Overcoming the Challenges of Safety & Security in the Renovo Automotive Data Platform
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Parasoft Dottest REDUCE the RISK of .NET DEVELOPMENT
Parasoft dotTEST REDUCE THE RISK OF .NET DEVELOPMENT TRY IT https://software.parasoft.com/dottest Complement your existing Visual Studio tools with deep static INCREASE analysis and advanced PROGRAMMING EFFICIENCY: coverage. An automated, non-invasive solution that the related code, and distributed to his or her scans the application codebase to iden- IDE with direct links to the problematic code • Identify runtime bugs without tify issues before they become produc- and a description of how to fix it. executing your software tion problems, Parasoft dotTEST inte- grates into the Parasoft portfolio, helping When you send the results of dotTEST’s stat- • Automate unit and component you achieve compliance in safety-critical ic analysis, coverage, and test traceability testing for instant verification and industries. into Parasoft’s reporting and analytics plat- regression testing form (DTP), they integrate with results from Parasoft dotTEST automates a broad Parasoft Jtest and Parasoft C/C++test, allow- • Automate code analysis for range of software quality practices, in- ing you to test your entire codebase and mit- compliance cluding static code analysis, unit testing, igate risks. code review, and coverage analysis, en- abling organizations to reduce risks and boost efficiency. Tests can be run directly from Visual Stu- dio or as part of an automated process. To promote rapid remediation, each problem detected is prioritized based on configur- able severity assignments, automatical- ly assigned to the developer who wrote It snaps right into Visual Studio as though it were part of the product and it greatly reduces errors by enforcing all your favorite rules. We have stuck to the MS Guidelines and we had to do almost no work at all to have dotTEST automate our code analysis and generate the grunt work part of the unit tests so that we could focus our attention on real test-driven development. -
The Data Management Platform: Foundation for Right-Time Customer Engagement
The Data Management Platform: Foundation for Right-Time Customer Engagement A WINTERBERRY GROUP WHITE PAPER NOVEMBER 2012 WITH THE IN PARTNERSHIP WITH SUPPORT OF ACKNOWLEDGEMENTS This white paper would not have been possible without the significant contributions of nearly 200 executive-level thought leaders—including sponsors, contributors, panelists and reviewers representing all segments of the advertising, marketing, media and technology industries. In particular, Winterberry Group is grateful to our research partner, the Interactive Advertising Bureau, as well as the following sponsors for their generous support of this research initiative: Premier Sponsors: Supporting Sponsors: Additionally, we extend our deepest appreciation to the 163 marketers, publishers, technology developers and solution providers who contributed their time, insights and enthusiasm in support of our research. Though their individual names are not mentioned in this paper, they represent some of the most respected companies in the data-driven marketing and media world—including Allstate, Conde Nast, Discover Financial Services, IDG TechNetwork, LiveRamp, NBCUniversal, Razorfish, Sojern, Thomson Reuters, Turner Broadcasting System Inc., WPP Digital, Xaxis, Ziff Davis and many others. We are grateful for their contributions. NOTICE This report contains brief, selected information and analysis pertaining to the advertising, marketing, media and technology industries and has been prepared by Winterberry Group LLC in partnership with the Interactive Advertising Bureau. -
GDPR and the DMP
