to rely on a single company or Cloud Vendor to...

    https://www.kdnuggets.com/2019/06/understanding-cloud-data-services.html

  • Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

    ...ng Architect at VMware. More and more application workloads are moving to the different cloud platforms. This could be a move to a public, private or hybrid cloud (where the latter is a mixture of public and private). Big data and analytics application workloads are on the move too. It is important...

    https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.html

  • KDnuggets Exclusive: Marten Mickos, SVP, HP on Why the Future Belongs to “Hybrid Clouds”

    ...ucalyptus team possesses to make Helion OpenStack easier to use and operate, and to create various hybrid solutions. AR: Q3. How do you define “Hybrid Cloud”? What are the key advantages and challenges of Hybrid Cloud? MM: I see three main meanings of “hybrid cloud”. As a vendor, we...

    https://www.kdnuggets.com/2014/11/interview-marten-mickos-hp-future-hybrid-clouds.html

  • KDnuggets Exclusive: Marten Mickos, SVP, HP on the Role of Open Source in Cloud industry

    ...bike, and I go hiking. And I enjoy good food and wine in the company of great friends. Related: Marten Mickos, SVP, HP on Why the Future Belongs to “Hybrid Clouds” HP Perspective on Big Data and Analytics: Interview – Mazhar Hussain Is Data Scientist the right career path for you? Candid...

    https://www.kdnuggets.com/2014/11/interview-marten-mickos-hp-open-source-cloud.html

  • Top 10 Technology Trends of 2019

    ...to physical labor. It is predicted that AR software will become a key to the transformation of this sphere.   5. Connected clouds will shift to hybrid cloud solutions   The majority of companies now rely on cloud computing. Therefore, the consumption of cloud services is going to grow...

    https://www.kdnuggets.com/2019/02/top-10-technology-trends-2019.html

  • Big Data: Main Developments in 2017 and Key Trends in 2018">Silver BlogBig Data: Main Developments in 2017 and Key Trends in 2018

    ...Science started to gain more momentum. Based on new data platform releases in 2017 there has been a new trend made towards hybrid data management and hybrid cloud. 2017 has turned out to be a year of strategy and reassessment. Big Data is still very much a part of the strategy but with less...

    https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

  • Industry Predictions: Key Trends in 2017

    ...and sensor data from IoT systems. This means data processing and predictive algorithms will need to work smartly across IT systems, IoT aggregators, hybrid clouds, on-board sensors, and in complex embedded systems. 2017 Trends to Watch: Big Data report, Ovum Key 2017 trends: Machine learning will...

    https://www.kdnuggets.com/2016/12/industry-predictions-key-trends-2017.html

  • Interview: Dave McCrory, Basho on Distributed Database Needs of a Future Enterprise

    ...h. Second part of the interview Related: New Poll: Computing platform for your analytics, data mining, data science work or research Interview: Peter Alvaro, UC Berkeley, on Consistency Challenge in Distributed Systems Interview: Mac Devine, CTO, IBM Cloud on the Conflux of Cloud, IoT & Big...

    https://www.kdnuggets.com/2015/03/interview-dave-mccrory-basho-distributed-databases.html

  • Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018">Silver BlogIndustry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018

    ...ing in 2017 and what are key trends for 2018?” Some of the main topics that emerged are: AI is the new Big Data, More data moving to the cloud, Hybrid Cloud, Deep Learning Hype, Machine Learning in the Enterprise, AI/ML becoming industry specific, Self-Service BI, Automated Data...

    https://www.kdnuggets.com/2017/12/industry-predictions-main-developments-2017-trends.html

  • SiSense first In-Chip Analytics Solution in the Cloud

    ...ss analytics software include: No need to purchase and maintain expensive servers on premise Quicker deployment than on-premise through the Rackspace Hybrid Cloud Private Cloud resource allocation (no multi-tenanting) Fast upload of data into the Cloud (provided by Rackspace) Enterprise-grade...

    https://www.kdnuggets.com/2013/06/sisense-first-in-chip-analytics-solution--cloud.html

  • SiSense first In-Chip Analytics Solution in the Cloud

    ...ss analytics software include: No need to purchase and maintain expensive servers on premise Quicker deployment than on-premise through the Rackspace Hybrid Cloud Private Cloud resource allocation (no multi-tenanting) Fast upload of data into the Cloud (provided by Rackspace) Enterprise-grade...

    https://www.kdnuggets.com/2013/06/sisense-first-in-chip-analytics-solution--cloud.html

