Search results for Cloud Computing

    Found 60 documents, 10397 searched:

  • The Internet of Things in the Cloud

    ...IoT ecosystems up-to-date are cloud-based, as will be illustrated in subsequent chapters of the tutorial. Prior to describing the essence of IoT and cloud computing integration, we briefly introduce the main cloud computing concepts. Αn in-depth presentation of cloud computing can be found in...

    https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.html

  • Cloud Computing Key Terms, Explained

    …are supported on the cloud. On the whole, the cloud is basically an umbrella term that covers on-demand access to various computing resources. Today, cloud computing is viewed as a utility that offers powerful computing and resources, at extremely affordable costs. So, in this era of cloud

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

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

    ...ecture, Charlie recently led the development of Autodesk’s big data platform built to support their migration to subscription and the cloud. Related: Cloud Computing Key Terms, Explained 8 Reasons Why You Should Get a Microsoft Azure Certification Ready your Skills for a Cloud-First World with...

    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

    ...ce 2007. Justin works with VMware’s customers and field engineering to create guidelines and best practices for using virtualization technology for big data. He has spoken at a variety of conferences on these subjects and has published blogs, white papers and other materials in this field. Related:...

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

  • Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Gold BlogComparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

    ...ng implies having multiple machines with tasks split across them. However, this approach isn’t going to work for all machine learning techniques. Use cloud computing for scalability. If your models process customer-related data that has intensive peak-moments, cloud computing services will allow...

    https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html

  • Everything a Data Scientist Should Know About Data Management">Platinum BlogEverything a Data Scientist Should Know About Data Management

    ...and might become a bottleneck when you’ve to retrain your models regularly (thus causing another “heads-rolling” situation). For data science in the cloud, most cloud providers are working hard to develop their native machine learning capabilities that allow data scientists to build and deploy...

    https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

  • Best Deals in Deep Learning Cloud Providers: From CPU to GPU to TPU

    ...riting. However, TPU support for PyTorch (and thus FastAI) is in the works — Google engineers are prototyping it now — as of October 25, 2018. Google Cloud Google Cloud Compute Engine is a more powerful and customizable cloud option than Colab. Like AWS, it requires some configuration, a...

    https://www.kdnuggets.com/2018/11/deep-learning-cloud-providers-cpu-gpu-tpu.html

  • Interview: Mac Devine, CTO, IBM Cloud on the Conflux of Cloud, IoT & Big Data

    ...echnical due diligence for the SoftLayer acquisition which lead to the creation of IBM Cloud Services Division. He co-authored Springer’s Handbook of Cloud Computing used by colleges and universities First part of interview. Here is second and last part of my interview with him: Anmol Rajpurohit:...

    https://www.kdnuggets.com/2014/12/interview-mac-devine-ibm-cloud-iot-big-data.html

  • KDnuggets Interview: Michael Brodie on Data Curation, Cloud Computing, Startup Quality, Verizon (part 2)

    ...g engineers [PhDs actually] with lots of energy and a killer idea. Jisto is an exceptional example of the quality you ask about in the next question. Cloud computing enabled by virtualization is radically changing the world by reducing the cost and increasing the availability of computing...

    https://www.kdnuggets.com/2014/04/interview-michael-brodie-2-data-curation-cloud-computing-verizon.html

  • Usage Patterns and the Economics of the Public Cloud

    ...f high demand to discourage overuse. Our scientific understanding of peak-load pricing focuses on three industries: electricity, airlines and hotels. Cloud computing thus seems to offer a fourth large industry where dynamic prices are expected to be important. And yet cloud providers overwhelmingly...

    https://www.kdnuggets.com/2017/07/usage-patterns-economics-public-cloud.html

  • Interview: Mac Devine, CTO, IBM Cloud on the Fast Approaching Perfect Storm

    ...echnical due diligence for the SoftLayer acquisition which lead to the creation of IBM Cloud Services Division. He co-authored Springer’s Handbook of Cloud Computing used by colleges and universities Here is my interview with him: Anmol Rajpurohit: Q1. While sharing your vision for the future, you...

