WEBINAR: Gain Insights from SAP Data with Qlik and Microsoft - 28 October 2021

 

Sponsored News from Data Science Central

Webinar: Gain Insights from SAP Data with Qlik and Microsoft What: A free online webinar exclusively for IT Pros When: Thursday, October 28th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now In this latest Data Science Central Webinar, you’ll hear how global manufacturer Greene Tweed developed an efficient, cost-effective, and logical strategy to connect Qlik Data integration and Microsoft Azure Synapse to build an intelligent supply chain for better business insight. Learn how Greene Tweed addressed their challenges and how they use data liberated from SAP for strategic analytics initiatives. In addition, you will discover: How to create a plan of attack to extract insights from massive amounts of SAP data How important change data capture is to building low latency extracts for massive data volumes Why automation with Qlik Data Integration is crucial to expedite data availability How SAP data drives insights to optimize Manufacturing & Supply Chain The gains Greene Tweed realized by moving SAP data to Azure Synapse Register today to start your journey to improving data operations, accelerating reporting, reducing systems overhead and enabling AI operations with Qlik and Azure Synapse. Speakers: Matt Hayes, VP of SAP Business, Qlik David Hufnagle, Manager, Enterprise Data and Analytics, Greene Tweed Greg Vigil, Industry Solution Director – Manufacturing, Microsoft

WEBINAR: Catalyzing Innovation with SAS Viya on Microsoft Azure - 28 September 2021

 

Sponsored News from Data Science Central

Webinar: Catalyzing Banking Innovation with SAS Viya on Microsoft Azure What: A free online webinar exclusively for IT Pros When: Tuesday, September 28th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now Register to attend a lively discussion with two leaders from the banking track of the most recent SAS Global Hackathon in this latest Data Science Central webinar. James Swinnerton, Principal Solutions Architect at SAS, is joined by SAS Advisory Industry Consultant Alex Kwiatkowski to examine the innovative approaches to problem solving taken by the banking teams. They will discuss solutions such as a machine learning-driven loan application process, models to explore sustainability performance, to predict / prevent fraud, and more. They will delve into the enabling role of the SAS Viya on Azure environments that they hacked in and how those advantages might transfer more broadly to the rich opportunities made possible by digital transformation. Tune in as they explore how cloud-deployed analytics is opening up new horizons for data scientists to address broad industry challenges, such as risk modeling, anti-money laundering, stress testing and various forms of fraud detection and prevention.

WEBINAR: Managing the Machine Learning Lifecycle What's New with MLflow 6 June 2019

Sponsored News from Data Science Central

Managing the Machine Learning LifecycleWhat's New with MLflowThursday, June 6, 2019 | 10 am PST Machine learning development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many distinct systems to productionize models. To solve for these challenges, last June, we unveiled MLflow, an open source platform to manage the complete machine learning lifecycle. Most recently at Spark + AI Summit in San Francisco, we announced the General Availability of Managed MLflow and the upcoming release of MLflow 1.0. In this webinar, we will review new and existing MLflow capabilities that allow you to: Keep track of experiments runs and results across frameworks. Execute projects remotely on to a Databricks cluster, and quickly reproduce your runs. Quickly productionize models using Databricks production jobs, Docker containers, Azure ML, or Amazon SageMaker Featured Speakers Clemens Mewald, Director of Product Management at Databricks Hosted by: Cyrielle Simeone, Product Marketing Manager, Databricks SAVE MY SPOT

WEBINAR: Harnessing the Power of AI with Azure Databricks - 21 August 2018

Harnessing the power of AI on streaming data generated by thousands of IoT devices is no easy task. Lennox International came to this realization as they looked to build a smarter HVAC system by analyzing large data sets, combined with external data sources such as weather data, and predicting equipment failure with high levels of accuracy along with their influencing patterns and parameters. Join this latest Data Science Central webinar to learn how Lennox leveraged Azure Databricks and PySpark to solve their biggest data challenges and improve data science and engineering productivity, resulting in complex machine learning models that run in 40 minutes with minimal tuning and predict failures with accuracy of about 90%. This webinar will cover: The data orchestration challenges Lennox faced which impacted model accuracy levels and data processing times How they use Azure Databricks to build the data engineering pipelines, appropriate machine learning models and extract predictions using PySpark How they also implemented stacking, ensemble methods using H2O driverless AI and Sparkling Water on Azure Databricks clusters, which can scale up to 1000 cores Speaker: Prasad Chandravihar, Lead Data Scientist -- Lennox International Hosted by: Bill Vorhies, Editorial Director -- Data Science Central

Title:	Harnessing the Power of AI with Azure Databricks
Date:	Tuesday, August 21st, 2018
Time:	09:00 AM - 10:00 AM PDT

Register here

Manchester Mayor to work with Microsoft to boost digital skills in youngsters via @MicrosoftUK

Manchester Mayor Andy Burnham wants to work with Microsoft to boost digital skills in youngsters.

