CubeJS with Artyom Keydunov and Pavel Tiunov
Play • 48 min

Business intelligence is crucial for both internal and external applications at any company. There is a wide array of proprietary BI tools. Today, there is an increasing number of options for open source business intelligence, one of which is CubeJS. CubeJS is an open source analytical API platform for building BI. Artyom and Pavel from CubeJS join the show to talk about what they have built and their vision for the platform.

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The post CubeJS with Artyom Keydunov and Pavel Tiunov appeared first on Software Engineering Daily.

The Cloudcast
The Cloudcast
Cloudcast Media
A Cloud-First Look Ahead for 2021
Jeremy Burton (@jburton, CEO @Observe_Inc; board member @SnowflakeDB ) talks about the differences between traditional IT companies and Cloud-First companies, from product planning and roadmaps, to customer engagements and marketing messaging.  *SHOW: *484 *SHOW SPONSOR LINKS:* * Okta - You should not be building your own Auth * Learn how Okta helped Cengage improve student success rates during COVID. * BMC Wants to Know if your business is on its A-Game * BMC Autonomous Digital Enterprise * Datadog Security Monitoring Homepage - Modern Monitoring and Analytics * Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt. *CLOUD NEWS OF THE WEEK *- http://bit.ly/cloudcast-cnotw *CHECK OUT OUR NEW PODCAST - **"CLOUDCAST BASICS"* *SHOW NOTES:* * Observe Homepage * Snowflake Homepage - The Data Cloud *Topic 1 *- Welcome to the show. We’ve known each other for a while. You’ve had tremendous success in Leadership, Product and Marketing roles in the past. Tell our audience a little bit of your background and what ultimately brought you to your role at CEO of Observe.  *Topic 1a* - For people that aren’t familiar, what does Observe bring to the market?  *Topic 2 *- We wanted to do a little “before-and-after”, and focus on what it means to be a “Cloud-First” company. What are the most obvious differences between a company like Observe and a company like Dell or EMC? *   * *Topic 3 *- From a product perspective, how do you think about roadmaps and the ways in which you enable new features for customers? Since Observe runs only in the public cloud, how much do you need to think about integrating with the native cloud services?  *Topic 4 *- You have deep expertise in creating marketing messaging, but so much of how customers learn about your products is no longer the company website. How do you think about reaching potential customers, or generally getting your message into the market? *Topic 5 *- Traditional IT was often aligned to centralized buying and architecture groups. How much does Cloud-First change the consumption models for companies - experimentation, on-demand usage, dealing with scaling issues, etc. *Topic 6 *- Overall, what are some of the biggest lessons you’ve learned about the Cloud-First approach as you’ve transitioned over the last 3+ years.  *FEEDBACK?* * Email: show at thecloudcast dot net * Twitter: @thecloudcastnet
37 min
Making Data Simple
Making Data Simple
Making Data Simple
[Part 2] Al and Lynne Snead discuss leadership, business coaching and debunking leadership myths, hard skills and soft skills and something called squishy
Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. *Abstract* Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. * *This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003. *Show Notes* 3:40 – Any advice on soft skills and hard skills? 8:35 – Telltale signs such as stress 10:40 – Settings goals  *Connect with the Team *Producer Kate Brown - LinkedIn Producer Steve Templeton - LinkedIn Host Al Martin - LinkedIn and Twitter Books Thinking Fast and Slow  Financial Intelligence  Other notable names Brene Brown Judith Glaser Marshall Goodsmith Daniel Goleman Lynne’s List of Recommended Leadership Books * Leadership and Self Deception, Arbinger Institute * 7 Habits of Highly Effective People, Stephen R. Covey (Senior) * 5 Levels of Leadership, John Maxwell.  * What Got You Here Won’t Get You There, Marshall Goldsmith * Conversational Intelligence, Judith Glaser * The Speed of Trust, Stephen M.R. Covey (Junior)  * Emotional Intelligence, Daniel Goleman * The New Art of Managing People, Tony Alessandra and Phil Hunsaker * How to Influence People, John Maxwell * Humble Inquiry, Edgar H. Schein  * Humble Leadership, Edgar H. Schein and Peter Schein * Leadership is an Art, Max De Pree * The Secrets to Winning at Office Politics, Marie G. McIntyre * The Power of Focus, Jack Canfield, Mark Victor Hansen, Les Hewitt * The Power of Self-Confidence, Brian Tracy