  • ASE International Conference on Big Data Science 2014: Day 3 Highlights

    ...sing with relational data they utilized the HIVE framework. More recently they have developed strategies for secure storage and query processing in a hybrid cloud. In particular, they have developed algorithms for query processing wherein user’s local computing capability is exploited alongside...

    https://www.kdnuggets.com/2014/08/ase-conference-big-data-science-day3.html

  • Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree

    ...oss_min = valid_loss # return trained model return model Developer Tools Train on more than one GPU Training Loops: Train and Forward Free GPU in the Cloud Thanks you new cloud technology like Google Colab. Once you set up the notebook, you can continue train and monitor on your mobile devices!...

    https://www.kdnuggets.com/2019/08/pytorch-cheat-sheet-beginners.html

  • KDnuggets™ News 13:n23, Sep 24

    ...s for proposals from academic/non-profit researchers for the use of Windows Azure, on topics including community data services, streaming data to the cloud, machine learning in the cloud, environmental science, astronomy, genomics, and urban science. Next deadline is Oct 15. SAP to buy predictive...

    https://www.kdnuggets.com/2013/n23.html

  • HPI Future SOC Lab offers researchers free access to a powerful Big Data & Computing infrastructure

    ...d SAP in 2010. Topics of interest for the HPI Future SOC Lab are: Service-oriented computing (SOC) and efficient management of concurrency and memory Cloud Computing for engineering and hosting distributed applications New applications exploring new ways of data processing, such as in-memory...

    https://www.kdnuggets.com/2016/02/hpi-future-soc-lab-free-access-powerful-infrastructure.html

  • KDnuggets™ News 14:n30, Nov 19

    ...el, learning from the success of Open Source in Web, trends and more. KDnuggets Exclusive: Marten Mickos, SVP, HP on Why the Future Belongs to “Hybrid Clouds” – Nov 13, 2014. In an exclusive interview with KDnuggets, Marten talks about the future of Eucalyptus (recently acquired...

    https://www.kdnuggets.com/2014/n30.html

  • Text Analytics 2015 – Technology and Market Overview

    ...opics, and trends. The response is two-fold: The situation remains that a strong majority of needs are met without reliance on as-yet-exotic methods. Hybrid approaches — ensemble methods — rule, and I mean hybrids that include humans in initial and on-going training process, via...

    https://www.kdnuggets.com/2015/03/text-analytics-2015-technology-market-overview.html

  • KDnuggets™ News 15:n11, Apr 15: Big Data Predictive Analytics Gainers & Losers; Awesome Public Datasets

    ...Berry, and learn how to create derived variables, which allow the statistical modeling process to incorporate human insights. Hadoop as a Service: 18 Cloud Options – Apr 2, 2015. Hadoop as a service in the cloud makes big data applications and projects easier to approach and these 18...

    https://www.kdnuggets.com/2015/n11.html

  • Unsupervised Investments: A Comprehensive Guide to AI Investors

    ...lio there are companies like Tissue Analytics, Wade and Wendy and Gridspace; Frost Data Capital (LA area): half incubator half VC, Frost is a sort of hybrid structure that created companies such as Maana or Sentrian; Future Perfect Ventures (NY): they are investors in machine learning and...

    https://www.kdnuggets.com/2017/03/unsupervised-investments-guide-ai-investors.html

  • Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

    ...arch is focused on the temporal and social modeling of student trace, survey, and interaction data, using sequential and process models. Professor in hybrid artificial intelligence – cognitive systems that integrate learning and reasoning at KU Leuven, Leuven, Belgium. – Jun 13, 2019....

    https://www.kdnuggets.com/academic/index.html

  • AI, Data Science, Machine Learning: Main Developments in 2016, Key Trends in 2017

    ...orate landscape – providing self-service, but with guidance and best practices; along with performance, governance and security. Beginnings of hybrid cloud adoption with scalable tenant resources and contextual routing, along with hybrid data and elastic compute engines. For 2017, I see more action...

    https://www.kdnuggets.com/2017/01/ai-data-science-machine-learning-key-trends.html

  • Top 10 roles in AI and data science">Silver BlogTop 10 roles in AI and data science

    ...multiplier, ensuring that your data science team isn’t off in the weeds instead of adding value to your business. The decision-maker + data scientist hybrid is a force-multiplier. Unfortunately, they’re rare and hard to hire. This person is kept awake at night by questions like, “How do we design...

    https://www.kdnuggets.com/2018/08/top-10-roles-ai-data-science.html

  • 5 Things You Need to Know about Sentiment Analysis and Classification">Gold Blog5 Things You Need to Know about Sentiment Analysis and Classification