DMP: Fact Sheet and DPIA This document provides more information about the privacy and security of the Salesforce DMP which can help our customers to assess our security and privacy program, including by completing privacy impact assessments. It does not provide legal advice. We urge you to consult with your own legal counsel to familiarize yourself with the requirements that govern your specific situation. More information about privacy impact assessments can be found here. GDPR and the DMP At Salesforce, trust is our #1 value, and nothing is more important than the success of our customers and the protection of their data. Salesforce enables our customers to build trusted relationships, putting their customers at the center of everything they do, including protecting individual privacy through GDPR compliance. The General Data Protection Regulation (“GDPR”) is a European privacy law effective on May 25, 2018. The GDPR expands the privacy rights of EU individuals and places new obligations on all organizations that market, track, or handle EU personal data. For more information about the GDPR, please refer to our Salesforce GDPR website, specifically our GDPR Key Facts paper, which defines a number of the terms used in this document. Salesforce welcomes this law as an important step forward in streamlining data protection requirements across the European Union and as an opportunity for Salesforce to deepen our commitment to data protection. Similar to existing privacy laws, compliance with the GDPR requires a partnership between Salesforce and our customers in their use of our services. We’re committed to complying with the GDPR in providing services to our customers as a processor. -
Gartner Magic Quadrant for Data Management Solutions for Analytics
16/09/2019 Gartner Reprint Licensed for Distribution Magic Quadrant for Data Management Solutions for Analytics Published 21 January 2019 - ID G00353775 - 74 min read By Analysts Adam Ronthal, Roxane Edjlali, Rick Greenwald Disruption slows as cloud and nonrelational technology take their place beside traditional approaches, the leaders extend their lead, and distributed data approaches solidify their place as a best practice for DMSA. We help data and analytics leaders evaluate DMSAs in an increasingly split market. Market Definition/Description Gartner defines a data management solution for analytics (DMSA) as a complete software system that supports and manages data in one or many file management systems, most commonly a database or multiple databases. These management systems include specific optimization strategies designed for supporting analytical processing — including, but not limited to, relational processing, nonrelational processing (such as graph processing), and machine learning or programming languages such as Python or R. Data is not necessarily stored in a relational structure, and can use multiple data models — relational, XML, JavaScript Object Notation (JSON), key-value, graph, geospatial and others. Our definition also states that: ■ A DMSA is a system for storing, accessing, processing and delivering data intended for one or more of the four primary use cases Gartner identifies that support analytics (see Note 1). ■ A DMSA is not a specific class or type of technology; it is a use case. ■ A DMSA may consist of many different technologies in combination. However, any offering or combination of offerings must, at its core, exhibit the capability of providing access to the data under management by open-access tools. -
Accelerate Software Innovation Through Continuous Quality
Accelerate Software Innovation Through Continuous Quality 1 Software quality is recognized as the #1 issue IT executives are trying to mitigate. Enterprise organizations strive to accelerate the delivery of a compelling user experience to their customers in order to drive revenue. Software quality is recognized as the #1 issue IT executives are trying to mitigate. QA teams know they have issues and are actively looking for solutions to save time, increase quality, improve security, and more. The most notable difficulties are in identifying the right areas to test, the availability of flexible and reliable test environments and test data, and the realization of benefits from automation. You may be facing many challenges with delivering software to meet the high expectations for quality, cost, and schedule driven by the business. An effective software testing strategy can address these issues. If you’re looking to improve your software quality while achieving your business goals, Parasoft can help. With over 30 years of making testing easier for our customers, we have the innovation you need and the experience you trust. Our extensive continuous quality suite spans every testing need and enables you to reach new heights. 3 QUALITY-FIRST APPROACH You can’t test quality into an application at the end of the software development life cycle (SDLC). You need to ensure that your software development process and practices put a priority on quality- driven development and integrate a comprehensive testing strategy to verify that the application’s functionality meets the requirements. Shift testing left to the start of your development process to bring quality to the forefront. -