    https://www.kdnuggets.com/2014/12/interview-mac-devine-ibm-cloud-perfect-storm.html

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

    ...e communities. Mickos joined HP in September 2014. Prior to HP, Mickos was CEO of Eucalyptus Systems, provider of the only AWS-compatible open source cloud computing platform. Before that as CEO of MySQL AB, Mickos grew that company from a garage start-up to the second largest open source company...

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

  • 8 Reasons Why You Should Get a Microsoft Azure Certification">Silver Blog8 Reasons Why You Should Get a Microsoft Azure Certification

    ...earn. Sponsored Post. The technology industry has seen a major shift recently—mostly towards cloud computing. Defined as a web-based computing model, cloud computing allows users to share information with other devices and computers instantly. This can allow multiple people to access the same files...

    https://www.kdnuggets.com/2019/03/simplilearn-8-reasons-microsoft-azure-certification.html

  • Intel’s Investments in Cognitive Tech: Impact and New Opportunities

    ...sed and use-cases of technology will diversify. Intel’s investments also indicate where money is likely to move to in the future, e.g. into cognitive computing in the cloud and on a device. Challenges associated with Intel’s strategy also open opportunities for cognitive tech companies. For...

    https://www.kdnuggets.com/2016/05/intel-investment-cognitive-tech-impact-new-opportunities.html

  • Hadoop as a Service: 18 Cloud Options

    ...rectly on data in Google Cloud Storage, without copying to local disk and running Hadoop Distributed File System (HDFS). HP Cloud provides an elastic cloud computing and cloud storage platform to analyze and index large data volumes in the hundreds of petabytes in size, HP asserts. IBM BigInsights...

    https://www.kdnuggets.com/2015/04/hadoop-as-service-18-cloud-options.html

  • Benchmarking Big Data SQL Platforms in the Cloud

    ...SQL support. Databricks in the Cloud vs Apache Impala On-prem Apache Impala is another popular query engine in the big data space, used primarily by Cloudera customers. Cloudera publishes benchmark numbers for the Impala engine themselves. The most recent benchmark was published two months ago by...

    https://www.kdnuggets.com/2017/09/databricks-benchmarking-big-data-sql-platforms-cloud.html

  • The Internet of Things: An Introductory Tutorial Series

    ...geneous objects, or even to compose services based on the interactions of multiple objects. Chapter 4: Internet of Things in the Clouds The advent of cloud computing has acted as a catalyst for the development and deployment of scalable Internet-of-Things business models and applications....

    https://www.kdnuggets.com/2017/07/iot-internet-of-things-intro-tutorial-series.html

  • Ready your Skills for a Cloud-First World with Google

    ...online predictions. Being able to put a link to a working ML model like ML Poetry or Babyweight beats buzzwords on a resume any time. With the Google Cloud learning programs offered on Coursera, you can gain in-demand Cloud, Data, and Machine Learning skills from Google experts. This is your chance...

    https://www.kdnuggets.com/2018/07/coursera-skills-cloud-first-world-google.html

  • Computing Platforms for Analytics, Data Mining, Data Science

    ...e average data miner in this poll used 1.4 platforms. 54% used only PC/laptop, 9% used only dept server, and 5% only the cloud. Among those that used cloud computing, 59% of them used private cloud, 46% used public cloud, and 6% used both. Next poll question was on processing power. How many...

    https://www.kdnuggets.com/2015/04/computing-platforms-analytics-data-mining-data-science.html

  • HPE Haven OnDemand: Powerful Data Connectors for the Cloud and Enterprise

    ...amed myindex. Connectors can be set to run on a schedule. Note that if the schedule parameter is not set initially, that cloud flavor connectors (web cloud, dropbox cloud) require a start connector to initialize, while onsite connectors (file system, sharepoint) run each time you start the onsite...

