Case study showing problem statement and target architecture for very high volume external event data pipeline and on premise Teradata EDW integration pipeline with Cloud OLAP Google BigQuery, Amazon Athena to support batch and real time analytics
Oracle Essbase in the Cloud A Mercer Advisors Success StoryPerficient, Inc.
Mercer Advisors, a privately held wealth management firm with approximately $11 billion in assets under management, needed a more robust financial reporting solution. Its legacy solution relied on an Excel-based framework with multiple General Ledger systems providing current and historical data.
Mercer Advisors decided to implement Essbase Cloud, part of the Oracle Analytics Cloud (OAC) platform to provide a modern platform for financial reporting. Mercer Advisors partnered with Perficient to execute on its vision to reap the benefits of this solution.
Mercer Advisors chief financial officer, Douglas Maxwell, discussed the OAC implementation including lessons learned and how OAC can benefit organizations like yours.
Discussion included:
-Challenges with the legacy environment
-Excel to cloud migration approach
-Benefits realized
Webinar: It's the 21st Century - Why Isn't Your Data Integration Loosely Coup...SnapLogic
In this webinar, learn from digital transformation and SOA thought leader Jason Bloomberg about traditional enterprise application integration (EAI), the rise of SOA and Web Services, and the latest REST and JSON initiatives.
This presentation also features a discussion of the age-old problem of implementing loosely coupled data integration, an architectural approach to solving this difficult problem and a demonstration of SnapLogic.
To learn more, visit: www.snaplogic.com/connect-faster
Businesses today are challenged with voluminous pockets of key business data residing across disparate systems and complex information structures. Inevitably, such complexities increases the business risk of poor decision-making, which can lead to significant damaging impact to the performance of an organisation.
Thus, the quality of data integration tools is becoming increasingly mission-critical. This is where Stambia can help. Stambia mitigates the negative effects and poor reliability of a complex information management structure to a considerable extent.
Presentation on how to assess. design, plan, implement and deploy Database-as-a-Service (DBaaS) in the Cloud using ITIL Governance and Service Management Principles
Start today on a relevant and incremental MDM journey.
A turnkey MDM solution allows you to collaborate on, maintain and provision accurate and reliable data across the enterprise; however, extended implementation times can delay time to value. Many successful MDM projects start small and grow over time. Open source provides a vehicle to start your MDM journey and deliver value - today.
This slideshow will show you:
* How an integrated solution for data integration, data quality and master data management can speed up and simplify implementation
* Why an active data model allows you to quickly reflect unique data requirements
* The importance of a dynamic MDM interface that enables immediate collaboration and stewardship
To view the entire webinar with the demonstration, click on : http://nxy.in/bhl3z
If you wish to see other webinars, click on: http://nxy.in/hkidj
For Live Webinars, click here: http://nxy.in/pjeph
Case study showing problem statement and target architecture for very high volume external event data pipeline and on premise Teradata EDW integration pipeline with Cloud OLAP Google BigQuery, Amazon Athena to support batch and real time analytics
Oracle Essbase in the Cloud A Mercer Advisors Success StoryPerficient, Inc.
Mercer Advisors, a privately held wealth management firm with approximately $11 billion in assets under management, needed a more robust financial reporting solution. Its legacy solution relied on an Excel-based framework with multiple General Ledger systems providing current and historical data.
Mercer Advisors decided to implement Essbase Cloud, part of the Oracle Analytics Cloud (OAC) platform to provide a modern platform for financial reporting. Mercer Advisors partnered with Perficient to execute on its vision to reap the benefits of this solution.
Mercer Advisors chief financial officer, Douglas Maxwell, discussed the OAC implementation including lessons learned and how OAC can benefit organizations like yours.
Discussion included:
-Challenges with the legacy environment
-Excel to cloud migration approach
-Benefits realized
Webinar: It's the 21st Century - Why Isn't Your Data Integration Loosely Coup...SnapLogic
In this webinar, learn from digital transformation and SOA thought leader Jason Bloomberg about traditional enterprise application integration (EAI), the rise of SOA and Web Services, and the latest REST and JSON initiatives.
