Scaling Data Science: Engineering a PlatformDataScience
At DataScience, all analysts work on a single virtual machine called “data science tools.” This presentation discusses the path to building a singular virtualized machine used to scale across our current staff and to quickly onboard new staff.
SuiteHelp 4.0: Latest Features in Enterprise WebhelpSuite Solutions
Learn about the new features in SuiteHelp 4.0, the latest in enterprise webhelp!
SuiteHelp 4.0's mobile-friendly responsive design uses common Bootstrap elements already familiar to mobile users. SuiteHelp 4.0 also includes a variety of improvements in context sensitivity, navigation, and ease of customization.
"DOKU under the hood : Infrastructure and Cloud Services Technology" by M. T...Tech in Asia ID
M. Triana Waluja Djati or Djati, was assigned as Technical Advisor to DOKU back in 2008 and permanently joining DOKU on 2009. Ever since, he is trusted to manage DOKU’s network, system, and IT infrastructure. He has been working closely with IT developer and IT operations team. He is also in charge for IT security and product’s compliance. Djati began his career working as a developer in a software company in 1998. He worked at PT. Hariff DTE in 2014 as IT Supervisor for ERP System. Djati graduated from Institut Teknologi Bandung with a bachelor degree in Physics.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
Scaling Data Science: Engineering a PlatformDataScience
At DataScience, all analysts work on a single virtual machine called “data science tools.” This presentation discusses the path to building a singular virtualized machine used to scale across our current staff and to quickly onboard new staff.
SuiteHelp 4.0: Latest Features in Enterprise WebhelpSuite Solutions
Learn about the new features in SuiteHelp 4.0, the latest in enterprise webhelp!
SuiteHelp 4.0's mobile-friendly responsive design uses common Bootstrap elements already familiar to mobile users. SuiteHelp 4.0 also includes a variety of improvements in context sensitivity, navigation, and ease of customization.
"DOKU under the hood : Infrastructure and Cloud Services Technology" by M. T...Tech in Asia ID
M. Triana Waluja Djati or Djati, was assigned as Technical Advisor to DOKU back in 2008 and permanently joining DOKU on 2009. Ever since, he is trusted to manage DOKU’s network, system, and IT infrastructure. He has been working closely with IT developer and IT operations team. He is also in charge for IT security and product’s compliance. Djati began his career working as a developer in a software company in 1998. He worked at PT. Hariff DTE in 2014 as IT Supervisor for ERP System. Djati graduated from Institut Teknologi Bandung with a bachelor degree in Physics.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
Introduction to Microsoft’s Hadoop solution (HDInsight)James Serra
Did you know Microsoft provides a Hadoop Platform-as-a-Service (PaaS)? It’s called Azure HDInsight and it deploys and provisions managed Apache Hadoop clusters in the cloud, providing a software framework designed to process, analyze, and report on big data with high reliability and availability. HDInsight uses the Hortonworks Data Platform (HDP) Hadoop distribution that includes many Hadoop components such as HBase, Spark, Storm, Pig, Hive, and Mahout. Join me in this presentation as I talk about what Hadoop is, why deploy to the cloud, and Microsoft’s solution.
Business Intelligence is becoming more important for both Government and Commercial Enterprises as a result of the increased focus on operational efficiency in a less buoyant marketplace.
We have all known for a while that Discoverer was no longer a strategic BI product for Oracle. The question now is where do we go next?
This presentation will consider the advantages and disadvantages of a number of options including Oracle BI Enterprise Edition, Application Express, and other non Oracle offerings such as Jasper Reports. We will also look at various approaches for moving to these alternatives.
Microsoft is working hard to make Artificial Intelligence available to everyone. We not only infuse AI in our products but also give you the platform to build your very own solution, that you are a developer, a citizen data scientist or a hard core data scientist.
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...Daniel Zivkovic
Take a peek into the future of IT - beyond Serverless Software Development, when Serverless becomes a way to run Internal IT.
When ServerlessToronto.org invited Joe Emison - AWS Serverless Hero, we expected to see how he "knocked down the wall" between AWS & Google Clouds (to query Amazon DynamoDB from Google BigQuery) using the Fivetran ELT tool, but we learned so much more... and you will too: https://youtu.be/GK5Ivm6EOlI
Intoduction to sql 2012 Tabular ModelingKaran Gulati
New modeling option in SQL 2012 Analysis Services – Tabular Server
•BISM Vision
•Table-like modeling
•Finding Remote of James Bond Car
•ABCD – Anybody Can Dance
Using OBIEE and Data Vault to Virtualize Your BI Environment: An Agile ApproachKent Graziano
First we interview the users, then we design a reporting model based on those interviews. We follow that up with mounds of ETL development to load the new model, basically keeping the user community in the dark during all that development. Does this sound familiar?