    https://www.kdnuggets.com/2016/09/hpe-haven-ondemand-powerful-data-connectors-cloud-entrprise.html

  • How To Work In Data Science, AI, Big Data">Silver BlogHow To Work In Data Science, AI, Big Data

    ...within this interconnected world. This will also open your mind and give you an insight into other cultures and values, and how they use their data. Cloud computing also means that you no longer need a physical presence in a country to operate in it, so you need to be open to building systems...

    https://www.kdnuggets.com/2019/03/work-data-science-ai-big-data.html

  • Big Data Key Terms, Explained

    ...e refers to what insight can be leveraged from the patterns, processing, and other Big Data-related tasks on the data in question. 8. Cloud Computing Cloud computing, or what is simply referred to as the cloud, can be defined as an Internet-based computing model that largely offers on-demand access...

    https://www.kdnuggets.com/2016/08/big-data-key-terms-explained.html

  • iSight Cloud – Lightning fast visualizations on large data sets

    ...s. The figure below depicts this architecture. If you are intrigued by this new capability and eager to give it a try then... We are launching a FREE cloud service called iSight-Cloud so anyone can try our engine and provide us some feedback. You can try our simple demos in a visual environment or...

    https://www.kdnuggets.com/2016/11/snappydata-isight-cloud-fast-visualizations-large-data.html

  • Tips for a cost-effective machine learning project

    ...certificate are free on Netlify. Serving the API with serverless computing Each cloud provider offers a serverless computing service; we chose Google Cloud and its cloud functions. Google cloud has a tutorial on how to serve machine learning models through cloud functions. With this tutorial as a...

    https://www.kdnuggets.com/2019/11/tips-cost-effective-machine-learning-project.html

  • Interview: Arpit Gupta, CEO, Actionable Analytics on Enterprise Challenges in Big Data and Cloud

    ...o for the low hanging fruits and generate the momentum to run big ticket projects. AR: Q3. What do you think of the relationship between Big Data and Cloud Computing? AG: Cloud has made the storage of data very cheap. It offers the scale for distributed computing at a pay as you go pricing model....

    https://www.kdnuggets.com/2014/08/interview-arpit-gupta-enterprise-big-data-cloud.html

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

    ...sses for achieving the best possible software architecture in a meritocracy. It’s not easy, but I think it can be done. AR: Q9. What recent trends in cloud computing are of the most interest to you? MM: Everything is changing in the shift to cloud, so the list will be very long! But perhaps an area...

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

  • Introducing Cloud Hosted Deep Learning Models

    ...work with these deep learning frameworks in the cloud,” Kenny Daniel says, Algorithmia founder and CTO. “The GPU was never designed to be shared in a cloud service like this.” Hosting deep learning models in the cloud can be especially challenging due to complex hardware and software dependencies....

    https://www.kdnuggets.com/2016/07/algorithmia-cloud-hosted-deep-learning-models.html

  • Simplilearn Big Data and Analytics courses, 30% off

    ...now More Complete Big Data and Cloud Computing Suite Course Includes:    Big Data and Hadoop Developer Training    EXIN Cloud Computing Training    CompTIA Cloud Essentials Training    CompTIA Cloud+ Training    Advanced...

    https://www.kdnuggets.com/2014/12/simplilearn-big-data-analytics-courses-30pct-off.html

  • Latest Trends in Computer Vision Technology and Applications

    ...onexistent without it reflecting on the results of the analysis. Furthermore, edge computing can offset some of the costs of usage and maintenance of cloud computing for data sharing. For computer vision software, this means a possibility to respond even better in real time, and only move relevant...

    https://www.kdnuggets.com/2018/11/trends-computer-vision-technology-applications.html

  • Deep Learning on the Edge

    ...earning, and the problems associated with it. Why edge? Why not use the cloud? There is a plethora of compelling reasons to favor edge computing over cloud computing. 1. Bandwidth and Latency It’s no doubt that there’s a tangible Round Trip Time (RTT) associated with API calls to a remote server....

    https://www.kdnuggets.com/2018/09/deep-learning-edge.html

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

    ...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 Data...

