90 % av alla dataintrång fokuserar på data i databaser. Det är där ditt företags känsliga och åtråvärda information finns. I 38 % av dessa intrång tar det minuter att få ut känsligt data, samtidigt som det för hälften av intrången tar månader eller mer innan de upptäcks. Dave Valovcin, från IBM WW Guardium Sales, berättar om hur du kan skydda din känsliga data.
Archive First: An Intelligent Data Archival Strategy, Part 1 of 3Hitachi Vantara
For many IT organizations there is simply too much file data to deal with. You may have some of the significant IT challenges, such as inadequate storage space, long backup and restore operations, limitations on available power and floor space, extended or even infinite retention periods, finding the right information in a timely manner, and more. The first step to controlling this file – or "unstructured" – data is intelligent archiving, which preserves access to data from its original location, and stores the data elsewhere. Storing that data in a platform that scales while consuming the least resources possible, protects and preserves data, makes it always available and easily accessible, and helps you extract value from previously "dark" data. View this webcast to learn how to: Reclaim or defer high performance storage purchases. Save more on all the costs of owning and maintaining growing content. Back up less data and reduce capacity needs. Set yourself up for what’s next. For more information on Archive first please read: http://www.hds.com/assets/pdf/hitachi-datasheet-archive-first.pdf
Making the Case for Hadoop in a Large Enterprise-British AirwaysDataWorks Summit
Making the Case for Hadoop in a Large Enterprise
British Airways
Alan Spanos
Data Exploitation Manager
British Airways
Jay Aubby
Architect
British Airways
90 % av alla dataintrång fokuserar på data i databaser. Det är där ditt företags känsliga och åtråvärda information finns. I 38 % av dessa intrång tar det minuter att få ut känsligt data, samtidigt som det för hälften av intrången tar månader eller mer innan de upptäcks. Dave Valovcin, från IBM WW Guardium Sales, berättar om hur du kan skydda din känsliga data.
Archive First: An Intelligent Data Archival Strategy, Part 1 of 3Hitachi Vantara
For many IT organizations there is simply too much file data to deal with. You may have some of the significant IT challenges, such as inadequate storage space, long backup and restore operations, limitations on available power and floor space, extended or even infinite retention periods, finding the right information in a timely manner, and more. The first step to controlling this file – or "unstructured" – data is intelligent archiving, which preserves access to data from its original location, and stores the data elsewhere. Storing that data in a platform that scales while consuming the least resources possible, protects and preserves data, makes it always available and easily accessible, and helps you extract value from previously "dark" data. View this webcast to learn how to: Reclaim or defer high performance storage purchases. Save more on all the costs of owning and maintaining growing content. Back up less data and reduce capacity needs. Set yourself up for what’s next. For more information on Archive first please read: http://www.hds.com/assets/pdf/hitachi-datasheet-archive-first.pdf
Making the Case for Hadoop in a Large Enterprise-British AirwaysDataWorks Summit
Making the Case for Hadoop in a Large Enterprise
British Airways
Alan Spanos
Data Exploitation Manager
British Airways
Jay Aubby
Architect
British Airways
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Freddie Mac makes homeownership and rental housing more accessible and affordable. Operating in the secondary mortgage market, we keep mortgage capital flowing by purchasing mortgage loans from lenders so they in turn can provide more loans to qualified borrowers. Our mission to provide liquidity, stability, and affordability to the U.S. housing market in all economic conditions extends to all communities from coast to coast.
We're using big data and advanced analytics to create powerful enhancements to better meet our customer’s needs: automated collateral evaluation, automated assessments for borrowers without credit scores, immediate certainty for collateral rep and warranty relief, and coming soon automated asset and income validation.
We’re building tools to help our customers cut costs and give them rep and warranty relief sooner in the loan manufacturing process.
We’ve designed Loan Advisor Suite with lenders to give our customers greater certainty, usability, reliability and efficiency. It's a simpler, better way to do business.
More Tools - Access powerful solutions for every stage of the loan production process.
More Loans - Increase output with automated data management and user-friendly controls.
Less Risk = Get alerted to loan issues and take action the moment they occur.
Hear the story of how ACE helped Freddie Mac reimagine the mortgage process and how HDP helped make it possible.
Speaker
Dennis Tally, Freddie Mac, Director
Data Governance, Compliance and Security in Hadoop with ClouderaCaserta
In our recent Big Data Warehousing Meetup, we discussed Data Governance, Compliance and Security in Hadoop.