This presentation will demonstrate an alternative approach using the Data Vault Data Modeling technique to build a flexible, easily-extensible “Foundation” layer in our data warehouse with an Agile, iterative methodology. Relying on the Business Model and Mapping (BMM) functionality of OBIEE, we can rapidly virtualize a dimensional reporting model using the pattern-based Data Vault Foundation layer to decrease the time, and money, it takes to get BI content in front of end users. Attendees will see a sample Data Vault model designed iteratively and deployed to the semantic model of OBIEE.
24 Hours of PASS -- Enterprise Data Mining with SQL ServerMark Tabladillo
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
Machine learning applications are typically stitched together from hopes and dreams, shell scripts, cron jobs, home-grown schedulers, snippets of configuration clipped from multiple blog posts, thousands of hard-coded business rules, a.k.a. "our SQL corpus," and a few lines of training and testing code. Organizing all the moving parts into something maintainable and supportive of ongoing development is a challenge most teams have on their TODO list, roadmap, or tech debt pile. Getting ahead of the day-to-day demands and settling into a sane architecture often seems like an unattainable goal. The past several years have seen an explosion of tool-building in the data engineering and analytics area, including in Apache projects spanning the areas of search and information retrieval, job orchestration, file and stream formats, and machine learning libraries. In this talk we will cover our product and development teams' choices of architecture and tools, from data ingestion and storage, through transformations and processing, to presentation of results and publishing to web services, reports, and applications.
Agile & Data Modeling – How Can They Work Together?DATAVERSITY
A tenet of the Agile Manifesto is ‘Working software over comprehensive documentation’, and many have interpreted that to mean that data models are not necessary in the agile development environment. Others have seen the value of data models for achieving the other core tenets of ‘Customer Collaboration’ and ‘Responding to Change’.
This webinar will discuss how data models are being effectively used in today’s Agile development environment and the benefits that are being achieved from this approach.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/uncode-ai-code-free-development-delivery-and-maintenance-of-edge-ai-applications-a-presentation-from-blaize/
Dmitry Zakharchenko, Vice President of Research and Product Development at Blaize, presents the “Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit.
Software is becoming the critical differentiator in AI edge app development and adoption. This presentation examines a new approach for enterprises challenged to take AI edge products from idea to production fast, but lacking the right talent, tools and capacity to deliver. Zakharchenko provides a detailed look at the new Blaize AI Studio Platform, the industry’s first end-to-end open software platform for the complete AI edge application lifecycle.
Zakharchenko examines how a code-free visual interface, contextually intelligent assistive agent, and knowledge-driven recommendation systems open doors for AI developers, systems builders and subject matter experts to easily develop, deploy and manage AI edge applications. He also touches on the implications of the emergence of easy-to-use AI systems, and a vision for the potential of these systems to be deployment vehicles for widespread AI use case innovation and affordable AI applications.
We live in an increasingly data driven world, but without a real deep understanding of the ethical delimmas around it. In this presentation, we'll look at some recent ethical problems that have cropped up and discuss what can be done to address them
SIM RTP Meeting - So Who's Using Open Source Anyway?Alex Meadows
Open Source has been around for several decades now, but there is still a bit of mystery around what makes open source work and concern about using it in the enterprise. Open Source technologies are being widely used in many industries, including analytics, software development, social media, data center management, and more.
The discussion will be moderated by Julie Batchelor and panelists include:
* Todd Lewis, Open Source evangelist
* Jason Hibbets, Open Source Community Manager
* Jim Salter, Co-Owner and Chief Technology Officer at Openoid, LLC
* Alex Meadows, data scientist
Introduction to Microsoft’s Hadoop solution (HDInsight)James Serra
Did you know Microsoft provides a Hadoop Platform-as-a-Service (PaaS)? It’s called Azure HDInsight and it deploys and provisions managed Apache Hadoop clusters in the cloud, providing a software framework designed to process, analyze, and report on big data with high reliability and availability. HDInsight uses the Hortonworks Data Platform (HDP) Hadoop distribution that includes many Hadoop components such as HBase, Spark, Storm, Pig, Hive, and Mahout. Join me in this presentation as I talk about what Hadoop is, why deploy to the cloud, and Microsoft’s solution.
Business Intelligence is becoming more important for both Government and Commercial Enterprises as a result of the increased focus on operational efficiency in a less buoyant marketplace.
