Teradata is a leading provider of business intelligence and data warehousing solutions. It helps organizations gain insights from their data to make more agile decisions. The document promotes Teradata's focus on helping clients anticipate changes, understand customers and competitors, and outperform through analytics. It outlines Teradata's leadership in key industries and partnerships with other major technology providers.
Trending use cases have pointed out the complementary nature of Hadoop and existing data management systems—emphasizing the importance of leveraging SQL, engineering, and operational skills, as well as incorporating novel uses of MapReduce to improve distributed analytic processing. Many vendors have provided interfaces between SQL systems and Hadoop but have not been able to semantically integrate these technologies while Hive, Pig and SQL processing islands proliferate. This session will discuss how Teradata is working with Hortonworks to optimize the use of Hadoop within the Teradata Analytical Ecosystem to ingest, store, and refine new data types, as well as exciting new developments to bridge the gap between Hadoop and SQL to unlock deeper insights from data in Hadoop. The use of Teradata Aster as a tightly integrated SQL-MapReduce® Discovery Platform for Hadoop environments will also be discussed.
Teradata Aster: Big Data Discovery Made Easy
Brad Elo, VP, Aster Data, Teradata
ANALYTICS AND VISUALIZATION FOR THE FINANCIAL ENTERPRISE CONFERENCE
June 25, 2013 The Langham Hotel Boston, MA
The C-level executives are puzzled rightfully, why CDI projects are so complex, time consuming and too expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the maturity level at present of CDI/MDM technologies. It is in this context that this paper makes an attempt to provide a direction with golden rules [Best Practices], distilled with years of experience to smoothen any CDI implementation.
Objectives:
1) Discuss the challenges associated with customer data management
2) Present the Best Practices in managing the customer data
3) Discuss the importance of Data Quality and Data Governance
For white paper which has more detailed information of this presentation, please send an email. Email address is listed in the last slide of this presentation.
Trending use cases have pointed out the complementary nature of Hadoop and existing data management systems—emphasizing the importance of leveraging SQL, engineering, and operational skills, as well as incorporating novel uses of MapReduce to improve distributed analytic processing. Many vendors have provided interfaces between SQL systems and Hadoop but have not been able to semantically integrate these technologies while Hive, Pig and SQL processing islands proliferate. This session will discuss how Teradata is working with Hortonworks to optimize the use of Hadoop within the Teradata Analytical Ecosystem to ingest, store, and refine new data types, as well as exciting new developments to bridge the gap between Hadoop and SQL to unlock deeper insights from data in Hadoop. The use of Teradata Aster as a tightly integrated SQL-MapReduce® Discovery Platform for Hadoop environments will also be discussed.
Teradata Aster: Big Data Discovery Made Easy
Brad Elo, VP, Aster Data, Teradata
ANALYTICS AND VISUALIZATION FOR THE FINANCIAL ENTERPRISE CONFERENCE
June 25, 2013 The Langham Hotel Boston, MA
The C-level executives are puzzled rightfully, why CDI projects are so complex, time consuming and too expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the maturity level at present of CDI/MDM technologies. It is in this context that this paper makes an attempt to provide a direction with golden rules [Best Practices], distilled with years of experience to smoothen any CDI implementation.
Objectives:
1) Discuss the challenges associated with customer data management
2) Present the Best Practices in managing the customer data
3) Discuss the importance of Data Quality and Data Governance
For white paper which has more detailed information of this presentation, please send an email. Email address is listed in the last slide of this presentation.
Data-Ed Online Presents: Data Warehouse StrategiesDATAVERSITY
Integrating data across systems has been a perpetual challenge. Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics. Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3rd are considered successes when measured against price, schedule, or functionality objectives. The first step is determining the appropriate analysis approach to the data system integration challenge. The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered. This webinar will illustrate that good systems development more often depends on at least three data management disciplines in order to provide a solid foundation.
Takeaways:
Data system integration challenge analysis
Understanding of a range of data system-integration technologies including
Problem space (BI, Analytics, Big Data), Data (Warehousing, Vault, Cube) and alternative approaches (Virtualization, Linked Data, Portals, Meta-models)
Understanding foundational data warehousing & BI concepts based on the Data Management Body of Knowledge (DMBOK)
How to utilize data warehousing & BI in support of business strategy
Hadoop World 2011: Big Data Architecture: Integrating Hadoop with Other Enter...Cloudera, Inc.