As the Big Data paradigm becomes more commonplace, we must apply enterprise-grade governance capabilities for critical data that is highly regulated and adhere to stringent compliance requirements. Caserta and Cloudera shared techniques and tools that enables data governance, compliance and security on Big Data.
For more information, visit www.casertaconcepts.com
Perspectives on Ethical Big Data GovernanceCloudera, Inc.
Enterprise data governance is a critical, yet challenging, business process, and the rapidly expanding universe of data volumes and types make it a more significant undertaking, particularly for public sector organizations. In this session, attendees will learn how to bring comprehensive data governance to their organizations to ensure data collected and managed is handled and protected as required. Discover practical information on how to use the components and frameworks of the Hadoop stack to support your requirements for data auditing, lineage, metadata management, and policy enforcement, and hear recommendations on how to get started with measuring the progress of ethical big data usage--including what’s legal and what’s right. Bring your questions and join this lively, interactive dialogue.
Keynote: The Journey to Pervasive AnalyticsCloudera, Inc.
We are in the middle of a data rush. When you are right in the center of a storm, it can seem overwhelming. Where should I start? What do I need to think about? What is the best long-term bet? But don’t forget that more data should mean great news. More data should mean more insight, more guidance, and more strategic direction. However, more data doesn’t automatically rally your entire business around common goals and insights. You need a platform and architecture that can support a thriving, analytic-driven business culture that embraces a pervasive analytics strategy.
How to create a successful data archiving strategy for your Salesforce Org.DataArchiva
Data archiving has been proved to be one of the most effective approaches when it comes to managing Salesforce data growth and storage space. You can seamlessly archive your Salesforce data using Big Objects and save significant data storage costs.
In the age of IoT, most everyone is talking about data lakes. For the most part, we all agree on the value data lakes deliver, but beyond this conceptual agreement, there are still many practical questions that need answers. The key to success comes down to how data lakes are implemented and managed.
Chuck Yarbrough outlines the 5 keys for creating a data lake along with strategies for defining, ingesting, governing, managing, and analyzing the data lake in ways that will enable transformative benefits in Iot and other use cases. This session will show and share how real-world data lake implementations are changing the world. Chuck focuses on automation of the data lake from ingesting data to managing metadata at scale and applying machine learning to drive significant results. Along the way, Chuck explores tools and procedures that help create a well-organized, -governed, and -managed data lake—without the risk of creating a dreaded data swamp. You’ll leave armed with the five keys to successfully creating and managing a killer data lake.
Manufacturers have an abundance of data, whether from connected sensors, plant systems, manufacturing systems, claims systems and external data from industry and government. Manufacturers face increased challenges from continually improving product quality, reducing warranty and recall costs to efficiently leveraging their supply chain. For example, giving the manufacturer a complete view of the product and customer information integrating manufacturing and plant floor data, with as built product configurations with sensor data from customer use to efficiently analyze warranty claim information to reduce detection to correction time, detect fraud and even become proactive around issues requires a capable enterprise data hub that integrates large volumes of both structured and unstructured information. Learn how an enterprise data hub built on Hadoop provides the tools to support analysis at every level in the manufacturing organization.
Use cases for Hadoop and Big Data Analytics - InfoSphere BigInsightsGord Sissons
This presentation is from TDWI's event in Boston during the summer of 2014. IBM InfoSphere BigInsights is IBM's enterprise grade Hadoop offering. It combines the best of open-source Hadoop, with advanced capabilities including Big SQL that clients can optionally deploy to get to market faster with a variety of big data and analytic applications.
Open Source in the Energy Industry - Creating a New Operational Model for Dat...DataWorks Summit
The energy industry is well known to be laggard adopters of new technology. However, industry challenges such as aging assets & workforce, increased regulatory scrutiny, renewable energy sources, depressed commodity prices, changing customer expectations, and growing data volumes are pushing companies to explore new technologies to help solve these problems. Learn how Io-Tahoe’s platform built on open source technologies from Hortonworks, is helping organizations in the energy vertical transform into data driven enterprises.
Multi-Cloud Integration with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3corOL4
More and more organizations are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a highly distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA).