This presentation also features a discussion of the age-old problem of implementing loosely coupled data integration, an architectural approach to solving this difficult problem and a demonstration of SnapLogic.
To learn more, visit: www.snaplogic.com/connect-faster
Businesses today are challenged with voluminous pockets of key business data residing across disparate systems and complex information structures. Inevitably, such complexities increases the business risk of poor decision-making, which can lead to significant damaging impact to the performance of an organisation.
Thus, the quality of data integration tools is becoming increasingly mission-critical. This is where Stambia can help. Stambia mitigates the negative effects and poor reliability of a complex information management structure to a considerable extent.
Presentation on how to assess. design, plan, implement and deploy Database-as-a-Service (DBaaS) in the Cloud using ITIL Governance and Service Management Principles
Start today on a relevant and incremental MDM journey.
A turnkey MDM solution allows you to collaborate on, maintain and provision accurate and reliable data across the enterprise; however, extended implementation times can delay time to value. Many successful MDM projects start small and grow over time. Open source provides a vehicle to start your MDM journey and deliver value - today.
This slideshow will show you:
* How an integrated solution for data integration, data quality and master data management can speed up and simplify implementation
* Why an active data model allows you to quickly reflect unique data requirements
* The importance of a dynamic MDM interface that enables immediate collaboration and stewardship
To view the entire webinar with the demonstration, click on : http://nxy.in/bhl3z
If you wish to see other webinars, click on: http://nxy.in/hkidj
For Live Webinars, click here: http://nxy.in/pjeph
Building trustworthy and effective AI solutions.
- Many cloud vendor AI services (AWS, GCP, Azure)
- Demo of a workflow with AWS Sagemaker
- What is AI Trust
- What is explainability
- How to add this to a workflow with S3, Sagemaker, Lambda (server less) and Postman
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and TableauDATAVERSITY
Got lots of data? So does Amaysim, a leading Australian telecom provider, with its billions of rows of data. The organization successfully empowers its small team of data analysts with self-service data analytics platforms so they can easily access the data they need, perform advanced analytics, and visualize findings for all stakeholders. Register for this session and learn how Amaysim uses the Alteryx-Redshift-Tableau BI stack to easily and quickly:
Extract data from their data warehouse and blend and enrich it with other sources
Give data analytical context by running statistical, predictive, and deep geo-spatial analytics
Create visualizations from analytics and then update Tableau Workbooks directly from Alteryx, or publish the results in Amazon Redshift, for easy direct access for their stakeholders from Tableau
Hear from Adrian Loong, Alteryx Analytics Certified Expert (ACE), and product marketers from AWS and Alteryx on how organizations can use Alteryx, Amazon Redshift and Tableau to enable data analysts to spin up new self-service analytics instances to enable fast investigation for critical business decisions.
How cloud databases and Database as a Service (DBaaS) are changing the responsibilities of the modern Database Administrator.
Presented by Frank Days of EnterpriseDB at Gartner Catalyst, August 2018.
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
Big Data Testing- Verify Structured and Unstructured Data SetsBugRaptors
Big data is a collection of large datasets that cannot be processed using traditional computing techniques. Performance & functional testing are the keys when it comes to Big data testing. It is very different from traditional data testing in terms of data, infrastructure & validation tools. To know all about big data testing, check out the PPT.
To get insights of Bugraptors bigdata testing portfolio, visit https://www.bugraptors.com/service/big-data-testing/
Presentation Dr Peter Black delivered at the 17th PNEC International Conference covering data integration with the cloud with some useful tips and advice on doing this successfully
Gaining operational excellence through it optimization & eaKen Ng
How you can improve operations by reaping the benefits of IT optimizations via Virtualization and Cloud Computing technologies and also by practicing Enterprise Architecture methodologies.
