All Videos Tagged Cloud (Data Science Central) - Data Science Central 2020-09-23T22:25:45Z https://www.datasciencecentral.com/video/video/listTagged?tag=Cloud&rss=yes&xn_auth=no DSC Webinar Series: Automate Self-Service Data Warehousing for Any Size Business tag:www.datasciencecentral.com,2020-05-04:6448529:Video:949747 2020-05-04T17:49:00.906Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-automate-self-service-data-warehousing-for-any"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4727831059?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>How can you transition your business analytics from a manual, slow, and prone to error data transformation process in Excel into a reliable and automated solution to empower your employees with a self-service data warehouse in the cloud?<br></br> <br></br> In this latest Data Science Central webinar, you will learn from an experienced… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-automate-self-service-data-warehousing-for-any"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4727831059?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />How can you transition your business analytics from a manual, slow, and prone to error data transformation process in Excel into a reliable and automated solution to empower your employees with a self-service data warehouse in the cloud?<br /> <br /> In this latest Data Science Central webinar, you will learn from an experienced practitioner:<br /> <br /> Best practices to build a solid data warehouse leveraging Google Cloud analytics suite<br /> Facilitate self-service data analytics adoption for all your employees leveraging Cloud Dataprep and Data Studio<br /> Automatically turn spreadsheets (e.g. customers, transactions, products, etc.) into clean and standardized data assets for reporting<br /> Accelerate analytics project delivery from months down to weeks or days<br /> <br /> Speakers: <br /> Geoffroy de Viaris, Project Manager Data &amp; Analytics -<br /> High Fashion Luxury Goods Manufacturer<br /> <br /> Bertrand Cariou, Sr. Director Product - Trifacta<br /> <br /> <br /> Hosted by: <br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Managing Risk in Decentralized Networks with Time Series tag:www.datasciencecentral.com,2020-03-24:6448529:Video:940384 2020-03-24T22:51:54.964Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-managing-risk-in-decentralized-networks-with"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4217676711?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>A distributed network is key to providing storage at lower costs than other cloud providers. By equipping customers with fast, secure and fully distributed storage, users no longer need to manage infrastructure. This platform enables applications to store and share end-to-end encrypted data across a distributed network. Discover how a time… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-managing-risk-in-decentralized-networks-with"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4217676711?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />A distributed network is key to providing storage at lower costs than other cloud providers. By equipping customers with fast, secure and fully distributed storage, users no longer need to manage infrastructure. This platform enables applications to store and share end-to-end encrypted data across a distributed network. Discover how a time series database is a key component to their service.<br /> <br /> In this latest Data Science Central webinar, John Gleeson and Ben Sirb will dive into:<br /> <br /> The definition of a cloud object storage network<br /> The advantages of using open source software in a modern tech stack<br /> How high-volume, real-time telemetry data is used to inform key business decisions<br /> A forecast predicting the impact of node churn on object health<br /> <br /> Speakers: <br /> John Gleeson, VP of Operations - Storj Labs International, SEZC<br /> Benjamin Sirb, PhD, Sr. Data Scientist - Storj Labs International, SEZC<br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Weaponizing Data in the Fight Against White Collar Crimes tag:www.datasciencecentral.com,2020-01-21:6448529:Video:924729 2020-01-21T22:04:03.201Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-weaponizing-data-in-the-fight-against-white"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3830023345?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In this webinar analyst and advisor Alasdair Anderson will discuss how escalating global white collar crime activity is driving adoption of advanced analytics at a pace never before seen in mature enterprises. Organizations are having to change the way they deal with data and change the types of data that they utilize. The old data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-weaponizing-data-in-the-fight-against-white"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3830023345?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In this webinar analyst and advisor Alasdair Anderson will discuss how escalating global white collar crime activity is driving adoption of advanced analytics at a pace never before seen in mature enterprises. Organizations are having to change the way they deal with data and change the types of data that they utilize. The old data management adage of "garbage in, garbage out" has been left behind as organizations realize that agile wrangling of all data is far more valuable that static historic curated data sets.<br /> <br /> In this latest Data Science Central webinar you will learn:<br /> <br /> How large organizations are using data to fight white collar crimes<br /> The crucial role cloud technology plays in advanced analytics<br /> Why data wrangling is a key functionality in dealing with "garbage" data<br /> <br /> Speakers:<br /> Alasdair Anderson, Independent Consultant<br /> Matt Derda, Customer Marketing Manager - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Why Data Prep is Step 1 for Analytics Success tag:www.datasciencecentral.com,2019-08-06:6448529:Video:865775 2019-08-06T22:25:08.414Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-data-prep-is-step-1-for-analytics-success"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3411057447?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Sad but true when it comes to data prep - data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analytics. Meanwhile, organizations are increasingly moving data and analytics from the on-premise environment to the cloud as part of their digital transformation initiatives. The… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-data-prep-is-step-1-for-analytics-success"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3411057447?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Sad but true when it comes to data prep - data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analytics. Meanwhile, organizations are increasingly moving data and analytics from the on-premise environment to the cloud as part of their digital transformation initiatives. The rapid migration to the cloud further extends this data preparation nightmare given the varying shapes and sizes of the data stored in the cloud.<br /> <br /> Join David Menninger, SVP &amp; Research Director at Ventana Research, and Jie Wu, Product Marketing Director at Trifacta for a live discussion on how to select a cloud data preparation solution to accelerate your analytics journey in the cloud. In this latest Data Science Central webinar, you will learn:<br /> <br /> Challenges with data prep in the cloud<br /> Why ETL tools alone are not sufficient to deliver well-prepared data in the cloud<br /> Key considerations when selecting a data prep tool for cloud data lakes and cloud data warehouses<br /> Speakers:<br /> Jie Wu, Product Marketing Director - Trifacta<br /> David Menninger, SVP &amp; Research Director - Ventana Research<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Why Cloud Data Management Requires Modern DataOps Featuring Forrester tag:www.datasciencecentral.com,2019-04-10:6448529:Video:816902 2019-04-10T21:14:25.765Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-cloud-data-management-requires-modern"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/1869451575?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. The advent of cloud platforms from AWS, Microsoft Azure and Google Cloud gives every business the ability to swipe a credit card and have access to virtually any computing service...to handle just about any data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-cloud-data-management-requires-modern"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1869451575?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. The advent of cloud platforms from AWS, Microsoft Azure and Google Cloud gives every business the ability to swipe a credit card and have access to virtually any computing service...to handle just about any data initiative. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with DataOps.<br /> <br /> Join this latest Data Science Central webinar to learn:<br /> • How the emergence of new trends such as cloud, machine learning and AI have impacted the data management landscape<br /> • What is DataOps and key considerations in implementing or transitioning data management to the cloud<br /> • How to maximize cloud investments and adoption with new approaches to data preparation and data quality<br /> <br /> Featured Speakers:<br /> Noel Yuhanna, Principal Analyst - Forrester<br /> Will Davis, Director of Product Marketing - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central