Recent research has pointed out the complementary nature of Hadoop and other data management solutions and the importance of leveraging existing systems, SQL, engineering, and operational skills, as well as incorporating novel uses of MapReduce to improve analytic processing. Come to this session to learn how companies optimize the use of Hadoop with other enterprise systems to improve overall analytical throughput and build new data-driven products. This session covers: ways to achieve high-performance integration between Hadoop and relational-based systems; Hadoop+NoSQL vs Hadoop+SQL architectures; high-speed, massively parallel data transfer to analytical platforms that can aggregate web log data with granular fact data; and strategies for freeing up capacity for more explorative, iterative analytics and ad hoc queries.
White Paper - Data Warehouse GovernanceDavid Walker
An organisation that is embarking on a data warehousing project is undertaking a long-term development and maintenance programme of a computer system. This system will be critical to the organisation and cost a significant amount of money, therefore control of the system is vital. Governance defines the model the organisation will use to ensure optimal use and re- use of the data warehouse and enforcement of corporate policies (e.g. business design, technical design and application security) and ultimately derive value for money.
This paper has identified five sources of change to the system and the aspects of the system that these sources of change will influence in order to assist the organisation to develop standards and structures to support the development and maintenance of the solution. These standards and structures must then evolve, as the programme develops to meet its changing needs.
“Documentation is not understanding, process is not discipline, formality is not skill”1
The best governance must only be an aid to the development and not an end in itself. Data Warehouses are successful because of good understanding, discipline and the skill of those involved. On the other hand systems built to a template without understanding, discipline and skill will inevitably deliver a system that fails to meet the users’ needs and sooner rather than later will be left on the shelf, or maintained at a very high cost but with little real use.
The winners among vendors will have exceptional capability in implementation of large projects pulling together capabilities in reporting and querying, multidimensional analysis, analytics, data management, visualization and business process management
The opportunity of the business data lakeCapgemini
The Pivotal Business Data Lake is a new way to deliver information for the enterprise based around four simple principles:
- Store everything
- Encourage local
- Govern only the common
- Treat global as a local view
Principles that match the way business works today and now principles that can be delivered efficiently in technology using the Pivotal Business Data Lake and Capgemini's information governance and delivery methods.
This session covers a brief introduction about Fusion Applications and the session progresses into the discussion of some of the highlights of the Fusion MDM for Customer application.
Site/Location Hub is an MDM solution for mastering site/location data in an enterprise to facilitate the management of enterprise wide (single) view of locations and associated information with key MDM features such as Data Quality, Extensibility, etc., built in.
Enterprises are faced by information overload. Big data appears as an opportunity, but has no relevance until enterprises can put it in context of their activities, processes, and organizations, Applying MDM principles to Big Data is therefore an opportunity that enterprises should target.
This presentation covers the following topics :
- what is MDM and Information Management
- what is Big Data and what are the use cases
- why and how Big Data can take advantage of MDM ? why and how MDM can take advantage of Big Data ?
SAP Data Services is a data integration and transformation software application. It also supports changed-data capture (CDC), which is an important capability for providing input data to both data-warehousing and stream-processing systems.
It is an ETL tool which gives a single enterprises level solution for data integration, Transformation, Data quality, Data profiling and text data processing from the heterogeneous source into a target database or data warehouse.
The Pivotal Business Data Lake provides a flexible blueprint to meet your business's future information and analytics needs while avoiding the pitfalls of typical EDW implementations. Pivotal’s products will help you overcome challenges like reconciling corporate and local needs, providing real-time access to all types of data, integrating data from multiple sources and in multiple formats, and supporting ad hoc analysis.
THE FUTURE OF DATA: PROVISIONING ANALYTICS-READY DATA AT SPEEDwebwinkelvakdag
Data lakes & data warehouses, whether on-premises or in the cloud promise to provide a centralized, cost-effective and scalable foundation for modern analytics. However, organisations continue to struggle to deliver accurate, current and analytics-ready data sets in a timely fashion. Traditional ingestion tools weren’t designed to handle hundreds or even thousands of data sources and the lack of lineage forces data consumers to manually aggregate information from sources they trust. In this session, you’ll learn how to future-proof your modern data environment to meet the needs of the business for the long term. We'll examine how to overcome common challenges, the related must-have technology solutions in the data lake/ data warehousing world, using real-world success stories and even a few architecture tips from industry experts.