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

  • Digital Transformation through Data Democratization

    …ents By Sarab S. Mann. Cloud computing offers Infrastructure as a Service, IaaS, Platform as a Service, PaaS, and Software as a Service, SaaS. Though cloud computing helped corporations in cutting cost, reducing software development cycle and improving productivity, but the success could not…

    https://www.kdnuggets.com/2017/07/digital-transformation-data-democratization.html

  • Top 10 Technology Trends of 2019

    ...ey 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 over in 2019. Gartner predicts that the cloud computing market will...

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

  • Industry Predictions: Key Trends in 2017

    ...relational databases. SQL engines for Hadoop have continued to gain traction. Products like SparkSQL and Presto are popping up in enterprises and as cloud services because they allow companies to leverage their existing Hadoop clusters and cloud storage for speedy analytics. What’s not to love?...

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

  • CRN 2015 Emerging Big Data Vendors

    ...irectly analyze data in Hadoop without the need to build a separate data warehouse system. The software is offered for on-premise deployments or as a cloud service. San Mateo, California. Founded 2011. Predixion Softwareoffers a cloud-based, self-service predictive analytics platform called...

    https://www.kdnuggets.com/2015/05/crn-2015-emerging-big-data-vendors.html

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

    ...is starting to play a bigger role in Data science, helping (not replacing) the data scientist. Data science platform are moving more and more to the cloud, but hybrid cloud is lurking around and offering the cloud on premise, a kind of best of both worlds. GPU DB's surfaced already at the end of...

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

  • Easy Way to Scrape Data from Website By Yourself

    ...wing are some of the features: Easily operable. Just make a few clicks and your job is done, coding is not necessary. The scraped data is stored on a Cloud Platform provided by Octoparse which is available 24/7. The Cloud Platform provides faster data extraction! It boasts a Point-and-Click...

    https://www.kdnuggets.com/2019/04/octoparse-scrape-data-website.html

  • Exclusive Interview: Matei Zaharia, creator of Apache Spark, on Spark, Hadoop, Flink, and Big Data in 2020

    ...Spark SQL: about 50-60% of users use each of them respectively.   GP: Q3. You work on several exciting projects at the forefront of Big Data and cloud computing - what is your vision for where Big Data and Cloud technology will be in 2020? MZ: To me, the most exciting question is the...

    https://www.kdnuggets.com/2015/05/interview-matei-zaharia-creator-apache-spark.html

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

    ...University of Texas at Dallas talked about “Cloud-Centric Assured Information Sharing”. She described her research and development efforts in assured cloud computing for the Air Force Office of Scientific Research. She, along with her team, has developed a secure cloud computing framework as well...

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

  • 10 Big Data Trends You Should Know

    ...the action that needs to be taken. Edge computing delivers a better performance since there is less data flowing in and out of the network, with less cloud computing costs. The company can also benefit from storage and infrastructure costs if they choose to delete unnecessary data collected from...

    https://www.kdnuggets.com/2018/09/10-big-data-trends.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

    ...nfogix, Kaggle, KNIME, MathWorks, RapidMiner, Splice Machine, Splunk, StreamSets, and Unravel. Satyen Sangani, co-founder and CEO of Alation. Fear of Cloud Lock-in Will Result in Cloud Sprawl: As CIOs try to diversify investment in their compute providers, inclusive of their own on-premise...