Modernize your Infrastructure and Mobilize Your DataPrecisely
Modernizing your infrastructure can get complicated really fast. The keys to success involve breaking down data silos and moving data to the cloud in real time. But building data pipelines to mobilize your data in the cloud can be time consuming. You need solutions that decrease bandwidth, ensure data consistency, and enable data migration and replication in real-time; solutions that help you build data pipelines in hours, not days.
Watch this on-demand webinar to learn about the trends and pitfalls related to modernizing your infrastructure to cloud, how the pace of on-prem data growth demands accelerating data streaming to analytics platforms, and why mobilizing your data for the cloud improves business outcomes.
During the “Architecting for the Cloud” breakfast seminar where we discussed the requirements of modern cloud-based applications and how to overcome the confinement of traditional on-premises infrastructure.
We heard from data management practitioners and cloud strategists about how organizations are meeting the challenges associated with building new or migrating existing applications to the cloud.
Finally, we discussed how the right cloud-based architecture can:
- Handle rapid user growth by adding new servers on demand
- Provide high performance even in the face of heavy application usage
- Offer around-the-clock resiliency and uptime
- Provide easy and fast access across multiple geographies
- Deliver cloud-enabled apps in public, private, or hybrid cloud environments
Third Nature - Open Source Data Warehousingmark madsen
An introductory presentation on open source for data warehousing and business intelligence. Covers some history of open source, projects in different areas, and some information on adoption.
You can download this and demo.case study PDFs at
http://thirdnature.net/tdwi_osbi_material.html
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo
Watch live session on-demand here: https://goo.gl/QccnZQ
Big data optimization is a daunting task. The optimizer is one of the most complex parts of any big data engine; it must ensure that the execution engine is performing at its best, so understanding how it works is crucial.
Watch this Denodo DataFest 2017 session to discover:
• Challenges in working with Big Data Workloads.
• What is under the hood of the data virtualization optimization engine.
• When, how, and why to use different optimization options.
iSeries applications are at the core of operations for many organizations, but it's time for the long-overdue modernization that has been delayed for decades.
Building trustworthy and effective AI solutions.
- Many cloud vendor AI services (AWS, GCP, Azure)
- Demo of a workflow with AWS Sagemaker
- What is AI Trust
- What is explainability
- How to add this to a workflow with S3, Sagemaker, Lambda (server less) and Postman
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and TableauDATAVERSITY
Got lots of data? So does Amaysim, a leading Australian telecom provider, with its billions of rows of data. The organization successfully empowers its small team of data analysts with self-service data analytics platforms so they can easily access the data they need, perform advanced analytics, and visualize findings for all stakeholders. Register for this session and learn how Amaysim uses the Alteryx-Redshift-Tableau BI stack to easily and quickly:
Extract data from their data warehouse and blend and enrich it with other sources
Give data analytical context by running statistical, predictive, and deep geo-spatial analytics
Create visualizations from analytics and then update Tableau Workbooks directly from Alteryx, or publish the results in Amazon Redshift, for easy direct access for their stakeholders from Tableau
Hear from Adrian Loong, Alteryx Analytics Certified Expert (ACE), and product marketers from AWS and Alteryx on how organizations can use Alteryx, Amazon Redshift and Tableau to enable data analysts to spin up new self-service analytics instances to enable fast investigation for critical business decisions.
How cloud databases and Database as a Service (DBaaS) are changing the responsibilities of the modern Database Administrator.
Presented by Frank Days of EnterpriseDB at Gartner Catalyst, August 2018.
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
Big Data Testing- Verify Structured and Unstructured Data SetsBugRaptors
Big data is a collection of large datasets that cannot be processed using traditional computing techniques. Performance & functional testing are the keys when it comes to Big data testing. It is very different from traditional data testing in terms of data, infrastructure & validation tools. To know all about big data testing, check out the PPT.