We have all known for a while that Discoverer was no longer a strategic BI product for Oracle. The question now is where do we go next?
This presentation will consider the advantages and disadvantages of a number of options including Oracle BI Enterprise Edition, Application Express, and other non Oracle offerings such as Jasper Reports. We will also look at various approaches for moving to these alternatives.
Microsoft is working hard to make Artificial Intelligence available to everyone. We not only infuse AI in our products but also give you the platform to build your very own solution, that you are a developer, a citizen data scientist or a hard core data scientist.
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...Daniel Zivkovic
Take a peek into the future of IT - beyond Serverless Software Development, when Serverless becomes a way to run Internal IT.
When ServerlessToronto.org invited Joe Emison - AWS Serverless Hero, we expected to see how he "knocked down the wall" between AWS & Google Clouds (to query Amazon DynamoDB from Google BigQuery) using the Fivetran ELT tool, but we learned so much more... and you will too: https://youtu.be/GK5Ivm6EOlI
Intoduction to sql 2012 Tabular ModelingKaran Gulati
New modeling option in SQL 2012 Analysis Services – Tabular Server
•BISM Vision
•Table-like modeling
•Finding Remote of James Bond Car
•ABCD – Anybody Can Dance
Using OBIEE and Data Vault to Virtualize Your BI Environment: An Agile ApproachKent Graziano
First we interview the users, then we design a reporting model based on those interviews. We follow that up with mounds of ETL development to load the new model, basically keeping the user community in the dark during all that development. Does this sound familiar?
This presentation will demonstrate an alternative approach using the Data Vault Data Modeling technique to build a flexible, easily-extensible “Foundation” layer in our data warehouse with an Agile, iterative methodology. Relying on the Business Model and Mapping (BMM) functionality of OBIEE, we can rapidly virtualize a dimensional reporting model using the pattern-based Data Vault Foundation layer to decrease the time, and money, it takes to get BI content in front of end users. Attendees will see a sample Data Vault model designed iteratively and deployed to the semantic model of OBIEE.
24 Hours of PASS -- Enterprise Data Mining with SQL ServerMark Tabladillo
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
Machine learning applications are typically stitched together from hopes and dreams, shell scripts, cron jobs, home-grown schedulers, snippets of configuration clipped from multiple blog posts, thousands of hard-coded business rules, a.k.a. "our SQL corpus," and a few lines of training and testing code. Organizing all the moving parts into something maintainable and supportive of ongoing development is a challenge most teams have on their TODO list, roadmap, or tech debt pile. Getting ahead of the day-to-day demands and settling into a sane architecture often seems like an unattainable goal. The past several years have seen an explosion of tool-building in the data engineering and analytics area, including in Apache projects spanning the areas of search and information retrieval, job orchestration, file and stream formats, and machine learning libraries. In this talk we will cover our product and development teams' choices of architecture and tools, from data ingestion and storage, through transformations and processing, to presentation of results and publishing to web services, reports, and applications.
Agile & Data Modeling – How Can They Work Together?DATAVERSITY
A tenet of the Agile Manifesto is ‘Working software over comprehensive documentation’, and many have interpreted that to mean that data models are not necessary in the agile development environment. Others have seen the value of data models for achieving the other core tenets of ‘Customer Collaboration’ and ‘Responding to Change’.
This webinar will discuss how data models are being effectively used in today’s Agile development environment and the benefits that are being achieved from this approach.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/uncode-ai-code-free-development-delivery-and-maintenance-of-edge-ai-applications-a-presentation-from-blaize/
Dmitry Zakharchenko, Vice President of Research and Product Development at Blaize, presents the “Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit.
Software is becoming the critical differentiator in AI edge app development and adoption. This presentation examines a new approach for enterprises challenged to take AI edge products from idea to production fast, but lacking the right talent, tools and capacity to deliver. Zakharchenko provides a detailed look at the new Blaize AI Studio Platform, the industry’s first end-to-end open software platform for the complete AI edge application lifecycle.
Zakharchenko examines how a code-free visual interface, contextually intelligent assistive agent, and knowledge-driven recommendation systems open doors for AI developers, systems builders and subject matter experts to easily develop, deploy and manage AI edge applications. He also touches on the implications of the emergence of easy-to-use AI systems, and a vision for the potential of these systems to be deployment vehicles for widespread AI use case innovation and affordable AI applications.