A great use of new technology and something that could produce good results for us all. Well done Microsoft.

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

Data Science for Losers, Part 7 - Using Azure ML via @brakmic

Data Science for Losers, Part 7 - Using Azure ML via @brakmic In this part 7 Harris is taking us further into coding with Azure for machine learning.  Make sure you have gone through part 6 first. Includes Python code but I think if you don't know python you can still understand what is happening.

Data Science for Losers, Part 6 - Azure ML via @brakmic

Data Science for Losers, Part 6 - Azure ML via @brakmic In this part 6 Harris is taking us all through Azure Machine Learning. He points to a great course on edX too.

WEBINAR: Big Data and the Connected Car - 2 December 2015

Azure is the most open, broad and flexible cloud platform for every customers needs, regardless of the application, framework, data source or operating system their solution may require. Whether you’re interested in various Linux flavors, Docker, MongoDB, Hadoop or languages like Java, Python, PHP and Ruby, you will find first-class support for all.

Recent innovations in the Internet-enabled connected cars that we drive today have spawned a whole new set of opportunities and challenges for automakers. The opportunities come from the ability to capture detailed, current data on how drivers operate their vehicles and how those vehicles respond to that use. Join this webinar to learn how this data can become critical in uses such as preventative maintenance, product development, manufacturing optimization, infotainment & paid content, as well as recall avoidance. As usual, very hands-on approach, with lots of demos!

Register now for this live webinar to learn about Big Data and the Connected Car on Azure!

Dave Russell

Solution Engineer, Horton

WEBINAR: Building a Predictive Analytics Solution with Azure ML - June 16, 2015

Summary

Please join us on June 16, 2015 at 9:00am PDT for our latest Data Science Central Webinar Series: Building a Predictive Analytics Solution with Azure ML sponsored by Microsoft

In this webinar we will provide a detailed introduction to Azure ML.  Learn how to build and operationalize a predictive analytics model. We will also discuss:

• Typical steps involved in building a predictive analytics solution such as data ingestion, data cleansing, data exploration, feature engineering, model selection and evaluation of model results
• How to use machine learning with big data scenarios using tools like Hadoop and SQL Server to process and work with such data.

Speakers: 
Chirag Dhull, Product Manager, Azure Machine Learning
Dr. Fidan Boylu, Senior Data Scientist, Microsoft  

Hosted by: 
Vincent Granville, Co-Founder, Data Science Central

Register here

Microsoft delivers public preview of mobile real-time analytics on Azure

Microsoft has made available a public preview test build of its new mobile real-time analytics service running on Azure.

Officially christened "Azure Mobile Engagement," the new service is built on technology Microsoft acquired when it bought Paris-based Capptain in May 2014.

Continue reading here on +ZDNet

Microsoft makes its Hadoop on Azure service available to Linux users

Microsoft is making available a preview version of its Azure HDInsight (Hadoop on Azure) service running on Linux as of February 18.

hdinsightlinux.jpgLike its Windows counterpart, the HDInsight on Linux service is built on top of the Hortonworks Data Platform (HDP). HDInsight includes full compatibility with Apache Hadoop, as well as integration with Microsoft's own business-intelligence tools, such as Excel, SQL Server and PowerBI. And as it does with the Windows version, Microsoft plans to contribute back code it developed for the Linux HDInsight version to the Apache community, company officials said.

Read about it here on +ZDNet

Microsoft to offer a paid version of its internal Cosmos big-data service

Microsoft is developing an Azure-hosted, paid version of its internal-facing Cosmos big-data computation, analysis and storage service.

Mary J Foley speculated last August that Microsoft was poised to make Cosmos one of its next big Azure service offerings. Based on information shared with me by sources, it appears this, indeed, is happening.

Read more here on +ZDNet

Barracuda Networks to secure Microsoft Azure

This article talks about how +Barracuda (NYSE: CUDA) will be securing MS Azure.

Revised guidelines and best practices for using SQL Server in Microsoft Azure Virtual Machine

This post in the blog for the Microsoft Customer Service and Support teams tells you where to find them so you can make any necessary changes.

This should help if you are experiencing I/O performance issues.

Azure - Service Tiers and Performance Q&A from Technet

This very handy blog from Technet goes through the Service Tiers and Performance for Microsoft Azure.

I like the Active Geo-Replication which should make it easier to have a robust Disaster Recovery process, and that you can monitor the percentage of available CPU, memory, and read and write IO that is being consumed over time.

Interesting White Paper on using CA Erwin Data Modeller and Microsoft SQL Azure to move data into the Cloud

This white paper can be found in Information Management here and is written by Nuccio Piscopo who used to work for CA Technologies.

It uses a case study and identifies key actions, requirements and practices that can support activities to help create a plan for successfully moving data to the Cloud.  It also provides some useful insights into how to achieve a secure implementation.