The document describes a Mapping Manager software product. It provides key benefits like accelerating data integration projects, reducing costs, and reusing resources. The software allows users to import existing mappings, define transformations, perform impact analysis, and manage mapping versions. It also manages system metadata, mapping specifications, projects, and resources to streamline collaboration across teams.
An Integrated Framework for Parameter-based Optimization of Scientific Workflowsvijayskumar
Β
Data analysis processes in scientific applications can be expressed as coarse-grain workflows of complex data processing operations with data flow dependencies between them. Performance optimization of these workflows can be viewed as a search for a set of optimal values in a multi-dimensional parameter space. While some performance parameters such as grouping of workflow components and their mapping to machines do not affect the accuracy of the output, others may dictate trading the output quality of individual components (and of the whole workflow) for performance. This paper describes an integrated framework which is capable of supporting performance optimizations along multiple dimensions of the parameter space. Using two real-world applications in the spatial data analysis domain, we present an experimental evaluation of the proposed framework.
An Integrated Framework for Parameter-based Optimization of Scientific Workflowsvijayskumar
Β
Data analysis processes in scientific applications can be expressed as coarse-grain workflows of complex data processing operations with data flow dependencies between them. Performance optimization of these workflows can be viewed as a search for a set of optimal values in a multi-dimensional parameter space. While some performance parameters such as grouping of workflow components and their mapping to machines do not affect the accuracy of the output, others may dictate trading the output quality of individual components (and of the whole workflow) for performance. This paper describes an integrated framework which is capable of supporting performance optimizations along multiple dimensions of the parameter space. Using two real-world applications in the spatial data analysis domain, we present an experimental evaluation of the proposed framework.
Enabling Real-Time Business with Change Data CaptureMapR Technologies
Β
Machine learning (ML) and artificial intelligence (AI) enable intelligent processes that can autonomously make decisions in real-time. The real challenge for effective ML and AI is getting all relevant data to a converged data platform in real-time, where it can be processed using modern technologies and integrated into any downstream systems.
This presentation discusses SQL Server 2008 Migration tools, planning and execution. You will learn about the SQL Server Featuer Pack, the SQL Server Migration Assistant, and Performance Benchmarks of SQL Server 2005 vs. 2008.
DesignMind is located in Emeryville, California.
www.designmind.com
Slides: Enterprise Architecture vs. Data ArchitectureDATAVERSITY
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Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, itβs possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
Scaling AI in production using PyTorchgeetachauhan
Β
Slides from my talk at MLOps World' 21
Deploying AI models in production and scaling the ML services is still a big challenge. In this talk we will cover details of how to deploy your AI models, best practices for the deployment scenarios, and techniques for performance optimization and scaling the ML services. Come join us to learn how you can jumpstart the journey of taking your PyTorch models from Research to production.
Simplified, Robust and Speedy Novell Identity Manager Implementation with Des...Novell
Β
Novell Identity Manager tools for implementation and administration have always been the product's key differentiating factor. Recent changes have made Identity Manager implementations even more easy and efficient. Whether you are new to Identity Manager or are an existing user, attend this session to learn more about Designer, Analyzer and iManager.
For Designer, you will hear about Identity Manager staging, role-based entitlements, and key performance improvements such as working over VPN and an optimized import/deployment of your identity management project. The presenters will also offer insight into how well Designer supports the latest versions of Identity Manager and Novell Identity Manager Roles Based Provisioning Module with the new Rich Client Platform (RCP) Designer and the support it offers to Novell Compliance Management Platform. Finally, you'll hear about the Designer roadmap for the Identity Manager product line.
You will also hear about the data cleansing and massaging capabilities in Analyzer. For iManager, you will see new features such as war file deployment.
Predictive Maintenance Using Recurrent Neural NetworksJustin Brandenburg
Β
My presentation from AnacondaCON 2018 where I discussed using Recurrent Neural Networks, Python, Tensorflow and the MapR Platform to develop deploy a predictive maintenance model for an IoT device in the manufacturing industry.
I translate Framework Design Guideline to Korean.
This Book is very impressed to me.
So I want to share Krzysztof Cwalina's Knowledge.
I re-edit his presentation and add my opinion.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
Β
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 βmechanicalβ 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!
Enabling Real-Time Business with Change Data CaptureMapR Technologies
Β
Machine learning (ML) and artificial intelligence (AI) enable intelligent processes that can autonomously make decisions in real-time. The real challenge for effective ML and AI is getting all relevant data to a converged data platform in real-time, where it can be processed using modern technologies and integrated into any downstream systems.
This presentation discusses SQL Server 2008 Migration tools, planning and execution. You will learn about the SQL Server Featuer Pack, the SQL Server Migration Assistant, and Performance Benchmarks of SQL Server 2005 vs. 2008.
DesignMind is located in Emeryville, California.
www.designmind.com
Slides: Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Β
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, itβs possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
Scaling AI in production using PyTorchgeetachauhan
Β
Slides from my talk at MLOps World' 21
Deploying AI models in production and scaling the ML services is still a big challenge. In this talk we will cover details of how to deploy your AI models, best practices for the deployment scenarios, and techniques for performance optimization and scaling the ML services. Come join us to learn how you can jumpstart the journey of taking your PyTorch models from Research to production.