To get insights of Bugraptors bigdata testing portfolio, visit https://www.bugraptors.com/service/big-data-testing/
Presentation Dr Peter Black delivered at the 17th PNEC International Conference covering data integration with the cloud with some useful tips and advice on doing this successfully
Gaining operational excellence through it optimization & eaKen Ng
How you can improve operations by reaping the benefits of IT optimizations via Virtualization and Cloud Computing technologies and also by practicing Enterprise Architecture methodologies.
Modernize your Infrastructure and Mobilize Your DataPrecisely
Modernizing your infrastructure can get complicated really fast. The keys to success involve breaking down data silos and moving data to the cloud in real time. But building data pipelines to mobilize your data in the cloud can be time consuming. You need solutions that decrease bandwidth, ensure data consistency, and enable data migration and replication in real-time; solutions that help you build data pipelines in hours, not days.
Watch this on-demand webinar to learn about the trends and pitfalls related to modernizing your infrastructure to cloud, how the pace of on-prem data growth demands accelerating data streaming to analytics platforms, and why mobilizing your data for the cloud improves business outcomes.
During the “Architecting for the Cloud” breakfast seminar where we discussed the requirements of modern cloud-based applications and how to overcome the confinement of traditional on-premises infrastructure.
We heard from data management practitioners and cloud strategists about how organizations are meeting the challenges associated with building new or migrating existing applications to the cloud.
Finally, we discussed how the right cloud-based architecture can:
- Handle rapid user growth by adding new servers on demand
- Provide high performance even in the face of heavy application usage
- Offer around-the-clock resiliency and uptime
- Provide easy and fast access across multiple geographies
- Deliver cloud-enabled apps in public, private, or hybrid cloud environments
Third Nature - Open Source Data Warehousingmark madsen
An introductory presentation on open source for data warehousing and business intelligence. Covers some history of open source, projects in different areas, and some information on adoption.
You can download this and demo.case study PDFs at
http://thirdnature.net/tdwi_osbi_material.html
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo
Watch live session on-demand here: https://goo.gl/QccnZQ
Big data optimization is a daunting task. The optimizer is one of the most complex parts of any big data engine; it must ensure that the execution engine is performing at its best, so understanding how it works is crucial.
Watch this Denodo DataFest 2017 session to discover:
• Challenges in working with Big Data Workloads.
• What is under the hood of the data virtualization optimization engine.
• When, how, and why to use different optimization options.
iSeries applications are at the core of operations for many organizations, but it's time for the long-overdue modernization that has been delayed for decades.
This deck cover Microsoft Analytics Platform System (APS) formerly known as Parallel Data Warehouse (PDW). This is based on massively parallel processing technology and can typically reduce your OLAP workloads by 98%.
APS AU3 is a phenomenal technology based on SQL Server 2014 and costs a fraction of a comparable Netezza or Teradata.
Business Intelligence is an extremely hot career. If you are a DBA or have another IT position, how can you transition to a BI role? James Serra will describe what exactly BI is, what encompasses the Microsoft BI stack, why it is so popular, and why a BI career pays so much. Then James will delve into the steps to take to become a BI expert and how he made the transition.
If your company is planning to build a data warehouse or BI solution, you need to be aware that BI projects have high failure rates. Gartner says between 70% to 80% of corporate business intelligence projects fail. And with “big data” adding more complexity you can expect even more failures. However, the major causes of these failures are well known and can be avoided by implementing a set of best practices.
I have worked on dozens of end-to-end BI projects and have seen my share of successes and failures. I will talk about the reasons BI projects fail and share best practices and lessons learned so your BI project will fall into the “successful” category.
SQL Server 2016: Just a Few of Our DBA's Favorite ThingsHostway|HOSTING
Join Rodney Landrum, Senior DBA Consultant for Ntirety, a division of HOSTING, as he demonstrates his favorite new features of the latest Microsoft SQL Server 2016 Service Pack 1.
During the accompanying webinar and slides, Rodney will touch on the following:
• A demo of his favorite new features in SQL Server 2016 and SP1 including:
o Query Store
o Database Cloning
o Dynamic Data Masking
o Create or Alter
• A review of Enterprise features that are now available in standard edition
• New information in Dynamic Management Views and SQL Error Log that will make your DBAs job easier.