In this on-demand webinar, you will learn about:
- The challenges facing organizations as they adopt multi-cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer
The data services marketplace is enabled by a data abstraction layer that supports rapid development of operational applications and single data view portals. In this presentation yo will learn services-based reference architecture, modality, and latency of data access.
- Reference architecture for enterprise data services marketplace
- Modality and latency of data access
- Customer use cases and demo
This presentation is part of the Denodo Educational Seminar , and you can watch the video here goo.gl/vycYmZ.
New Innovations in Information Management for Big Data - Smarter Business 2013IBM Sverige
Big data has changed the IT landscape. Learn how
your existing IIG investment, combined with our
latest innovations in integration and governance, is a
springboard to success with big data use cases that
unlock valuable new insights. Presenter: David Corrigan, Big Data Specialist, IBM
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Freddie Mac makes homeownership and rental housing more accessible and affordable. Operating in the secondary mortgage market, we keep mortgage capital flowing by purchasing mortgage loans from lenders so they in turn can provide more loans to qualified borrowers. Our mission to provide liquidity, stability, and affordability to the U.S. housing market in all economic conditions extends to all communities from coast to coast.
We're using big data and advanced analytics to create powerful enhancements to better meet our customer’s needs: automated collateral evaluation, automated assessments for borrowers without credit scores, immediate certainty for collateral rep and warranty relief, and coming soon automated asset and income validation.
We’re building tools to help our customers cut costs and give them rep and warranty relief sooner in the loan manufacturing process.
We’ve designed Loan Advisor Suite with lenders to give our customers greater certainty, usability, reliability and efficiency. It's a simpler, better way to do business.
More Tools - Access powerful solutions for every stage of the loan production process.
More Loans - Increase output with automated data management and user-friendly controls.
Less Risk = Get alerted to loan issues and take action the moment they occur.
Hear the story of how ACE helped Freddie Mac reimagine the mortgage process and how HDP helped make it possible.
Speaker
Dennis Tally, Freddie Mac, Director
Data Governance, Compliance and Security in Hadoop with ClouderaCaserta
In our recent Big Data Warehousing Meetup, we discussed Data Governance, Compliance and Security in Hadoop.
As the Big Data paradigm becomes more commonplace, we must apply enterprise-grade governance capabilities for critical data that is highly regulated and adhere to stringent compliance requirements. Caserta and Cloudera shared techniques and tools that enables data governance, compliance and security on Big Data.
For more information, visit www.casertaconcepts.com
Perspectives on Ethical Big Data GovernanceCloudera, Inc.
Enterprise data governance is a critical, yet challenging, business process, and the rapidly expanding universe of data volumes and types make it a more significant undertaking, particularly for public sector organizations. In this session, attendees will learn how to bring comprehensive data governance to their organizations to ensure data collected and managed is handled and protected as required. Discover practical information on how to use the components and frameworks of the Hadoop stack to support your requirements for data auditing, lineage, metadata management, and policy enforcement, and hear recommendations on how to get started with measuring the progress of ethical big data usage--including what’s legal and what’s right. Bring your questions and join this lively, interactive dialogue.
Keynote: The Journey to Pervasive AnalyticsCloudera, Inc.
We are in the middle of a data rush. When you are right in the center of a storm, it can seem overwhelming. Where should I start? What do I need to think about? What is the best long-term bet? But don’t forget that more data should mean great news. More data should mean more insight, more guidance, and more strategic direction. However, more data doesn’t automatically rally your entire business around common goals and insights. You need a platform and architecture that can support a thriving, analytic-driven business culture that embraces a pervasive analytics strategy.
How to create a successful data archiving strategy for your Salesforce Org.DataArchiva
Data archiving has been proved to be one of the most effective approaches when it comes to managing Salesforce data growth and storage space. You can seamlessly archive your Salesforce data using Big Objects and save significant data storage costs.
In the age of IoT, most everyone is talking about data lakes. For the most part, we all agree on the value data lakes deliver, but beyond this conceptual agreement, there are still many practical questions that need answers. The key to success comes down to how data lakes are implemented and managed.
Chuck Yarbrough outlines the 5 keys for creating a data lake along with strategies for defining, ingesting, governing, managing, and analyzing the data lake in ways that will enable transformative benefits in Iot and other use cases. This session will show and share how real-world data lake implementations are changing the world. Chuck focuses on automation of the data lake from ingesting data to managing metadata at scale and applying machine learning to drive significant results. Along the way, Chuck explores tools and procedures that help create a well-organized, -governed, and -managed data lake—without the risk of creating a dreaded data swamp. You’ll leave armed with the five keys to successfully creating and managing a killer data lake.