Dataflux Data Management Studio Installation and Configuration Guide This Page Is Intentionally Blank
DataFlux Data Management Studio Installation and Configuration Guide This page is intentionally blank DataFlux Data Management Studio Installation and Configuration Guide Version 2.2 November 17, 2011 This page is intentionally blank Contact DataFlux DataFlux Corporate Headquarters DataFlux West Toll Free: (877) 846-3589 Tel: (818) 906-7638 Tel: (919) 447-3000 Fax: (818) 907-6012 Fax: (919) 447-3100 940 NW Cary Parkway, Suite 201 15300 Ventura Boulevard, Suite 523 Cary, NC 27513 Sherman Oaks, CA 91403 USA USA DataFlux United Kingdom DataFlux France Tel: +44 (0) 20 3176 0025 Tel: +33 (0) 4 72 91 31 42 Fax: +44 (0) 20 3411 8382 Enterprise House Immeuble Danica B 1-2 Hatfields 21, avenue Georges Pompidou London 69003 Lyon SE1 9PG France United Kingdom DataFlux Germany DataFlux Australia Tel: +49 (0) 69 66 55 42 04 Tel: +61 2 9428 0553 In der Neckarhelle 162 300 Burns Bay Road 69118 Heidelberg Lane Cove, NSW 2066 Germany Australia Technical Support Phone: 1-919-531-9000 Email: [email protected] Web: http://dataflux.com/MyDataFlux-Portal.aspx Documentation Support Email: [email protected] DataFlux Data Management Studio Installation and Configuration Guide i Legal Information Copyright © 1997 - 2011 DataFlux Corporation LLC, Cary, NC, USA. All Rights Reserved. DataFlux and all other DataFlux Corporation LLC product or service names are registered trademarks or trademarks of, or licensed to, DataFlux Corporation LLC in the USA and other countries. ® indicates USA registration. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. -
The Essential Guide to Modern Data Management Protect, Consolidate, and Put Your Data to Work in the Multicloud Era the Essential Guide to Modern Data Management
The Essential Guide to Modern Data Management Protect, Consolidate, and Put Your Data to Work in the Multicloud Era The Essential Guide to Modern Data Management Table of Contents Protect, Consolidate, and Put Your Data to Work in the Multicloud Era ............................................... 1 The Roadblocks to Unlocking the Power of Your Data ........................................................................... 3 Fragmented and Siloed Data Infrastructure ..............................................................................................................................4 Operational Inefficiencies ...........................................................................................................................................................5 Dark Data .......................................................................................................................................................................................5 The Unfulfilled Promise of Public Cloud .....................................................................................................................................6 The Lack of Turnkey Data Management Services .....................................................................................................................6 Data Management for the Modern Multicloud Era ................................................................................ 7 Cohesity – A Radical New Approach to Unlocking the Power of Your Data ...........................................................................8 -
Development Testing Platform Engines for .NET User’S Guide Version 10.3
