Showing posts with label DEVOPS. Show all posts
Showing posts with label DEVOPS. Show all posts

Wednesday, 19 August 2020

The cloud skills shortage and the unemployed army of the certified by @jbesw via @Medium

 Why it’s so hard to find roles in cloud technology, while jobs go unfilled.

I found this really interesting and could be insightful for anyone who is struggling to get a job even though they did certifications in the attempt to be more qualified.  I have to agree, relevant experience is key. 

Tuesday, 29 January 2019

WEBINAR: Cutting Time, Complexity and Costs from Data Science to Production - 6th February 2019

WEBINAR

Cutting Time, Complexity and Costs from Data Science to Production

One-click (really!) deployment to production without any heavy lifting from data and DevOps engineers
Wednesday, February 6 at 8am PT
Imagine a system where one collects real-time data, develops a machine learning model… Runs analysis and training on powerful GPUs… Clicks on a magic button and then deploys code and ML models to production… All without any heavy lifting from data engineers. Today, data scientists work on laptops with just a subset of data and time is wasted while waiting for data and compute.
It’s about efficient use of time! Join Iguazio and NVIDIA so that you can get home early today! Learn how to speed up data science from development to production:
  • Access to large scale, real-time and operational data without waiting for ETL
  • Run high performance analytics and ML on NVIDIA GPUs (Rapids)
  • Work on a shared, pre-integrated Kubernetes cluster with Jupyter notebook and leading data science tools
Featured Speakers:
Yaron Haviv, CTO, Iguazio
Or Zilberman, Data Scientist, Iguazio
Jacci Cenci, Sr Technical Marketing Engineer, NVIDIA
Register here


Tuesday, 4 December 2018

WEBINAR: Data Prep For Data Ops: How To Select & Deploy - 12 December 2018

Data Science Central Webinar Series Event
Data Prep For Data Ops: How To Select & Deploy
Join us for the latest DSC Webinar on December 12th, 2018
register-now
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organisational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognised as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data.

Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest Data Science Central webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018.

During this webinar you will learn:
  • Where does data preparation fit within DataOps
  • What are the key technical & business differentiators of data preparation solutions
  • How to align the right technologies, people and processes
Speakers:
Will Davis, Sr. Director of Product Marketing -- Trifacta
Cinny Little, Senior Analyst -- Forrester

Hosted by: Bill Vorhies, Editorial Director -- Data Science Central
 
Title: Data Prep For Data Ops: How To Select & Deploy
Date: Wednesday, December 12th, 2018
Time: 9 AM - 10 AM PDT
 
Space is limited so please register early:
Reserve your Webinar seat now
 
After registering you will receive a confirmation email containing information about joining the Webinar.