Leveraging ArcGIS Platform & CityEngine for GIS based Master PlansEsri India
Sustainable, scalable and future ready urban development is one the key priorities in India as well globally. Major government programs i.e. Smart Cities and Atal Mission for Rejuvenation and Urban Transformation (AMRUT) aim to build foundations to achieve this.
For any planned development, master plan is a starting point. A master plan provides a long term blueprint that guides the sustainable planned development of the city. Use of GIS for master planning is not new. GIS-based Master Plans will help in different types of urban planning exercises, e.g. preparation of development plan, zonal plan, utility plan, infrastructure plan, etc. Even Smart City program and AMRUT programs mandate use of GIS for master plan creation.
ArcGIS is a complete platform for end-to-end city planning, design and management. The webinar illustrates how ArcGIS Platform and 3D capabilities of CityEngine provides a complete set of tools for end-to-end GIS based master plan creation and updation.
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with HadoopPrecisely
With so many new, evolving frameworks, tools, and languages, a new big data project can lead to confusion and unwarranted risk.
Many organizations have found Data Warehouse Optimization with Hadoop to be a good starting point on their Big Data journey. Offloading ETL workloads from the enterprise data warehouse (EDW) into Hadoop is a well-defined use case that produces tangible results for driving more insights while lowering costs. You gain significant business agility, avoid costly EDW upgrades, and free up EDW capacity for faster queries. This quick win builds credibility and generates savings to reinvest in more Big Data projects.
A proven reference architecture that includes everything you need in a turnkey solution – the Hadoop distribution, data integration software, servers, networking and services – makes it even easier to get started.
Data Driven Advanced Analytics using Denodo Platform on AWSDenodo
Watch full webinar here: https://buff.ly/3JC8gCS
Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.
Watch this session to learn:
- How various AWS services (Redshift, S3, RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF)
- How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users.
- How governed Data Services layer enables self-service analytics in your complex AWS data landscape
Choosing technologies for a big data solution in the cloudJames Serra
Has your company been building data warehouses for years using SQL Server? And are you now tasked with creating or moving your data warehouse to the cloud and modernizing it to support “Big Data”? What technologies and tools should use? That is what this presentation will help you answer. First we will cover what questions to ask concerning data (type, size, frequency), reporting, performance needs, on-prem vs cloud, staff technology skills, OSS requirements, cost, and MDM needs. Then we will show you common big data architecture solutions and help you to answer questions such as: Where do I store the data? Should I use a data lake? Do I still need a cube? What about Hadoop/NoSQL? Do I need the power of MPP? Should I build a "logical data warehouse"? What is this lambda architecture? Can I use Hadoop for my DW? Finally, we’ll show some architectures of real-world customer big data solutions. Come to this session to get started down the path to making the proper technology choices in moving to the cloud.
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...Hortonworks
Many enterprises are turning to Apache Hadoop to enable Big Data Analytics and reduce the costs of traditional data warehousing. Yet, it is hard to succeed when 80% of the time is spent on moving data and only 20% on using it. It’s time to swap the 80/20! The Big Data experts at Attunity and Hortonworks have a solution for accelerating data movement into and out of Hadoop that enables faster time-to-value for Big Data projects and a more complete and trusted view of your business. Join us to learn how this solution can work for you.
As users gain more experience with Hadoop, they are building on their early success and expanding the size and scope of Hadoop projects. Syncsort’s third annual Hadoop Market Adoption Survey reflects the fact that Hadoop is no longer considered a technology for the future as it was when we first started conducting this research.
Get an in-depth look at the survey results and five trends to watch for in 2017. You’ll also learn:
• The best uses for Hadoop in 2017 – real-word examples of how Enterprises are realizing the value of Big Data
• Solutions to help you address the challenges enterprises still face in employing Hadoop
• What the future of Hadoop means for your business
Reflect Datasheet - Empower Data Self-ServiceJeremy Simmons
DataRoad Reflect solves common integration problems by automating the data flow process and empowering data users with a true self-service platform. Reflect’s intuitive web user interface provides access to data in a simple two-step process.
