WEBINAR: Get SAP Data Dressed for Success in Google Cloud - 14 July 2021

 

Data Science Central Webinar Series Event

Get SAP Data Dressed for Success in Google Cloud Join us for this latest DSC Webinar on July 14th, 2021 "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 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: How they determined the parameters for change. Why CDC is a game changer for improving customer experiences. How they consolidated all SAP data into a single source of truth When Google BigQuery can deliver immediate cost savings. 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. Speakers:   Adam Mayer, Senior Director Product Marketing - Qlik     Matthias Krenzel, Head of Data Platform Services - Breuninger    Jessica Tischbierek, Customer Engineer Technology Practice SAP - Google    Hosted by:   Sean Welch, Host and Producer - Data Science Central   Title:  Get SAP Data Dressed for Success in Google Cloud Date:  Thursday, July 14th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your seat now

Why You Should Get Google’s New Machine Learning Certificate by Frederik Bussler via @kdnuggets

 Google is offering a new ML Engineer certificate, geared towards professionals who want to display their competency in topics like distributed model training and scaling to production. Is it worth it?

This was really interesting and definitely made the case as to when you should or should not take the certification exam. I like the idea that you might be better off getting lots of experience and publish some results to get known for your skill and knowledge in machine learning instead.

The Google Cloud Developer’s Cheat Sheet by/via @gregsramblings

Every product in the Google Cloud family described in <=4 words (with liberal use of hyphens and slashes)

A great resource via his Github library.

WEBINAR: Modern infrastructure with NoSQL and containers - 31 August 2016

 

Modern infrastructure with NoSQL and containers

DATE: Wednesday, August 31, 2016

TIME: 1:00PM EDT | 10:00AM PDT

The best way to deploy and scale a NoSQL database is with elastic infrastructure, with containers being one of the most efficient platforms – deployed on-premise or in the cloud. In this webinar, we’ll discuss how development and operations teams can benefit from running NoSQL databases on containers, as well as the options for doing so.

We will discuss how running NoSQL on containers:

• Improves business agility
• Increases developer productivity
• Simplifies deployment and scaling

And, we will highlight options for running a NoSQL database with:

• Docker Swarm, Docker Machine, and Docker Compose
• Docker on Kubernetes or Apache Mesos (DC/OS)
• Docker on AWS, Azure, Google Cloud

FEATURED SPEAKER:

Shane K Johnson

Manager of Product Marketing, Couchbase

Register here

This article by +Ashlee Vance from +Bloomberg Businessweek talks about how Google's recent announcement about Big Data.  So less about Hadoop and more about GoogleCloud, MillWheel and Flume.

Seems it's going to get harder to profess knowledge without real knowledge.