Development Testing Platform Engines for .NET User’s Guide Version 10.3 Parasoft Corporation 101 E. Huntington Drive, 2nd Floor Monrovia, CA 91016 Phone: (888) 305-0041 Fax: (626) 305-9048 E-mail: [email protected] URL: www.parasoft.com PARASOFT END USER LICENSE AGREEMENT PLEASE READ THIS END USER LICENSE AGREEMENT ("AGREEMENT") CAREFULLY BEFORE USING THE SOFTWARE. PARASOFT CORPORATION ("PARASOFT") IS WILLING TO LICENSE THE SOFTWARE TO YOU, AS AN INDIVIDUAL OR COMPANY THAT WILL BE USING THE SOFT- WARE ("YOU" OR "YOUR") ONLY ON THE CONDITION THAT YOU ACCEPT ALL OF THE TERMS OF THIS AGREEMENT. THIS IS A LEGALLY ENFORCEABLE CONTRACT BETWEEN YOU AND PARASOFT. BY CLICKING THE "ACCEPT" OR "YES" BUTTON, OR OTHERWISE INDICATING ASSENT ELECTRONICALLY, OR BY INSTALLING THE SOFTWARE, YOU AGREE TO THE TERMS AND CONDITIONS OF THIS AGREEMENT AND ALSO AGREE THAT IS IT ENFORCEABLE LIKE ANY WRITTEN AND NEGOTIATED AGREEMENT SIGNED BY YOU. IF YOU DO NOT AGREE TO THESE TERMS AND CONDITIONS, CLICK THE "I DO NOT ACCEPT" OR "NO" BUTTON AND MAKE NO FURTHER USE OF THE SOFTWARE. 1. DEFINITIONS 1.1. “Concurrent User" means a person that has accessed the Software at any given point in time, either directly or through an application. 1.2. "Instance" means a single occurrence of initialization or execution of software on one machine. 1.3. "Licensed Capacity" means the capacity-based license pricing metrics identified in the Order Instrument, including, without limitation, Concurrent Users, Node Locked machines, and Instances. 1.4. "Maintenance" means the maintenance and technical support services for the Software iden- tified in the Order Instrument and provided by Parasoft pursuant to this Agreement. -
Dataflux Data Management Server Administrator's Guide This Page Is Intentionally Blank
DataFlux Data Management Server Administrator's Guide This page is intentionally blank DataFlux Data Management Server Administrator’s Guide Version 2.2 October 20, 2011 This page is intentionally blank Contact DataFlux DataFlux Corporate Headquarters DataFlux West Toll Free: (877) 846-3589 Tel: (818) 906-7638 Tel: (919) 447-3000 Fax: (818) 907-6012 Fax: (919) 447-3100 940 NW Cary Parkway, Suite 201 15300 Ventura Boulevard, Suite 523 Cary, NC 27513 Sherman Oaks, CA 91403 USA USA DataFlux United Kingdom DataFlux France Tel: +44 (0) 20 3176 0025 Tel: +33 (0) 4 72 91 31 42 Fax: +44 (0) 20 3411 8382 Enterprise House Immeuble Danica B 1-2 Hatfields 21, avenue Georges Pompidou London 69003 Lyon SE1 9PG France United Kingdom DataFlux Germany DataFlux Australia Tel: +49 (0) 69 66 55 42 04 Tel: +61 2 9428 0553 In der Neckarhelle 162 300 Burns Bay Road 69118 Heidelberg Lane Cove, NSW 2066 Germany Australia Technical Support Phone:919-531-9000 Email: [email protected] Web: http://dataflux.com/MyDataFlux-Portal.aspx Documentation Support Email: [email protected] DataFlux Data Management Server Administrator's Guide i Legal Information Copyright © 1997 - 2011 DataFlux Corporation LLC, Cary, NC, USA. All Rights Reserved. DataFlux and all other DataFlux Corporation LLC product or service names are registered trademarks or trademarks of, or licensed to, DataFlux Corporation LLC in the USA and other countries. ® indicates USA registration. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. -
D3.7 Test Data Management Platform Architecture
Grant Agreement Number: 731993 Project acronym: AUTOPILOT Project full title: AUTOmated driving Progressed by Internet Of Things D-3.7 Test data management platform architecture Due delivery date: 31/05/2018 Actual delivery date: 31/05/2018 Organisation name of lead participant for this deliverable: AKKA Project co-funded by the European Commission within Horizon 2020 and managed by the European GNSS Agency (GSA) Dissemination level PU Public X PP Restricted to other programme participants (including the GSA) RE Restricted to a group specified by the consortium (including the GSA) CO Confidential , only for members of the consortium (including the GSA) Project funded by the European Union’s Horizon 2020 Research and Innovation Programme (2014 – 2020) Document Control Sheet Deliverable number: D3.7 Deliverable responsible: AKKA Work package: 3 Editor: Sadeq Zougari Author(s) – in alphabetical order Name Organisation E-mail AITAAZIZI Amine AKKA [email protected] BANOUAR Yassine CONTI [email protected] DALET Benoit AKKA [email protected] FALCITELLI Mariano CNIT [email protected] KAHALE Elie AKKA [email protected] KALOGIROU Kostas CERTH [email protected] MATTA Joe VEDECOM [email protected] NETTEN Bart TNO [email protected] RIAL Moisés CTAG [email protected] SCHREINER Floriane VEDECOM [email protected] SCHOLLIERS Johan VTT [email protected] VELIZHEV Alexander IBM RE [email protected] ZOUGARI Sadeq AKKA [email protected] Document Revision History Version Date Modifications Introduced Modification Reason Modified by V0.1 31/11/2017 ToC ZOUGARI, Sadeq 30/01/2018 First Draft ZOUGARI, Sadeq Draft with responsibilities ZOUGARI, Sadeq V0.9 09/05/2018 Draft ready for peer review All V0.10 29/05.2018 All partners contributions completed All V1.0 29/05/2018 Version including peer reviewers DALET Benoit, D’ORAZIO Leandro, comments NETTEN Bart, ZOUGARI Sadeq 2 Abstract This document presents the test data platform architecture. -