Data-Ed Online Presents: Data Warehouse StrategiesDATAVERSITY
Integrating data across systems has been a perpetual challenge. Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics. Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3rd are considered successes when measured against price, schedule, or functionality objectives. The first step is determining the appropriate analysis approach to the data system integration challenge. The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered. This webinar will illustrate that good systems development more often depends on at least three data management disciplines in order to provide a solid foundation.
Takeaways:
Data system integration challenge analysis
Understanding of a range of data system-integration technologies including
Problem space (BI, Analytics, Big Data), Data (Warehousing, Vault, Cube) and alternative approaches (Virtualization, Linked Data, Portals, Meta-models)
Understanding foundational data warehousing & BI concepts based on the Data Management Body of Knowledge (DMBOK)
How to utilize data warehousing & BI in support of business strategy
Hadoop World 2011: Big Data Architecture: Integrating Hadoop with Other Enter...Cloudera, Inc.
Recent research has pointed out the complementary nature of Hadoop and other data management solutions and the importance of leveraging existing systems, SQL, engineering, and operational skills, as well as incorporating novel uses of MapReduce to improve analytic processing. Come to this session to learn how companies optimize the use of Hadoop with other enterprise systems to improve overall analytical throughput and build new data-driven products. This session covers: ways to achieve high-performance integration between Hadoop and relational-based systems; Hadoop+NoSQL vs Hadoop+SQL architectures; high-speed, massively parallel data transfer to analytical platforms that can aggregate web log data with granular fact data; and strategies for freeing up capacity for more explorative, iterative analytics and ad hoc queries.
White Paper - Data Warehouse GovernanceDavid Walker
An organisation that is embarking on a data warehousing project is undertaking a long-term development and maintenance programme of a computer system. This system will be critical to the organisation and cost a significant amount of money, therefore control of the system is vital. Governance defines the model the organisation will use to ensure optimal use and re- use of the data warehouse and enforcement of corporate policies (e.g. business design, technical design and application security) and ultimately derive value for money.
This paper has identified five sources of change to the system and the aspects of the system that these sources of change will influence in order to assist the organisation to develop standards and structures to support the development and maintenance of the solution. These standards and structures must then evolve, as the programme develops to meet its changing needs.
“Documentation is not understanding, process is not discipline, formality is not skill”1
The best governance must only be an aid to the development and not an end in itself. Data Warehouses are successful because of good understanding, discipline and the skill of those involved. On the other hand systems built to a template without understanding, discipline and skill will inevitably deliver a system that fails to meet the users’ needs and sooner rather than later will be left on the shelf, or maintained at a very high cost but with little real use.
The winners among vendors will have exceptional capability in implementation of large projects pulling together capabilities in reporting and querying, multidimensional analysis, analytics, data management, visualization and business process management
The opportunity of the business data lakeCapgemini
The Pivotal Business Data Lake is a new way to deliver information for the enterprise based around four simple principles:
- Store everything
- Encourage local
- Govern only the common
- Treat global as a local view
Principles that match the way business works today and now principles that can be delivered efficiently in technology using the Pivotal Business Data Lake and Capgemini's information governance and delivery methods.
This session covers a brief introduction about Fusion Applications and the session progresses into the discussion of some of the highlights of the Fusion MDM for Customer application.
Site/Location Hub is an MDM solution for mastering site/location data in an enterprise to facilitate the management of enterprise wide (single) view of locations and associated information with key MDM features such as Data Quality, Extensibility, etc., built in.
Enterprises are faced by information overload. Big data appears as an opportunity, but has no relevance until enterprises can put it in context of their activities, processes, and organizations, Applying MDM principles to Big Data is therefore an opportunity that enterprises should target.
This presentation covers the following topics :
- what is MDM and Information Management
- what is Big Data and what are the use cases
- why and how Big Data can take advantage of MDM ? why and how MDM can take advantage of Big Data ?
SAP Data Services is a data integration and transformation software application. It also supports changed-data capture (CDC), which is an important capability for providing input data to both data-warehousing and stream-processing systems.
It is an ETL tool which gives a single enterprises level solution for data integration, Transformation, Data quality, Data profiling and text data processing from the heterogeneous source into a target database or data warehouse.