Manufacturers have an abundance of data, whether from connected sensors, plant systems, manufacturing systems, claims systems and external data from industry and government. Manufacturers face increased challenges from continually improving product quality, reducing warranty and recall costs to efficiently leveraging their supply chain. For example, giving the manufacturer a complete view of the product and customer information integrating manufacturing and plant floor data, with as built product configurations with sensor data from customer use to efficiently analyze warranty claim information to reduce detection to correction time, detect fraud and even become proactive around issues requires a capable enterprise data hub that integrates large volumes of both structured and unstructured information. Learn how an enterprise data hub built on Hadoop provides the tools to support analysis at every level in the manufacturing organization.
Use cases for Hadoop and Big Data Analytics - InfoSphere BigInsightsGord Sissons
This presentation is from TDWI's event in Boston during the summer of 2014. IBM InfoSphere BigInsights is IBM's enterprise grade Hadoop offering. It combines the best of open-source Hadoop, with advanced capabilities including Big SQL that clients can optionally deploy to get to market faster with a variety of big data and analytic applications.
Open Source in the Energy Industry - Creating a New Operational Model for Dat...DataWorks Summit
The energy industry is well known to be laggard adopters of new technology. However, industry challenges such as aging assets & workforce, increased regulatory scrutiny, renewable energy sources, depressed commodity prices, changing customer expectations, and growing data volumes are pushing companies to explore new technologies to help solve these problems. Learn how Io-Tahoe’s platform built on open source technologies from Hortonworks, is helping organizations in the energy vertical transform into data driven enterprises.
Multi-Cloud Integration with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3corOL4
More and more organizations are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a highly distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA).
In this on-demand webinar, you will learn about:
- The challenges facing organizations as they adopt multi-cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer
The data services marketplace is enabled by a data abstraction layer that supports rapid development of operational applications and single data view portals. In this presentation yo will learn services-based reference architecture, modality, and latency of data access.
- Reference architecture for enterprise data services marketplace
- Modality and latency of data access
- Customer use cases and demo
This presentation is part of the Denodo Educational Seminar , and you can watch the video here goo.gl/vycYmZ.
New Innovations in Information Management for Big Data - Smarter Business 2013IBM Sverige
Big data has changed the IT landscape. Learn how
your existing IIG investment, combined with our
latest innovations in integration and governance, is a
springboard to success with big data use cases that
unlock valuable new insights. Presenter: David Corrigan, Big Data Specialist, IBM
Testing Big Data: Automated Testing of Hadoop with QuerySurgeRTTS
Are You Ready? Stepping Up To The Big Data Challenge In 2016 - Learn why Testing is pivotal to the success of your Big Data Strategy.
According to a new report by analyst firm IDG, 70% of enterprises have either deployed or are planning to deploy big data projects and programs this year due to the increase in the amount of data they need to manage.
The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth.
Learn why testing your enterprise's data is pivotal for success with big data and Hadoop. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data - all with one data testing tool.
Hadoop in 2015: Keys to Achieving Operational Excellence for the Real-Time En...MapR Technologies
In this webinar, Carl W. Olofson, Research Vice President, Application Development and Deployment for IDC, and Dale Kim, Director of Industry Solutions for MapR, will provide an insightful outlook for Hadoop in 2015, and will outline why enterprises should consider using Hadoop as a "Decision Data Platform" and how it can function as a single platform for both online transaction processing (OLTP) and real-time analytics.
Bring Your SAP and Enterprise Data to Hadoop, Kafka, and the CloudDataWorks Summit
The world’s largest enterprises run their infrastructure on Oracle, DB2 and SQL and their critical business operations on SAP applications. Organisations need this data to be available in real-time to conduct necessary analytics. However, delivering this heterogeneous data at the speed it’s required can be a huge challenge because of the complex underlying data models and structures and legacy manual processes which are prone to errors and delays.
Unlock these silos of data and enable the new advanced analytics platforms by attending this session.