Data is in the hands of users within minutes, without the need for complex projects or costly custom development. This allows enterprises to re-prioritize resources to focus on gaining insights to the data instead of preparing it.
Modern Data Management for Federal ModernizationDenodo
Watch full webinar here: https://bit.ly/2QaVfE7
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
Best Practices in the Cloud for Data Management (US)Denodo
Watch here: https://bit.ly/2Npt82U
If you have data, you are engaged in data management—be sure to do it effectively.
As organizations are assessing how COVID-19 has impacted their operations, new possibilities and uncharted routes are becoming the norm for many businesses. While exploring and implementing different deployment and operational models, the question of data management naturally surfaces while considering how these changes impact your data. Is this the right time to focus on data management? The reality is that if you have data, you are engaged in data management and so the real question is, are you doing it well?
Join Brice Giesbrecht from Caserta and Mitesh Shah from Denodo to explore data management challenges and solutions facing data driven organizations.
Hortonworks Oracle Big Data Integration Hortonworks
Slides from joint Hortonworks and Oracle webinar on November 11, 2014. Covers the Modern Data Architecture with Apache Hadoop and Oracle Data Integration products.
Sabre is a technology solutions provider to the global travel and tourism industry, encompassing four business units: Sabre Airlines Solutions, Sabre Travel Network, Sabre Hospitality Solutions and Travelocity. Sabre provides software to travel agencies, corporations, travelers, airlines, hotels, rental car, rail, cruise and tour operator companies. Divisions within each of these groups also service the business or corporate travel market. Sabre grew out of American Airlines and was spun off with an IPO in 2000 and currently employs approximately 10,000 people in 60 countries. In addition to managing the business processes and reporting across the four divisions, the IT group has been tasked to provide an agile architecture to accommodate M&A opportunities in the hospitality industry. Clearly, one of the biggest opportunities for leverage of corporate information assets is travel-related “public” and “private” reference data. Critical to the launch of such a program is to answer the key question “Why after all this time do we need RDM?” This session will provide insights and best practices concerning the establishment of an enterprise RDM program in a large global enterprise by discussing topics such as:
– Establishing the business value of an enterprise RDM program (“Hello, Houston … we have a problem”)
– Overcoming the cultural & territorial obstacles by selling change as a compelling argument for RDM (“Shift Happens”)
– Futureproofing the enterprise RDM program solution, outcome & direction (“What we didn’t think about”)
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
2. Microsoft’s End-To-End Data Platform
SELF-SERVICE
INSIGHTS
OPERATIONAL
MOBILE
DATA ENRICHMENT
DISCOVER
AND RECOMMEND
TRANSFORM
AND CLEAN
SHARE
AND GOVERN
DATA MANAGEMENT
1
011
01
RELATIONAL
NON-RELATIONAL
MULTIDIMENSIONAL
STREAMING
MARKETPLACE
PREDICTIVE
External Data
and Services
REAL-TIME
COLLABORATIV
E
3. COMPELLING EVENTS FOR PDW
Significant data
growth
Daily
information
available too
late
Analyzing new
data types
Poor query or
report
performance
Current DWH
is burden on
infrastructure
Current
environment
too expensive
Parallel Data Warehouse
PDW = Speed and Scale
Right-time
analytics
Mixed
workloads /
high
concurrency
4. Microsoft Value Proposition
Single Point of
Contact for
Support
Appliance
Simplicity and
ease of
administration for
DBAs and Sys
Admin
Leverage current
investments and
existing skillsets
TIME TO VALUE:
- Low Migration
Effort
- Low Risk
Lack of Disruption
of business
processes
Largest and
Cheapest
Ecosystem
Expertise
Fast Learning
Curve
Linear Scalability
true MPP
architecture:
- Concurrency
- Data Space (Up
to 340 TB per
Rack).