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

  • ASE International Conference on Big Data Science 2014: Day 2 Highlights

    ...ased by Cloud Security Alliance in 2012. Some new approaches and hidden opportunities are discussed towards the building of a trusted and intelligent cloud computing environment over both structured and unstructured big datasets. Finally, he compared the security and capability in BYOD (Bring Your...

    https://www.kdnuggets.com/2014/08/ase-conference-big-data-science-day2.html

  • CRN 50 Emerging Big Data Vendors

    ...ention and identify cross-sell and upsell opportunities. Mountain View, CA. Founded 2009. Gazzang's technology provides data security in big data and cloud computing environments, securing personally identifiable information, preventing unauthorized access to sensitive data and systems, and helping...

    https://www.kdnuggets.com/2014/06/crn-50-emerging-big-data-vendors.html

  • CRN Top Business Analytics Vendors 2016

    ...ta with a simple search interface. Palo Alto, CA. Founded 2012. Tibco - Markets a broad range of software products for integration, event processing, cloud computing and analytics – the latter including the company's Jaspersoft (reporting and business intelligence) and Spotfire (data visualization)...

    https://www.kdnuggets.com/2016/05/crn-top-business-analytics-vendors-2016.html

  • iMath Cloud Data Science Platform beta

    ...at: wiki.imathresearch.com/doku.php?id=public:imathcloud . For questions, email to info@imathresearch.com . Related: iMathCloud, Python Data Science Platform Free Tutorial: Data Science in Python KDnuggets Interview: Michael Brodie on Data Curation, Cloud Computing, Startup Quality, Verizon (part...

    https://www.kdnuggets.com/2015/01/imath-cloud-data-science-platform-beta.html

  • Cummins: Data Engineering Apps and Solutions Architect [Columbus, IN]

    ...technical decision makers for the successful adoption and deployment of Cloud services and technologies for Data Engineering. Strong understanding of cloud computing technology and infrastructure required. Cloud security and compliance understanding preferred. Business and financial understanding...

    https://www.kdnuggets.com/jobs/18/12-13-cummins-data-engineering-apps-solutions-architect.html

  • Comparison of the Top Speech Processing APIs

    ...on Speechmatics ASR Nexmo Voice API We will describe the general aspects of each API and then compare their main features in the table.   Google Cloud Speech API   Google Cloud Speech API is a part of Google Cloud infrastructure. It allows converting human speech into text. This API...

    https://www.kdnuggets.com/2018/12/activewizards-comparison-speech-processing-apis.html

  • Data Science’s Most Used, Confused, and Abused Jargon

    ...ase: Clouds. Services. Platforms. Google, Amazon, Facebook, Azure. The cloud is everywhere. Everything is going to the cloud. Everything lives in the cloud. Even clouds are in the cloud. Public cloud, private cloud, meta-cloud. Does your business have a cloud strategy? Deep Neural Network Theorist:...

    https://www.kdnuggets.com/2015/02/data-science-confusing-jargon-abused.html

  • CRN Top Platform and Tools Vendors 2016

    ...ssively parallel data warehouse system, the GemFire in-memory data grid system, and the HDB Hadoop System. San Francisco, CA. Founded 2013. Snowflake Computing - Offers its cloud-based Snowflake Elastic Data Warehouse service nearly one year ago, providing an alternative to traditional on-premise...

    https://www.kdnuggets.com/2016/05/crn-top-platforms-and-tools-vendors-2016.html

  • Key Takeaways from AI Conference in San Francisco 2017 – Day 2

    ...ces right from data ingestion all the way to production deployment. He shared the case study on Airbus about cleaning satellite imagery to remove the cloud to get a clear view of earth’s surface. Google Cloud AI tools reduced the development time from 180 months to 3 months while simultaneously...

    https://www.kdnuggets.com/2017/10/key-takeaways-ai-conference-san-francisco-2017-day-2.html

  • 50+ Useful Machine Learning & Prediction APIs, updated

    ...rvice: is a free service including sentiment analysis, content extraction, and language detection. This is a popular Data API at mashape.com, a large cloud API marketplace. Google Cloud Natural Language API: Analyzes the structure and meaning of text, including sentiment analysis, entity...