The Pivotal Business Data Lake provides a flexible blueprint to meet your business's future information and analytics needs while avoiding the pitfalls of typical EDW implementations. Pivotal’s products will help you overcome challenges like reconciling corporate and local needs, providing real-time access to all types of data, integrating data from multiple sources and in multiple formats, and supporting ad hoc analysis.
THE FUTURE OF DATA: PROVISIONING ANALYTICS-READY DATA AT SPEEDwebwinkelvakdag
Data lakes & data warehouses, whether on-premises or in the cloud promise to provide a centralized, cost-effective and scalable foundation for modern analytics. However, organisations continue to struggle to deliver accurate, current and analytics-ready data sets in a timely fashion. Traditional ingestion tools weren’t designed to handle hundreds or even thousands of data sources and the lack of lineage forces data consumers to manually aggregate information from sources they trust. In this session, you’ll learn how to future-proof your modern data environment to meet the needs of the business for the long term. We'll examine how to overcome common challenges, the related must-have technology solutions in the data lake/ data warehousing world, using real-world success stories and even a few architecture tips from industry experts.
Teradata - Presentation at Hortonworks Booth - Strata 2014Hortonworks
Hortonworks and Teradata have partnered to provide a clear path to Big Analytics via stable and reliable Hadoop for the enterprise. The Teradata® Portfolio for Hadoop is a flexible offering of products and services for customers to integrate Hadoop into their data architecture while taking advantage of the world-class service and support Teradata provides.
Introduction to Teradata And How Teradata WorksBigClasses Com
Watch How Teradata works with Introduction to teradata ,How Teradata Visual Explain Works,teradata database and tools,teradata database model,teradata hardware and software architecture,teradata database security,teradata storage based on primary index
ERP consulting vendor Solution provider Global Leading Company Oracle SAP Ope...aaditya
Aaditya Technologies erp consulting company providing services for erp to optimize your business processes, a trusted IT partner for you.Globally acceptable solutions.
thinkASG delivers business transformation solutions for world class brands. We help companies evaluate, design, build and maintain highly reliable and scalable enterprise IT platforms to meet business requirements and to foster agility and innovation.
With the success of the Training Tracker application developed by DATA Inc for a global healthcare leader, the client wanted to expand it to serve the entire organization. Find out how DATA Inc. worked with global stakeholders to deploy this solution organization wide to help streamline reporting of training activities.
We are an upcoming results driven specialist IT Organisation with extensive sector knowledge and experience in Staffing, Recruitment and Project Solutions. We have a team of professionals with vast years of experience in Recruitment / Staffing and Project Solutions across various verticals.
We understand the real need of our clients and provide/ execute solutions that provide value proposition to our clients in Terms of Commitment / Cost / Quality / Time / Risk. We provide Innovative but Real Time Solutions to the Clients mixed up with our Technological Expertise & Industry Knowledge which ensures a Win-Win Situation for our Clients.
With a highly qualified /skilled management and leadership team, we provide innovative and effective Solutioning to meet our client’s needs. We cherish building our business through Human Values, Ethics, and Commitment and on time deliverables. The Core of our Business Practise is based on our Moto “We Value Relationships” & as such our Work Ethics & Practises are based on Relationships & not on a Give & Take Policy.
We Value our Relationships with all & work with everyone based on the same principles. We value the Relationships of our Clients / Vendors / Employees / Job Seekers & hence our main area of focus is Our Commitment of On Time Delivery. We ensure On Time & Effective Delivery so as to provide the Best Solutions & Services in the Industry.
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Humans are sentient. We perceive. We feel. We listen. The problem is the more you put together, the more we lose these capabilities. We get slower. The idea is, how we create a company that acts like a single organism, where we identify opportunities, and that allows us to work in a faster and exponential world world where development happens in months rather than years. Don't let digital transformation become a war of competitive attrition. You may need to invest in your future to change the game.
Teradata Listener™: Radically Simplify Big Data StreamingTeradata
Teradata Listener™ is an intelligent, self-service solution for ingesting and distributing extremely fast moving data streams throughout the analytical ecosystem. Listener
is designed to be the primary ingestion framework for organizations with multiple data streams. Listener reliably delivers data without loss and provides low-latency ingestion for near real-time applications.
Telematics data provides a wealth of new, actionable insights, particularly when integrated with other enterprise data. But where do you start? How do you prioritize? What is the roadmap? In an interactive workshop learn how to derive more from data so you can do more in your business.