We live in an increasingly data driven world, but without a real deep understanding of the ethical delimmas around it. In this presentation, we'll look at some recent ethical problems that have cropped up and discuss what can be done to address them
SIM RTP Meeting - So Who's Using Open Source Anyway?Alex Meadows
Open Source has been around for several decades now, but there is still a bit of mystery around what makes open source work and concern about using it in the enterprise. Open Source technologies are being widely used in many industries, including analytics, software development, social media, data center management, and more.
The discussion will be moderated by Julie Batchelor and panelists include:
* Todd Lewis, Open Source evangelist
* Jason Hibbets, Open Source Community Manager
* Jim Salter, Co-Owner and Chief Technology Officer at Openoid, LLC
* Alex Meadows, data scientist
Data Warehousing is a data architecture that separates reporting and analytics needs from operational transaction systems. This presentation is an introduction into traditional data warehousing architectures and how to determine if your environment requires a data warehouse.
Building next generation data warehousesAlex Meadows
All Things Open 2016 Talk - discussing technologies used to augment traditional data warehousing. Those technologies are:
* data vault
* anchor modeling
* linked data
* NoSQL
* data virtualization
* textual disambiguation
How Linked Data Can Speed Information DiscoveryAlex Meadows
Linked data platforms are now making it easier than ever to perform data exploration and discovery without having to wait to get the data integrated into the data warehouse. In this presentation, we discuss what linked data is and show a case study on integrating separate source systems so that scientists don't have to learn the source systems structures to get to their data.
Triple stores are finally seeing mainstream use, but what exactly is all this talk about linked data? In this deck, we discuss what the semantic web is and how to map your relational data sets into a triple store database using open source software.
Slides used for a presentation to introduce the field of business analytics. Covers what BA is, how it is a part of business intelligence, and what areas make up BA.
Big Data has been around long enough that there are some common issues that occur whenever an organization tries to implement and integrate it into their ecosystem. This presentation covers some of those pitfalls, which also impact traditional data warehouses/business intelligence ecosystems
"Big Data" is big business, but what does it really mean? How will big data impact industries and consumers? This slide deck goes through some of the high level details of the market and how it is revolutionizing the world.
Providing value to the customer is one of the biggest challenges for any team to succeed in, let alone BI teams. Agile allows for moving into a faster delivery mode by slowing down to speed up. In this presentation, we cover tips for setting up an Agile practice, common pitfalls to avoid, and why Agile is just now taking off in the BI space.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2.
Principal Consultant (Data and Analytics),
CSpring
Business Analytics Adjunct Professor, Wake
Tech
MS in Business Intelligence
Loves working in open source code
Passion in developing BI solutions that provide
end users easy access to necessary data to
find the answers they demand (even the ones
they don’t know yet!)
Twitter: @OpenDataAlex LinkedIn: alexmeadows
GitHub: OpenDataAlex Email: ameadows@cspring.com
About Alex
3. Agenda
What Is Continuous Integration?
Continuous Integration for Smaller Development Teams/Individuals
Q&A
Please feel free to ask questions throughout the presentation!
12. Pros and Cons
● Fully configurable
● Customized to fit your
environment
– Virtual Machines
– Data store integration
● On-site build help
(see build master)
● Maintenance of
customized
environment
● Accessibility
● Potential single points
of failure (see build
stack, build master)
Typical CI Stack
13. Build Master
● Solution Architect
● Troubleshooter
● Administrator
● Magician
● Typically very, very
under-appreciated
14. What About Solo Devs/Small
Teams?
● Build Master role is either
ignored or as-needed
● Builds are when the group
can find time
● Documentation
missing/out of
date/rushed
● Testing may/may not exist
16. Some Caveats
● Most services listed are free for open source
● Closed source ups the cost significantly for
some of these services
● New services are coming up regularly –
apologies if I missed your favorite!
17. Pros and Cons
● No hardware to maintain
● Simple configuration and
management
● Anyone can manage
scripts
● Very accessible
● Distributed build help
(yourself, team, or
services)
● Reliant on services
● Anyone can manage
scripts
● Security more of a
concern
Service CI Stack
So here’s a bit about me. There are three things I’m going to ask of you, the first being – please feel free to reach out! I love talking and learning about what folks are using out in the wild and sharing. If you want to know more or chat more about any topic within data science/business intelligence just message me via one of the above methods.
By the end of this presentation, you will know where traditional data warehousing is failing and have a basic understanding of what technologies and methodologies are helping to address the needs of more data savvy customer bases.
CI is a lot like other development methodologies and comes from the agile world where the project starts with planning, goes through to coding and building/testing, and then on into release and deployment and into production. Production then allows for feedback to be gathered which feeds back into the planning phase and so on.
Image Source: https://www.soasta.com/solutions/continuous-load-testing/