Great price &
performance
Leverage Current
Business
Partnership and
Drive Synergy
4
7. V2
Any data
Use familiar T-SQL to
query data in PDW and
data in Hadoop natively
010101010101010101
1010101010101010
01010101010101
101010101010
Query “Big Data” in
Hadoop without moving
data into PDW
8. V2
Next generation
performance
Memory-Optimized
Columnstore Index for 10-100x
Single Query
Data Compression Reducing
Storage Costs and Data Scans
By restructuring our warehouse with xVelocity, data loading and reporting
are significantly faster. The large report that used to take 17
render now takes only 3
seconds.
minutes
to
- Wolfgang
Kutschera
bwin.party
Updateable Columnstore
10. V2
Management Simplicity
System Center included
in-the-box
Get SQL Server 2012
Compatibility
• SQL Server Management
Tools
• T-SQL language compatibility
• SSIS 2012 Adapter
Industry Standard
Hardware Partners
Limited Workload
Management
12. Additional Resources
» SQL Server Parallel Data Warehouse (PDW) Landing Page:
www.microsoft.com/PDW
» New PDW Whitepaper:
http://msdn.microsoft.com/en-us/library/dn520808.aspx
» Introduction to Polybase:
http://www.microsoft.com/en-us/sqlserver/solutions-technologies/datawarehousing/polybase.aspx
» Price/TB comparison:
http://www.valueprism.com/resources/resources/Resources/PDW%20Compete%20Pricing%20FIN
AL.pdf
Editor's Notes
This is our marchitecture slide that shows Microsoft’s End-to-End Data Platform. Data Management Layer: Today, IT faces new challenges, there is an entirely new scale and scope to the kinds of data users are trying to gain insights from across both relational and non-relational sources. This growth is coming from: 1) Transactional growth in your business. 2) New data sources – image files, sensors driven 3) Moving business online – entirely new channels, with different pace at which the business needs to operate. To address this, Microsoft’s data management layer will be built for both traditional relational formats but also unstructured and semi-structured data found in “Big Data” as well as multi-dimensional and streaming. Microsoft offers a comprehensive list of solutions that address this.Relational DW offerings: SQL Server 2012, SQL Server 2012 Fast Track, Parallel Data Warehouse, Dell QuickstartNon-relational offerings: HDInsight on Windows Azure, HDInsight on Windows ServerMulti-dimensional: Analysis ServicesStreaming: Stream InsightData Enrichment Layer: Once data is acquired, it requires enrichment to be able to discover and recommend, transform and clean, and share and govern. Discover and recommend: Today, it is hard enough to find the right dataset within an organization, let alone outside it. An Azure Lab, codenamed “Data Explorer”, enables customers to discover relevant datasets through automatic recommendations, e.g. if an analyst is building a customer segmentation model and can automatically recommend related datasets such as Dunn and Bradstreet with useful credit information. Another lab codenamed “Data Hub” enables an organization to create a private Data Market to facilitate discovery and sharing of data and analytical models. Transform and clean – Microsoft has traditionally offered data movement (ETL) tools found in Integration Services that date back many SQL editions. In SQL Server 2012, Microsoft also offers a revamped Master Data Services to give customers a central hub that ensures the integrity and consistency of data is constant across different applications . Brand new in SQL Server 2012 is Data Quality Services enable organizations to cleanse, match, standardize, and enrich data, so they can deliver trusted information for their warehouse.Insights Layer: More than just collecting data, a business analytics platform needs to provide insights to allow users make timely decisions. Microsoft uniquely ships major components of an integrated BI solution with our data warehousing offerings out-of-the-box. Overcoming the traditional BI challenges of low user adoption due to the complexity and costs, Microsoft SQL Server Data Warehousing also leverages Office and SharePoint to empower business users with familiar interfaces opening up complex data analysis to everyone. In Office 2013, Microsoft goes a step further by giving every end user the ability to visualize and analyze hundreds of millions of rows of data in-memory within the native Excel client (out-of-the-box).