    ...echniques, such as graphs, histograms, and confusion matrices. Because of present multiple data domains and tasks, visualizations approaches like wordcloud, interactive maps, sparkline-style plots are also very popular. Figure 4. Sentiment Word Cloud [4]   To dive deeper into the fascinating...

    https://www.kdnuggets.com/2018/03/5-things-sentiment-analysis-classification.html

  • 2nd Annual Global Data Science Conference, March 7-9, Santa Clara

    ...(Jim Porzak, Data Scientist, DS4CI) Detect Sensitive Data in Hadoop Clusters (Benoy Antony, Founder, DataApps) Case studies in connecting Devices to cloud – experience of an Indian Startup (Janakiram Dharanipragada, Senior Researcher, IIT, Madras) Introduction to Machine Learning &...

    https://www.kdnuggets.com/2016/02/global-data-science-conference-santa-clara-march.html

  • KDnuggets™ News 14:n33, Dec 10

    ...es, 30% off – Dec 8, 2014. Keep pace with the competition – upgrade your Big Data and Analytics skills with Simplilearn online courses in Cloud computing, Hadoop, SAS, R and more, now 30% off until Dec 31, 2014. EMC: Big Data, Data Science Courses, up to 57% off – Dec 4, 2014. EMC...

    https://www.kdnuggets.com/2014/n33.html

  • Virginia Tech: Data Engineer

    ...storage systems. Finally, he or she will integrate natural language processing techniques to transform raw feeds into rich, structured datasets. The hybrid software engineering / research team within DAC uses agile development methodology to build productions systems running 24/7. DAC offers...

    https://www.kdnuggets.com/jobs/15/06-15-vt-data-engineer.html

  • Interview: Anil Gadre, MapR on What it takes to Automate Data-to-Action?

    ...ntegration with Teradata using QueryGrid enables multi-tiered “Lambda Architecture” in terms of supporting streaming, interactive, and batch within a hybrid and well-orchestrated environment which reduces data deduplication and optimizes performance for various workloads. For example, we share a...

    https://www.kdnuggets.com/2015/06/interview-anil-gadre-mapr-data-to-action.html

  • 3 Biggest Challenges of a Data Scientist

    ...business and upper level management. Today’s data scientists need to both straddle the worlds of business boardrooms and IT as well as become a hybrid of them. But does their software support them in achieving these lofty goals? A data scientist worth his salt uses applications that help him...

    https://www.kdnuggets.com/2016/02/clicdata-3-biggest-challenges-data-scientist.html

  • Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming

    ...1-2. There are a few key lessons here. Firstly, at our scale (149 million daily active users as of Q4 2014) there is no one-size fits all solution – hybrid solutions such as our Hadoop/Exasol combination are needed. Secondly, we recently let our Hadoop cluster fill up a bit too much, which made it...

    https://www.kdnuggets.com/2015/03/interview-vince-darley-king-analytics-gaming.html

  • Top KDnuggets tweets, Jun 20-22: Great visualization of English letters; Good list of R functions to manipulate data

    ...& Its Applications, by Adam Gibson, cofounder of Blix.io buff.ly/1lHVO4T Wikipedia Usage Statistics – analyze this 4TB data set, now in AWS cloud #BigData buff.ly/Tl9JSg DataScienceCentral @analyticbridge list of “Must read resources” before a data science interview...

    https://www.kdnuggets.com/2014/06/top-tweets-jun20-22.html

  • Big Data Innovation Summit 2014 Santa Clara: Highlights of Selected Talks on Day 1

    ...e rise of patients. He proposed a solution to such problems by providing mobile prescription therapy, real-time coaching to patients and leveraging a cloud based expert analytics system. He explained that Mobile Health (mHealth) Factors are of three kinds: Clinical, Behavioral & Engagement and...

    https://www.kdnuggets.com/2014/04/big-data-innovation-summit-2014-talks-day1.html

  • Interview: Prateek Jain, Director of Engineering, eHarmony on Fast Search and Sharding

    ...running the engineering team that builds systems responsible for all of eHarmony’s matchmaking. Prior to this he spent numerous years building cloud based image processing systems and Network Management Systems in the Telecom domain. His areas of interest include Distributed Systems and High...

    https://www.kdnuggets.com/2014/05/interview-prateek-jain-eharmony-search-sharding.html

  • 11 segments of Big Data Ecosystem, according to Sqrrl

    ...sks and flash/SSD. Services providers: help with both strategy and implementation of Big Data solutions Cloud providers, offering public, private, or hybrid clouds Enterprise Data Warehouse (EDW) vendors: traditional EDW vendors and the relational databases that typically sit on top of them. Data...

    https://www.kdnuggets.com/2013/03/sqrrl-view-big-data-ecosystem.html

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