    https://www.kdnuggets.com/2017/02/machine-learning-data-science-apis-updated.html

  • Announcing Microsoft Research Open Data, a cloud hosted platform for sharing datasets

    ...ata community. Initiatives like Microsoft Research Open Data reduce barriers to data sharing and encourage reproducibility by leveraging the power of cloud computing", said Sam Madden, Professor, MIT "I am often asked to share my research data, and the public sharing I have done in the past has...

    https://www.kdnuggets.com/2018/06/microsoft-research-open-data.html

  • 50+ Useful Machine Learning & Prediction APIs, 2018 Edition">Silver Blog50+ Useful Machine Learning & Prediction APIs, 2018 Edition

    ...rvice: Is a free service including sentiment analysis, content extraction, and language detection. This is a popular Data API at mashape.com, a large cloud API marketplace. Google Cloud Natural Language API: Analyzes the structure and meaning of text, including sentiment analysis, entity...

    https://www.kdnuggets.com/2018/05/50-useful-machine-learning-prediction-apis-2018-edition.html

  • YPS: Yottamine Predictive ServicesSVM, Machine Learning in the Amazon Cloud

    ...eliminating system administration chores. YPS uses highly parallel support vector machine (SVM) algorithms that are optimized for running on scalable cloud computing clusters and for working with Big Data. YPS currently includes four different algorithms for solving different kinds of problems -...

    https://www.kdnuggets.com/2013/02/yps-yottamine-predictive-services-machine-learning-amazon-cloud.html

  • October 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity

    ...1Ipqj Oct 21: Powerlytics, a Doylestown, PA #BigData provider of consumer & biz financial analytics, raised $3M t.co/eq7VFlzl2P Oct 21: Snowflake Computing unveils elastic data warehouse for the cloud; runs 10x faster at lower cost t.co/r1FTlV0xQt Oct 21: Snowflake Computing, San Mateo startup...

    https://www.kdnuggets.com/2014/11/october-analytics-big-data-science-company-activity.html

  • CRN 25 Big Data Infrastructure Companies

    ...ix lines, which by itself makes it a major player in the big data arena. Hopkinton, MA. Founded 1979. Gazzang, provides data security in big data and cloud computing environments, securing personally identifiable information, preventing unauthorized access to sensitive data and systems, and helping...

    https://www.kdnuggets.com/2014/06/crn-25-big-data-infrastructure-companies.html

  • CRN 2015 Big Data Infrastructure Companies

    ...oop applications and data. The Cask Data Application Platform is used to build, deploy and manage big data applications. Palo Alto, CA. Founded 2011. Cloudera is one of the leading providers of Hadoop and related software and services. The company's flagship Cloudera Enterprise suite includes tools...

    https://www.kdnuggets.com/2015/05/crn-2015-big-data-infrastructure-companies.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...y: We process billions of records daily. We build systems and design algorithms that are able to handle these large amounts of data and make sure the cloud usage scales sub-linear with the ever growing data size. Where traditional solutions fail we develop approximate, distributed, and streaming...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...y: We process billions of records daily. We build systems and design algorithms that are able to handle these large amounts of data and make sure the cloud usage scales sub-linear with the ever growing data size. Where traditional solutions fail we develop approximate, distributed, and streaming...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • Big Data and Hadoop, Big Data Boot Camp LA

    ...opular Hadoop distributions by Apache(official), Cloudera, HortonWorks, MapR, etc. Hadoop in cloud is offered by AmazonEC2, Google Compute, RackSpace Cloud, Microsoft, etc. Big Data in cloud is pretty popular among startups as there is no initial cost and they can pay per use. A click can create...

    https://www.kdnuggets.com/2014/10/big-data-hadoop-boot-camp-los-angeles.html

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