Data Collab Lab: SmartSQL Queries powered by Delta Engine on Lakehouse скачать в хорошем качестве

Data Collab Lab: SmartSQL Queries powered by Delta Engine on Lakehouse

Welcome to the Data Collab Lab with Franco and Denny! This online meetup series brings together various data experts and we collaborate together to (hopefully) solve the problem! For this session, we will discuss: SmartSQL Queries powered by Delta Engine on Lakehouse As a data analyst have you ever wanted to be able to simply add some Machine Learning capabilities into your SQL Query? Does your database engine require additional laborious steps in order to leverage Python or R functionality for your data scientist to work on? Do you feel that your teams are siloed from each other preventing you from getting the most out of your data? Join us while we work together to build machine learning algorithms into simple functions that our data analysts can use to build smarts into their analytics. The notebooks for this session can be found at: https://github.com/databricks/tech-ta... ----------------- Guests ----------------- Dillon Bostwick has spent the last 2.5 years as a Solutions Architect at Databricks, where he has extensive background in working with data engineers, data scientists, and business stakeholders to productionize data and machine learning projects. He is also active in developing new field projects intended to accelerate the management of data infrastructure. Previously, Dillon was as a technical lead for the development of a network orchestration application, and he applies this experience to the architectural guidance he provides today. Mary Grace Moesta is currently a Customer Success Engineer at Databricks working with our strategic enterprise customers. As a former data scientist, she worked with Apache Spark on projects focused on machine learning and statistical inference specifically in the retail / CPG space. With previous research in Markov Chain modeling and infectious disease modeling, she enjoys applying mathematics to real work problems. ----------------- Hosts ----------------- Franco Patano is a Solutions Architect at Databricks, where he brings over 10 years of industry experience in data engineering and analytics. He has architected, managed, and analyzed data applications both big and small, with open source and proprietary software, utilizing SQL, Python, Scala, Java, and Apache Spark, as well as experimenting with data science. Prior to Databricks, Franco worked as a Data Architect and Analyst in the Commercial Real Estate, Banking, and Education industries for organizations large and small. Denny Lee is a developer advocate at Databricks, where he works on Delta Lake, Apache Spark, Data Sciences, and Healthcare Life Sciences. He has previously built enterprise DW/BI and big data systems at Microsoft including Azure Cosmos DB, Project Isotope (HDInsight), and SQL Server as well as the Senior Director of Data Sciences Engineering at SAP Concur. Denny holds a Masters in Biomedical Informatics from Oregon Health Sciences University. Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...