Simplified, Robust and Speedy Novell Identity Manager Implementation with Des...Novell
Β
Novell Identity Manager tools for implementation and administration have always been the product's key differentiating factor. Recent changes have made Identity Manager implementations even more easy and efficient. Whether you are new to Identity Manager or are an existing user, attend this session to learn more about Designer, Analyzer and iManager.
For Designer, you will hear about Identity Manager staging, role-based entitlements, and key performance improvements such as working over VPN and an optimized import/deployment of your identity management project. The presenters will also offer insight into how well Designer supports the latest versions of Identity Manager and Novell Identity Manager Roles Based Provisioning Module with the new Rich Client Platform (RCP) Designer and the support it offers to Novell Compliance Management Platform. Finally, you'll hear about the Designer roadmap for the Identity Manager product line.
You will also hear about the data cleansing and massaging capabilities in Analyzer. For iManager, you will see new features such as war file deployment.
Predictive Maintenance Using Recurrent Neural NetworksJustin Brandenburg
Β
My presentation from AnacondaCON 2018 where I discussed using Recurrent Neural Networks, Python, Tensorflow and the MapR Platform to develop deploy a predictive maintenance model for an IoT device in the manufacturing industry.
I translate Framework Design Guideline to Korean.
This Book is very impressed to me.
So I want to share Krzysztof Cwalina's Knowledge.
I re-edit his presentation and add my opinion.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
Β
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 βmechanicalβ 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!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
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Are you looking to streamline your workflows and boost your projectsβ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, youβre 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 βEssentials of Automationβ 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.
Hereβs what youβll 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.
Weβll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Donβt miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
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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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Β
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 Overviewβ
-------------------------------------------
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
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Β
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
Β
As AI technology is pushing into IT I was wondering myself, as an βinfrastructure container kubernetes guyβ, 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 benefitβs 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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
Β
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
Β
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:
β’ The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
β’ Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
β’ Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
β’ 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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Β
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.
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Β
Mapping Manager Datasheetv
1. A N A L Y T I X
D A T A S H E E T
M a p p i n g M a n a g e r
B E N E F I T S K E Y F E A T U R E S
M A P P I N G M A N A G E R
β Accelerate data integration β Import existing mapping β Bi-directional naviga-
specifications tion of upstream and
β Reduce time and resource β Support one to many rela- downstream systems
tionships β Select update strate-
β Accelerate project delivery β Store/Share mapping docu- gies
mentation at the mapping β Preview data directly
β Reuse and leverage enter-
level from operational sys-
prise resources
β Define encryption require- tems
β Deliver instant business ments for sensitive data β Define test plans and
value (SOX, PHI etc) track test results
β Enforce mapping standard β Associate source ex-
β Global visibility into enter- with customizable mapping tract SQL to data
prise projects templates mappings.
β Define, share, and reuse β Auto-generate ETL
β Manage and reduce project transformations jobs from industry First metadata based en-
risk
β Perform impact analysis leading ETL tool pro- terprise source to target
β Anticipate and manage across the enterprise at viders mapping product serving
business drivers/ multiple levels: Source and β Easy drag and drop
Target Table, Column and user interface to cre- entire integration industry
requirements
Transformations ate data mapping
β Identify and manage re- specifications
lease changes
β Improve data quality confi-
dence K E Y F E A T U R E S
M A P P I N G M A N A G E R
β User friendly excel grid like
capabilities
AUDIT TRACKING
β Track changes at the individ-
ual mapping specification
level.
β Version control mapping
specifications at the project
level.
β Track changes between ver-
sions and refer back to any
previous or current version.
D E L I V E R I N G E X C E L L E N C E I N M A P P I N G S T A N D A R D S
By Analytix Data Services
Tel: 703.539.2955 | Email: sales@analytixds.com
Page 1 Version 2.3_121508
2. A N A L Y T I X
D A T A S H E E T
M a p p i n g M a n a g e r
B E N E F I T S K E Y F E A T U R E S
M A P P I N G M A N A G E R
β Leverage and enforce in-
dustry best practices and β Automatically upload and share source and target meta-
standards for creating map- data and documentation
ping specifications across
the enterprise for all data β Dynamically create, and modify source to target mapping
integration projects. specification via drag and drop capabilities from the meta-
data explorer
β Provides data lineage
analysis across enterprise
systems and performs β Create user defined, shared and reusable transformations
cross dependency impact to drive mapping standards, version and approve mapping
analysis specifications.
β Increase productivity and β Ability to browse profiled metadata via the metadata
improved organizational browser and dynamically create sophisticated source to
autonomy via a shared and target mapping specification via drag and drop capabilities
collaborative integration from the metadata browser to the mapping manager data
environment
grid.
Accelerate Delivery and
β Share documentation Improve Quality β Customize and print mapping specification in multiple for-
across enterprise projects mats, Excel, PDF or predefined Internal Mapping Specifica-
tion format using industry best practices and standards.