- Find the value of integrating telematics data with traditional data elements, including financial, customer, manufacturing, location and weather data
- How integrated telematics data can improve customer satisfaction, lifecycle management, warranty reserves, supply chain performance, and even engineering & design choices
- Gain practical examples from top manufacturers to improve operational efficiencies, develop new revenue streams, create customer insights, and better understand product performance
The Tools You Need to Build Relationships and Drive Revenue Checklist Teradata
This Campaign Manager Leadership series paper provides a checklist for marketers when considering blending offline data with online data to improve the customer experience.
Right Message, Right Time: The Secrets to Scaling Email Success Teradata
This Campaign Manager Leadership Series ebook outlines the 4 keys to an automated email marketing strategy and how marketers can scale to meet these “always-on” customer expectations.
BSI Teradata: The Shocking Case of Home Electronics PlanetTeradata
Home Electronics Planet, a big-box retailer, has digital marketing campaigns that are failing. Their Chief Marketing Officer gets some analytics and data science help from Business Scenario Investigators who recommend changing their search keywords mix, creating tighter customer segments based on product purchase sequencing coupled with real-time web page personalizations, and revising their e-mail marketing to improve business results.
How we did it: BSI: Teradata Case of the Tainted LasagnaTeradata
Great Brands, a major food producer, faces yet another recall. The government is pointing at Turkey Broccoli Lasagna as the culprit, so the Chief Risk Officer and Chief Supply Chain officer bring in BSI investigators to help them build a better/faster track and trace system, using Big Data analytics.
To see more BSI: Teradata, go to http://www.facebook.com/bsiTeradata
Teradata BSI: Case of the Retail Turnaround Teradata
This set of Powerpoint slides describes the analytics work of Teradata: Business Scenario Investigation employees who help move Taylor & Swift, a big-box retailer, from a silo’d stores vs. web approach to an integrated Omni-Channel Retailing approach to customers, marketing, and sales. The team comes up with 5 ideas, 2 of which are tried out. The story illustrates the use Teradata, Aster, Aprimo, and Tableau as tools to glean faster and deeper analytical insights on Big Data, specifically web walks.
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.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
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
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Today’s Challenges and
Stay at the Forefront of Your organization create sustainable competitive
Tomorrow’s Opportunities. We offer the most knowledgeable and
Industry with Our Unrivaled Services. advantages, grow revenue streams, or
flexible resources available — and adapt to
With more than 6,500 employees and a your specific needs — using only proven improve customer relationships. As with
Teradata offers a unique range of services
presence in over 60 countries, only Teradata and proactive tools and processes. Oracle, SAP,® and SAS, Teradata partners
® ®
from the most highly skilled team of business
offers enterprises the analytical insights with hundreds of market leaders offering
intelligence professionals. Their experience
necessary to make the most agile decisions. Customer Education and Certification expertise in areas such as:
and talents make them experts in their
Teradata uniquely helps you conquer Certified instructors present flexible training
industry and, therefore, they can offer tailored Systems and Application Management
data complexities, transforming disparate options that develop skills to help maximize
solutions to your business: Data Acquisition and Integration Services
information into intelligence across the the value of your Teradata investment.
Professional Consulting Services Application Integration Services
organization. Our focused solutions have
Availability Management Services Analytic and Decision Making Services
been instrumental in shortening close cycles, Using our in-depth industry expertise
Our customer-centric approach to system Horizontal Analytic Applications
improving forecasting, and even reducing risk and knowledge of the BI and analytics
and fraud exposure. That’s why the world’s data warehousing environment, we deliver productivity manages the environment, Industry Analytic Applications
smartest, most successful companies choose sustainable, scalable, and highly infrastructure, and technology to ensure Interaction and Process Services
Teradata to develop their intelligence. productive solutions. maximized system availability. Consultants and Integrators
5. SMARTER. FASTER.
OUR PRODUCTS
MORE FLEXIBLE.
State-of-the-Art Products Meet the Teradata Purpose-Built
Platform Family.
or complexity, analysis requirements, or are pre-configured, so you get a Teradata
Delivering Unmatched Agility. number of concurrent queries, there’s a solution faster, and easier, than ever before.
choice perfectly suited to your business. Or, for even faster access, Teradata offers a
Teradata Database, with its 100% parallel
Imagine the powerful advantage your full range of cloud computing options like
design, gives you unmatched performance, Our enterprise-class platform is
organization would possess if it could move the Teradata Enterprise Analytics Cloud.
scalability, and manageability. It’s simply the the industry’s finest foundation for
with increased speed and a newly attained
best database for analytics — anywhere. Active Enterprise Intelligence.
