All Videos Tagged , DSC, Data, (Data Science Central) - Data Science Central 2021-09-26T13:20:47Z https://www.datasciencecentral.com/video/video/listTagged?tag=%2C+DSC%2C+Data%2C&rss=yes&xn_auth=no Get SAP Data Dressed for Success in Google Cloud: How Breuninger Delivers Real-Time Data in an Automated Fashion tag:www.datasciencecentral.com,2021-07-14:6448529:Video:1057017 2021-07-14T22:46:11.354Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch "Data is the new water” – powering many organizations to turn on the tap for digital transformation. To enable data driven processes, it is imperative to reveal the treasure trove of data hidden away in existing SAP applications. Extracting data from those applications (the E in ETL) is commonly the biggest pain point of data engineering where it is tough to balance performance versus load in a legacy system. At the same time customers are demanding more: nightly batch processing, drip feeding… "Data is the new water” – powering many organizations to turn on the tap for digital transformation. To enable data driven processes, it is imperative to reveal the treasure trove of data hidden away in existing SAP applications. Extracting data from those applications (the E in ETL) is commonly the biggest pain point of data engineering where it is tough to balance performance versus load in a legacy system. At the same time customers are demanding more: nightly batch processing, drip feeding data, cannot maintain the demands for real time information streams.<br /> <br /> Breuninger, the luxury high-end retailer, was facing these similar challenges and decided to utilize change data capture (CDC) technology to build data pipelines that constantly supply a flow of data in real-time. <br /> <br /> Based on their team’s experience, you will learn how to integrate data from mission critical SAP application into a modern cloud-based analytics warehouse with Google BigQuery. <br /> <br /> In this latest Data Science Central webinar, you will hear how Breuninger processes an impressive amount of valuable SAP data to the cloud and learn: <br /> <br /> How they determined the parameters for change.<br /> Why CDC is a game changer for improving customer experiences.<br /> How they consolidated all SAP data into a single source of truth<br /> When Google BigQuery can deliver immediate cost savings.<br /> Find out how your organization can keep your data flowing in the cloud, stay ahead of changing demands, while lowering over-reliance on SAP resources and saving costs.<br /> <br /> Speakers: <br /> Adam Mayer, Senior Director Product Marketing - Qlik<br /> Matthias Krenzel, Head of Data Platform Services - Breuninger<br /> Jessica Tischbierek, Customer Engineer Technology Practice SAP - Google<br /> <br /> Hosted by: <br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: An Expert’s Guide to Apache Spark™ tag:www.datasciencecentral.com,2018-05-23:6448529:Video:723863 2018-05-23T22:52:20.713Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-an-expert-s-guide-to-apache-spark"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781548053?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Apache Spark™ has become the de-facto data processing and AI engine in enterprises today due to its speed, ease of use, and sophisticated analytics. As the first Unified Analytics engine to unify data with AI, Spark allows data engineering and data science teams to simplify data preparation and model training — enabling innovative AI use cases that… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-an-expert-s-guide-to-apache-spark"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781548053?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Apache Spark™ has become the de-facto data processing and AI engine in enterprises today due to its speed, ease of use, and sophisticated analytics. As the first Unified Analytics engine to unify data with AI, Spark allows data engineering and data science teams to simplify data preparation and model training — enabling innovative AI use cases that leverage advanced analytics like machine learning, graph analytics, and deep learning.<br /> <br /> Join Bill Chambers, author of the book “Spark: The Definitive Guide,” and Matei Zaharia, Chief Technologist and Co-founder of Databricks and the orginal creator of Apache Spark™, in this Data Science Central webinar as they break down the basic operations and common functions of Spark and walk through sample use cases where Spark has helped accelerate AI innovation.<br /> <br /> In this webinar, we will cover:<br /> <br /> A gentle overview of big data and Spark<br /> Expert guidance on how to use, deploy and maintain Spark <br /> The fundamentals of monitoring, tuning, and debugging Spark<br /> An exploration into machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library<br /> <br /> Speakers:<br /> Bill Chambers, Product Manager -- Databricks<br /> Matei Zaharia, Co-founder and Chief Technologist -- Databricks<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central