29 min
MLOps.community
MLOps.community
Demetrios Brinkmann
When Machine Learning meets privacy - Episode 9
**Private data, Data Science friendly** Data Scientists are always eager to get their hands on more data, in particular, if that data has any value that can be extracted. Nevertheless, in real-world situations, data does not exist in the abundance that we thought existed, in other situations, the data might exist, but not possible to share it with different entities due to privacy concerns, which makes the work of data scientists not only hard, but sometimes even impossible. // Abstract: In the last episode of this series, we've decided to bring not one, but two guests to tells us how Synthetic data can unlock the use of data for Data Science teams whenever privacy concerns are a reality.  Jean-François Rajotte, Researcher and Resident data Scientist at the University of Columbia and Sumit Mukherjee, Senior Applied Scientist at Microsoft's AI for Good, bring us into more detail their expertise not only, in Synthetic data generation, but in it's mind blowing combination with Federated Learning to take the healthcare sector into the next level of AI adoption. //Other links to check on Jean-François Rajotte: https://venturebeat.com/2021/01/20/microsofts-felicia-taps-ai-to-enable-health-providers-to-share-data-anonymously/ https://dsi.ubc.ca/ https://leap-project.github.io/ //Other links to check on Sumit Mukherjee: www.sumitmukherjee.com (Sumit research) https://arxiv.org/abs/2101.07235 https://arxiv.org/pdf/2009.05683.pdf https://github.com/microsoft/privGAN (PrivGan) //Final thoughts Feel free to drop some questions into our slack channel (https://go.mlops.community/slack)  Watch some of the other podcast episodes and old meetups on the channel: https://www.youtube.com/channel/UCG6qpjVnBTTT8wLGBygANOQ ----------- Connect With Us ✌️------------- Join our Slack community:  https://go.mlops.community/slack Follow us on Twitter:  @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Fabiana on LinkedIn: https://www.linkedin.com/in/fabiana-clemente/ Connect with Jean-François on LinkedIn: https://www.linkedin.com/in/jfraj/ Connect with Sumit on LinkedIn: https://www.linkedin.com/in/sumitmukherjee2/
42 min
Kubernetes Podcast from Google
Kubernetes Podcast from Google
Adam Glick and Craig Box
CNCF and the Linux Foundation, with Chris Aniszcyzk
After building the Eclipse IDE and Twitter’s Open Source office, Chris Aniszcyzk bootstrapped the CNCF, joining its parent the Linux Foundation in 2015. He’s now a VP of DevRel there, as well as CTO at the CNCF and Executive Director of the Open Container Initiative. Chris joins us to share his technology journey and Cloud Native predictions for 2021. And all that is now And all that is gone And all that’s to come And everything under the sun is in tune But the sun is eclipsed by the moon Do you have something cool to share? Some questions? Let us know: * web: kubernetespodcast.com * mail: kubernetespodcast@google.com * twitter: @kubernetespod Chatter of the week * Adam on LinkedIn News of the week * Otomi from RedKubes * Nutanix now supports Anthos * Tanzu Advanced is GA * Pivotal Labs is Tanzu Labs * VMware needs a new CEO * New CSI driver for Google Kubernetes Engine * Slim.ai announces seed funding * Grafana Cloud introduces free tier * Sysdig container security usage report (PDF) * 63 node Kubernetes cluster using Firecracker by Álvaro Hernández * The definitive guide to Vertical Pod Autoscaling by Povilas Versockas Links from the interview * ZX Spectrum * R-Type and Jet Pac * GORILLA.BAS * Gentoo Linux * Java Virtual Machine (JVM) * Eclipse * Object Technology International * Erich Gamma * code9, Chris’s startup * Backstage and Roadie * Twitter OSS * Pants * Mesos * twemproxy * Linux Foundation, and its sub-projects CNCF and OCI * Services for projects * Linus Torvalds and Greg Kroah-Hartman * Chris’s Cloud Native predictions for 2021 * Developer experience: Gitpod, GitHub Codespaces or Google Cloud Shell * Wasm in Envoy * Wasi, the WebAssembly Systems Interface * Chris Aniszcyzk on Twitter and on the web * Canada Revenue Agency on Twitter
39 min
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