™
level of enterprise agility. “ eradata’splatformfamilygivescustomersthe
T
Built on the industry’s most robust, high- abilitytomoveseamlesslyfromasmalldecision
Our comprehensive solutions combine a Empower your front line with the tools to
performing database for analytics, the supportsystemtoafull-blownenterprisedata
completely parallel database technology, execute the kind of breakthrough strategies
warehouse.Whethertheneedisdepartmental,
Teradata Purpose-Built Platform Family that can unseat the competition. By showing
superior analytical processes, and the most divisional,orenterprise,Teradatahasasolution.”
satisfies any architectural requirements. you new and better ways to convert
experienced consultants in the field — — laudiaImhoff,President
C
The suite offers solutions from data marts to information into intelligence, and intelligence
to deliver to you an unsurpassed level IntelligentSolutions
enterprise data warehouses — at virtually into action, we can help you create and
of business agility.
any price point. Regardless of data volume deploy consistent business intelligence (BI)
anywhere in your organization. The entire
family runs on Intel® Xeon® processors and
is powered by the award-winning Teradata
Database, featuring the only fully integrated
Geospatial solution. All Teradata warehouses
83%
of the Top Global Transportation
and Logistics Companies Turn
to Teradata.
6. PROVEN
OUR CUSTOMERS
Corporations across every major industry have made Teradata
their choice for data warehousing and enterprise analytics.
Ace Hardware Corporation | Air Canada | Air France | Amazon | Anschutz Entertainment
Group (AEG) | Aomori Bank | Apple | Argencard S.A. | Arrow Electronics | ATA Airlines |
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Big Lots | BKK Insurance Companies | British Airways | Burlington Northern Santa Fe
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CAPMAS | Chi Mei Optoelectronics | China Min Sheng Bank | China Mobile | China Post |
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CoronaDirect N.V. | Czech Post | Delta Air Lines, Inc. | DHL Dixons Stores Group | DnB
NOR | DSW – Brand Technology Services | eBay, Inc. | EchoStar Corporation | Eircom |
Entel Chile S.A. | Ford Motor Company | Fujifilm Corporation | Gap, Inc. | GE Capital
Services | GE Rail Services | Groupe Casino | Haggen, Inc. | Harrah’s Entertainment, Inc. |
Hallmark Cards, Inc. | Harvard Pilgrim Health Care | Highmark, Inc. | Hudson’s Bay
Company | Hyatt Hotels | ICICI Bank | Juroku Bank | Kaiser Permanente | LAN Airlines
S.A. | La Quinta Inns, Inc. | LexisNexis | Libertad S.A. | London Stock Exchange |
Lund Food Holdings | Matsuya Medco Health Solutions, Inc. | Meredith Corporation |
METRO Group | Migros Türk T.A.S. | Mobilink | Mohegan Tribal Gaming Authority |
Move, Inc. | Movistar | NADRA Nationwide Naval Air Systems Command | Navy Federal
Credit Union | NCR Corporation | Overstock.com | Paramount Pictures | PayPal | Ping |
Polkomtel S.A. | Poste Italiane | RealNetworks, Inc. | Regions Financial Corporation |
Reuters Ltd. | Riaz Bottlers | Royal Bank Financial Group | Russian Standard Bank |
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Shanghai Stock Exchange | Silverton Casino | SNS Bank Nederland N.V. | State of
Missouri | State of Texas | SUNDAY Communications Limited | SUPERVALU | Taisho
Pharmaceutical | Taiwan Semiconductor Manufacturing Company, Ltd. | Telecom Egypt |
Telstra Corporation Limited | Tesco Stores Ltd. | The Goodyear Tire Rubber Company |
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TOTO Ltd. | Travelocity | Trump Entertainment | Ukrop’s Super Markets, Inc. | Union
Pacific Railroad | Unum Group | Verizon Communications | Vodafone | Wataniya Telecom |
WESCO International, Inc. | Westpac Banking Corporation Westpac | St. George Bank |
Wind Telecomunicazioni SpA