Find out how to:
• To overcome common challenges faced by enterprises trying to access their SAP data
• You can integrate SAP data in real-time with change data capture (CDC) technology
• Organisations are using Attunity Replicate for SAP to stream SAP data in to Kafka
Speakers:
John Hol, Regional Director, Attunity
Mike Hollobon, Director Business Development, IBT
Cisco Big Data Warehouse Expansion Featuring MapR DistributionAppfluent Technology
Learn more about the Cisco Big Data Warehouse Expansion Solution featuring MapR Distribution including Apache Hadoop.
The BDWE solution begins with the collection of data usage statistics by Appfluent. Then the BDWE solution optimizes Cisco UCS hardware for running the MapR Distribution including Hadoop, software for federating multiple data sources, and a comprehensive services methodology for assessing, migrating, virtualizing, and operating a logically expanded warehouse.
Learn more about Cisco BDWE. Appfluent Visibility™ named part of Cisco’s Big Data Warehouse Expansion, a solution to help customers control costs, manage expanding data warehouses.
Which Change Data Capture Strategy is Right for You?Precisely
Change Data Capture or CDC is the practice of moving the changes made in an important transactional system to other systems, so that data is kept current and consistent across the enterprise. CDC keeps reporting and analytic systems working on the latest, most accurate data.
Many different CDC strategies exist. Each strategy has advantages and disadvantages. Some put an undue burden on the source database. They can cause queries or applications to become slow or even fail. Some bog down network bandwidth, or have big delays between change and replication.
Each business process has different requirements, as well. For some business needs, a replication delay of more than a second is too long. For others, a delay of less than 24 hours is excellent.
Which CDC strategy will match your business needs? How do you choose?
View this webcast on-demand to learn:
• Advantages and disadvantages of different CDC methods
• The replication latency your project requires
• How to keep data current in Big Data technologies like Hadoop
Hitachi Data Systems Hadoop Solution. Customers are seeing exponential growth of unstructured data from their social media websites to operational sources. Their enterprise data warehouses are not designed to handle such high volumes and varieties of data. Hadoop, the latest software platform that scales to process massive volumes of unstructured and semi-structured data by distributing the workload through clusters of servers, is giving customers new option to tackle data growth and deploy big data analysis to help better understand their business. Hitachi Data Systems is launching its latest Hadoop reference architecture, which is pre-tested with Cloudera Hadoop distribution to provide a faster time to market for customers deploying Hadoop applications. HDS, Cloudera and Hitachi Consulting will present together and explain how to get you there. Attend this WebTech and learn how to: Solve big-data problems with Hadoop. Deploy Hadoop in your data warehouse environment to better manage your unstructured and structured data. Implement Hadoop using HDS Hadoop reference architecture. For more information on Hitachi Data Systems Hadoop Solution please read our blog: http://blogs.hds.com/hdsblog/2012/07/a-series-on-hadoop-architecture.html
This presentation will describe the analytics-to-cloud migration initiative underway at Fannie Mae. The goal of this effort is threefold: (1) build a sustainable process for data lake hydration on the cloud and (2) modernize the Fannie Mae enterprise data warehouse infrastructure and (3) retire Netezza.
Fannie Mae partnered with Impetus for modernization of its Netezza legacy analytics platform. This involved the use of the Impetus Workload Migration solution—a sophisticated translation engine that automated the migration of their complex Netezza stored procedures, shell and scheduler scripts to Apache Spark compatible scripts. This delivered substantial savings in time, effort and cost, while reducing overall project risk.
Included in the scope of the automation project was an automated assessment capability to perform detailed profiling of the current workloads. The output from the assessment stage was a data-driven offloading blueprint and roadmap for which workloads to migrate. A hybrid cloud-based big data solution was designed based on that. In addition to fulfilling the essential requirement of historical (and incremental) data migration and automated logic translation, the solution also recommends optimal storage formats for the data in the cloud, performing SCD Type 1 and Type 2 for mission-critical parameters and reloading the transformed data back for reporting/analytical consumption.
This will include the following topics:
i. Fannie Mae analytics overview
ii. Why cloud migration for analytics?
iii. Approach, major challenges, lessons learned
Speaker
Kevin Bates, Vice President for Enterprise Data Strategy Execution, Fannie Mae
ATAGTR2017 Performance Testing and Non-Functional Testing Strategy for Big Da...Agile Testing Alliance
The presentation on Performance Testing and Non-Functional Testing Strategy for Big Data Applications was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Abhinav Gupta
Webinar: Amplify your information governance with a robust data lineageEstuate, Inc.
