Data Driven

In this Data Point, we follow Andy as he walks his way through PASS 2019 registration and into the rarefied air of the speakers’ area.

In this Data Point, Andy talks to us outside of a Waffle House in Raleigh about announcements from Ignite and his upcoming trip to the PASS Summit.   Transcript (experimental) Hey all this is Andy an this is the beginning. Well, not really. It’s kind of in the middle of my trip to PASS Summit, 2019 looking forward to getting out to Seattle, catching up with old friends, making new friends. And we’re in my Redgate shirt today friend of Redgate Awesome company. Love you guys looking forward to seeing you all too. And I am in Raleigh. I am at Waffle House. No one who knows me will be surprised by that. And. I’m going to grab a quick bite to eat catch the first flight. And I’ve gotta connect and of course, every now and then I Get Lucky and get a direct flight from RDU to Seattle but exciting news out of ignite yesterday. If you didn’t get a chance to watch those keynotes. You can watch him on YouTube. They’re all over such a an the crew dropped a bunch of announcements

In this DataPoint, Frank explains why Siraj Raval has been and still can be a force for good and the democratization of AI.

In this DataPoint, Andy talks with Patrick Leblanc about some of the AI features of PowerBI live from SQL BI Saturday Atlanta.

Continuing our live coverage of Azure Data Fest Fall 2019 in Reston is this session by Frank La Vigne. Neural Networks from the Ground Up Neural networks are an essential element of many advanced artificial intelligence (AI) solutions. However, few people understand the core mathematical or structural underpinnings of this concept. In this session, learn the basic structure of neural networks and how to build out a simple neural network from scratch with Python. This episode was recorded live at the Azure Data Fest in Reston, VA on Oct 11, 2019. You can watch the entire live stream here: http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/ (http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/)

Continuing our live coverage of Azure Data Fest Fall 2019 in Reston is this session by James Genus, Jr on Linux on Azure. About the Speaker: James Genus Jr. has been working in technology for 25+ years across many industries including commercial, public and non-profit sectors. In 1997, he started using Linux which led to eventually working for Red Hat. Currently, he works for Microsoft as an Azure Cloud Solution Architect. This episode was recorded live at the Azure Data Fest in Reston, VA on Oct 11, 2019. You can watch the entire live stream here: http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/ (http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/)

Jay Kumar presents “Global Application Deployment for Scalability and Availability.” A case study of app deployment in Azure using our PaaS services for high availability and scalability. This session will cover a deployment of a globally available application architecture and best practices. This episode was recorded live at the Azure Data Fest in Reston, VA on Oct 11, 2019. You can watch the entire live stream here: http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/ (http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/)

In this special episode, Todd Dube & Julia Barnhart share their real world experiences with Azure Databricks working on a Fortune 500 website. This episode was recorded live at the Azure Data Fest in Reston, VA on Oct 11, 2019. You can watch the entire live stream here: http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/

In this Data Point recorded live at Azure Data Fest Reston Fall 2019, Frank talk with Joel Cochran about Azure Data Factory, Billiards, and how there’s no school like the old school. Original show with Joel: http://datadriven.tv/joel-cochran-data-politics-law-school-billiards/

In this Data Point, Frank explains why Amazon is winning the retail game and how you should transform your business to serve customers asynchronously or risk being left behind.

In this Data Point, Andy talks with Bill Wolf about SQL Saturday Pittsburgh, motorcycles, and the local slang.

In this DataPoint, Frank talks with fellow Cloud Solution Architect, Devin Jaswal, about the SQL Trail conference in Richmond, VA and serverless SQL.

In this DataPoint, Frank runs into Matt Kirk on the expo floor at Strata NYC.

Frank is at the Strata NYC conference today working the Microsoft booth. Stop by and say hello!

In this Data Point, Frank talks about his new found respect for the R language.

In this DataPoint, Frank reflects on how useful DataBricks is in a data warehousing environment. That and the importance of coffee after a red eye flight.

This week Frank is on vacation with his family in the North Carolina mountains where gem mining is a popular activity. Ever the data geek, he notes the similarities between data mining and gem mining.

In this episode, Frank and Andy answer some your questions! Show notes coming soon!

In this episode of Data Driven, Frank and Andy catch up with Brent Ozar and have a laugh or two at Silverlight’s expense, NoLock, and playing country music backwards. Links http://thedatadrivenbook.com () Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Notable Quotes Season 3 opened with http://datadriven.tv/inspiration-john-lee-dumas-tech-intensity-data-soup/ (John Lee Dumas aka JLD) ([01:30]) http://www.datasoupsummit.com (Data Soup Summit) ([02:00]) https://brentozar.com (Introducting Brent Ozar) ([05:00]) “Get out there!” – Brent Ozar ([08:30]) Data work pays better. ([13:45]) Brent started in hotel management ([15:00]) Data is the new oil… but we should avoid spills. ([16:15]) “The job is getting harder, not easier.” ([18:30]) The “Aha” moment and ER analogy. ([21:30]) Brent’s quote voice… ([22:00]) Brent’s “Bad News Doctor” voice ([22:45]) Andy throws

In the post-Amazon economy, all brick and mortar retailers are struggling. Some have outright failed and others on the brink. However, there are a few outliers that refuse to go down without a fight and are actually innovating. In this DataPoint, Frank notes one that has actually turned physical location to its advantage by helping Amazon process returns!