β Real time status tracking
β Ability to track mapping specification status and progress at
β Streamline communication the project and mapping specification level
and collaboration
β Eliminate duplicate efforts K E Y F E A T U R E S
from silo project teams and
loss of knowledge capital S Y S T E M M A N A G A E R
due to attrition.
β Define, manage and share system β Automatically load, refresh, leverage and
information and connectivity specifica- share metadata (technical and business)
tions for multiple environments via metadata loaders directly from Erwin
(development, test and production) files, csv and from database management
system db catalogs importers.
β Define manage and share system
documentation with multiple users β Seamlessly manage metadata and profil-
(Data Dictionaries, User Guides etc). ing of source and target systems.
D E L I V E R I N G E X C E L L E N C E I N M A P P I N G S T A N D A R D S
By Analytix Data Services
Tel: 703.539.2955 | Email: sales@analytixds.com
Page 2 Version 2.3_121508
3. A N A L Y T I X
D A T A S H E E T
M a p p i n g M a n a g e r
B E N E F I T S K E Y F E A T U R E S
S Y S T E M M A N A G E R
β Compliance reporting: SDM,
SOX and PHI for sensitive β Share profiled data and metadata across all projects via metadata browser.
data.
β Collaborate and share system specification, profile and documentation across projects
β Standardize, implement and β all information is stored in a central repository and is made available to all integration
share business taxonomy project users.
throughout the enterprise by
managing reference taxono-
mies and ontology that are β Accelerates access to source systems connectivity specifications, documentation and
shareable throughout the metadata.
enterprise, enabling organi-
zations to leverage refer- β Eliminates duplicate efforts from silo project teams and loss of knowledge capital due
ence taxonomies for col- to attrition.
laboration, governance, and
knowledge-based decision
making.
β Easily print, share and collaborate on system analysis reports.
β Single entry point to man-
age and share system de-
velopment lifecycle method-
ology process and docu-
mentation.
K E Y F E A T U R E S
β Open systems architecture
and central repository en- P R O J E C T / R E S O U R C E M A N A G E R
ables integration with third
party software products.
β Streamlines and Facilitates
β Add users to the system
change and release man-
agement processes β Create integration project
β Provides data lineage analy- β Allocate users to projects and main-
sis across enterprise sys- tain contact information
tems and performs cross
dependency impact analysis
β Define security roles.
β Print project status report
β Easily load, manage and audit project
and SDM compliance documentation
First ever SI industry product to bring
β Collaborate and share all project data governance best practices, stan-
documentation dardization, versioning, traceability,
and impact analysis to data mapping
and data management.
D E L I V E R I N G E X C E L L E N C E I N M A P P I N G S T A N D A R D S
By Analytix Data Services
Tel: 703.539.2955 | Email: sales@analytixds.com
Page 3 Version 2.3_121508
4. A N A L Y T I X D A T A S H E E T
M a p p i n g M a n a g e r
F E A T U R E S M A T R I X
# FEATURES MAPPING MANAGER
1 Manage and Reuse System Metadata β
2 Import Existing Excel Mapping Specifications β
3 Import/Export Mapping Specifications β
4 Store and share project documenation β
5 Store and share system documenation β
6 Store and Collaborate testing dispositions at the version level β
7 Manage Project Resources and Users β
8 Store and manage mapping Specification versions β
9 Perform impact analysis of Tables, Columns and Transformations β
10 View data lineage across the enterprise β
11 Print, share and collaborate on Mapping Specifications β
12 Automates Creation of ETL Jobs for Informatica β
13 Automates import of Informatica ETL jobs as mapping specifications β
14 Automates Creation of ETL Jobs for Datastage β
15 Automates import of Datastage ETL jobs as mapping specifications β
16 Seamless install β
17 No prerequisite ETL Tool Version requirement β
18 Central Repository for integration project documentation β
19 Import System Metadata β
20 Preview Data Capabilities from Metadata Browser β
21 View technical and business definitions from metadata browser β
22 Role Based Security β
23 Reuse and share commonly used transformation logic β
24 View Mapping Spec resource assignments & statuses β
25 Track the status of mapping specifications β
26 Advanced Versioning: at the project level and mapping spec level β
27 Drag and Dop user interface β
28 Supports many to many relationships β
29 Advanced mapping specification comparison capabilities β
30 Manage Enterprise Transformations at a governance level β
31 View change and version history β
32 Print Reports: Mapping Spec, Project Report & System Analysis Report β
33 Integration with Erwin β
34 Supports Excel upload capabilities to store system metadata β
35 Built in Metadata scanners for all major database vendors β
36 Define, maintain and upload data dictionary for systems. β
37 Advanced search and filtering capabilities β
38 Customizable integrated data grid β
39 Advanced search and filtering capabilities β
D E L I V E R I N G E X C E L L E N C E I N M A P P I N G S T A N D A R D S
By Analytix Data Services
Tel: 703.539.2955 | Email: sales@analytixds.com
Page 4 Version 2.3_121508