Join Mr. Yetkin Ozkucur, VP and Practice Lead for ASG’s Enterprise Data Intelligence Suite and Mr. Marc, COO, Estuate Inc. for the webinar 'Amplify your information governance with a robust data lineage' on Wednesday, 23rd May 2018 to understand:
* How data lineage offers better visibility of your critical data assets
* How you can integrate data lineage with your existing governance framework
* How Estuate combines the best of IBM’s Information Governance and ASG’s Data Lineage
Register here https://www.estuate.com/upcoming-event/amplify-your-information-governance-with-a-robust-data-lineage
Webinar on IBM Optim Test Data Management and Data PrivacyEstuate, Inc.
Join us for this webinar on Thursday, October 24 @ 03:00 PM IST featuring insights from Rajarajan Packianathan on IBM Optim Test Data Management and Data Privacy .Register today to reserve your seats - http://goo.gl/RfHND8
Webinar on Managing your Oracle EBS for ProductivityEstuate, Inc.
Join us on this webinar on Thursday, October 03 @ 10AM PDT to learn how to improve processes with automation, Reduce chaos, production downtime and inefficient firefighting, maximize the ROI of Oracle EBS and increase application availability and reliability, speed changes and upgrades to Oracle EBS.
Stop Hunger Now Partners with Estuate to package 10,000 MealsEstuate, Inc.
Stop Hunger Now and Estuate are joining forces in the fight against hunger. More than 30 employees will package meals for the world’s hungry on September 28, 2013 in Sunnyvale, CA at 10:00 AM.
Upcoming Webinar on Retiring Applications - The Low Hanging Fruit in IT SavingsEstuate, Inc.
Join us for this webinar to learn how an application retirement strategy and a Corporate Archive Repository can yield big cost savings while meeting the business's data access and regulatory compliance needs on Wednesday, April 25 @ 10AM PST by experts Marc Hebert & Brian Babineau
Best Practices in Implementing Oracle Database Security ProductsEstuate, Inc.
Information is the world’s new currency. Databases are the digital banks that store and retrieve valuable information. The growing number of high-profile incidents in which customer records, confidential information and intellectual property are leaked, lost or stolen has created an explosive demand for solutions that protect against the deliberate or inadvertent release of sensitive information.Oracle is the global leader in relational database technology, and has built a rich set of database security products and database features within its product portfolio.
Estuate helps major wireless telecom save tens of millionsEstuate, Inc.
A major wireless telecom wanted to curb data growth and reduce hardware and storage costs across its enterprise. After years of accumulating transaction records, the telecoms databases had become difficult and costly to maintain and operate. Estuate and IBM worked together to implement IBM Optim Solutions and enhance the telecoms data governance function.
Have you begun to see the value of Enterprise Data Management? If so, perhaps you’ve decided that simply buying more hardware is no longer a viable option for your IT department. Despite the ever-falling cost of hardware, each new machine you add will increase your labor, power, and cooling costs over time.
Ready To Make The Move To Oracle Release 12Estuate, Inc.
In as quickly as 2-4 weeks, Estuate will help your organization upgrade one operating unit to Oracle E-Business Suite (EBS) R12, providing the basis for your remaining R12 upgrade. Using the Rapid E-Suite solution, we will extract your current configurations and setups from your 11i environment in a secure process, and assist you in transforming the 11i configurations into R12 formats. Once configured, we’ll inject these configurations into a fresh R12 instance.
The world-class functionality in Oracle enables our clients to migrate their applications written using other databases, such as MySQL, Microsoft SQL Server and Sybase in a matter of weeks. Migrating databases and their accompanying applications is not a minor business undertaking.
Estuate - Control Application Data GrowthEstuate, Inc.
Data growth is a significant challenge for most Fortune 1000 companies. The drivers of data growth are organic business growth, mergers and acquisitions, data retention requirements and something the author of this white paper refers to as the “Data Multiplier Effect.”
Integration of Oracle EAM with Oracle AutoVueEstuate, Inc.
Estuate’s Work Order Print Service solves the work order printing challenge, consistently rated one of Oracle eAM customers’ biggest challenges, by enabling easy printing of work order reports and related attachments stored in eAM. A company is only as good as its infrastructure. Regardless of size or purpose, business processes and services within a company rely heavily on the dependability of assets and their impact on everyday business processes.