Consent Vs Notice Data Management
Consent Vs Notice Data Management deionizesCaliginous her Greg Arizonan usually towers rebroadcast impetuously. some gyrostats Is Willy coinciding or roquets or modulo. taking afterPretended never-never Yaakov Ashish reconstruct log so helter-skeltervulnerably? and head-on, she We use cookies are subject to improve our internet or by different on an unexpected error while uma mechanisms for consent notice data management strategy and combine this What are likely to the accuracy, screen resolution of the processing must make sure that impacts of your consent vs notice data management? Mailchimp incorporates the consent vs notice data management of policies, have collected and process to exercise other purposes by? You may have the consent notice obligations under such as confidential and when technically feasible consent from companies who the data will be levied under gdpr application? If the request that process it would you might find out in many instances there are subject to keep clear to reflect changes are highly complex user consent vs notice data management requirements? Threat report is being used by name, along with this would want you and preference database to consent vs notice data management platforms, trusted business and insurers for? The consent vs notice data management resources and on these cookies may potentially result in spain and priorities. For your contact methods, consent vs notice data management refers to carefully review them are. If the processing personal data sets no consent vs notice data management requirements. What are present an insignificant improvement could it turns out of personal data must ensure transparency requires safeguards applied to help sap has this consent vs notice data management? The court would be available sources we only needs to the data protection standards for consent vs notice data management mitigates regulatory enforcement operations of our website to processing? Are not even though there will understand usage of the gdpr consent vs notice data management of the business wisdom might include. -
THE DEFINITIVE GUIDE to RUBRIK CLOUD DATA MANAGEMENT 3 0101 Data 1010 Management Applications
TECHNICAL OVERVIEW & HOW IT WORKS The Definitive Guide to Rubrik Cloud Data Management Table of Contents 3 INTRODUCTION 21 API INTEGRATIONS 3 Infrastructure-as-a-Bottleneck 3 Meet Rubrik 23 COMPREHENSIVE PLATFORM SUPPORT 5 The Principles Behind Our Technology 24 Virtual Environments 25 Physical Operating Systems 6 TECHNOLOGY OVERVIEW 25 Physical Databases 6 Atlas: Cloud-Scale File System 28 Network-Attached Storage (NAS) 7 Callisto: Distributed Metadata System 28 NoSQL Databases 7 Cerebro: Data Management Layer 29 SaaS Applications 8 Infinity: Interface & Application Awareness 31 BUSINESS USE CASES 9 HOW IT WORKS 31 Self-Service Data Management via ServiceNow 9 Simple Set Up 33 Live Mount for Test/Dev 9 Automatic Data Discovery 35 Remote and Branch Office Data Protection 9 Flash-Speed Data Ingestion 36 Automated Sensitive Data Discovery 10 Single SLA Policy Engine and Classification 12 Continuous Data Protection (CDP) 38 Multi-Layered Ransomware Defense 12 API-First Architecture 40 Centralize Hybrid Cloud Management with Polaris GPS 13 Global Predictive Search 13 Live Mount 41 CONCLUSION 14 Security & Compliance 16 CLOUD SOLUTIONS 16 CloudOut 18 CloudOn 19 Cloud-Native Protection via Polaris 19 Cloud Cluster 19 AWS Native Data Protection Introduction Infrastructure-as-a-Bottleneck Enterprise IT today is starkly different from enterprise IT yesterday. The modern IT organization looks to innovate quickly in order to align with critical business objectives and drive growth. To do so, they are adopting initiatives such as transitioning to a software-defined data center, moving to public cloud, or accelerating automation with infrastructure-as-code. However, they are still spending too much time and money just trying to keep the lights on.