Estuate implemented the IBM Optim Data Growth Solution, retired the company’s unneeded instances of Oracle E-Business Suite, archived all the data from the applications, and delivered a reporting capability for the retired data.
Estuate provides end-to-end implementation and management of leading enterprise application products. We specialize in the full Oracle E-Business Suite and IBM’s Optim products—Data Archiving, Data Masking, Test Data Management and Decommissioning.
Five Characteristics of a Good Oracle Exadata Implementation PartnerEstuate, Inc.
When companies want to implement powerful software, they need to implement powerful hardware. That’s a rule that will probably never change—so companies have come to accept it. What they’re still wrestling with is the fact that there needs to be a connection between the server and the hard disk.
Enterprise applications and databases do not just help in running the business - they are your business. And every year, they grow in size and complexity, making them harder to manage. Uncontrolled data growth threatens application performance and service level agreements, increases maintenance costs, and exposes enterprises to legal liability for data privacy and security.
Estuate expertise in proven Oracle BI methodologies mitigates key risk factors from your business intelligence implementations. Estuate can redefine your BI strategy and deliver cost effective deployments and adoption.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Assure Contact Center Experiences for Your Customers With ThousandEyes
Using hadoop for enterprise data management
1.
2. 2
Marc Hebert
Chief Operating Officer
Estuate
510-468-7132
marc@estuate.com
Jeff Tuck
IBM Optim Product
Manager
720-395-6032
jtuck@us.ibm.com
Peter Costigan
IBM Optim Product
Manager
408-656-9161
costigan@us.ibm.com
3. 3
The Hadoop Data Management Challenge
Using Hadoop for Test Data Management
Making Archive Data Available to Big Data
Analytics
Summary
4. 4
The Hadoop Data Management Challenge
Many IT shops are using Hadoop for serious analytic applications,
and accumulating large amounts of data
Hadoop is fast becoming a standard platform for analytics and other
uses
And so, managing data in and with Hadoop will pose management
challenges in the next few years
Hadoop can be a very useful tool for managing test data in an
overall test data management context
Hadoop will also likely become an data archive repository of choice
for many IT shops that have application archiving and retirement
initiatives
And, subsetting, masking and archiving Hadoop data itself needs
attention
IBM’s Optim platform leverages Hadoop for these purposes
5. 5
Channels
Big data
Enterprise
Applications
Discover Mask AnalyzeRefreshSubset
Discover
Identify sensitive data
Understand data
relationships
Identify proper test
data
Subset
Automatically extract
test data required for
each test case
Test only on the
required values to
keep environments
efficient
Mask
Enforce data integrity
while masking
Support context &
application aware
masking
Refresh &
Analyze
On demand access &
refresh of test data
Automate test result
comparisons to reduce
errors
Divisional
customer
Network
Billing
analysis
6. 6
Protect sensitive
information from misuse
and fraud
Prevent data breaches
and associated fines
Achieve better information
governance
Protect confidential data
used in big data platforms
Mask data on screen in
applications and reports
Implement proven data
masking techniques
Support compliance with
privacy regulations
Requirements
Benefits
De-identify sensitive information
with realistic but fictional data
Personally identifiable
information is masked with
realistic but fictional data
JASON MICHAELS ROBERT SMITH
Mask data on demand
7. InfoSphere
Optim
InfoSphere
BigInsights
BigSheets
Dev
QA
Integration
Scalable and Cost Effective
• Leverage the scalability of Hadoop to grow your
test environment to support all test data needs
• Benefit from high performance at a low TCO
Trusted
• Mask sensitive data on the way in and out
• Process test data as a complete business object
and maintain relationship integrity
Open
•Leverages the Hadoop open and flexible
architecture
•Built-in connectors to move data in and out
•Query and analyze test data using Big SQL & Hive
• Visualize test data with BigSheets, Watson
Explorer or other Hadoop analytic tools
InfoSphere
Optim
8. A fully functional test data management offering for
Hadoop
– Supports Hive as a native source and target data
store
– Optim Primary Keys and Relationships
– Access Definitions, Table Maps and Column Maps
– Extract, Convert and Load
» New Load service designed specifically for
Hadoop
» Insert not supported due to Hive limitations
– Browse, Edit, Compare and Create
9. A Test Data Management solution that utilizes Hadoop as a test data
management warehouse to store, analyze, search and retrieve structured test
data to satisfy all testing use case data requirements throughout all phases of
the application development lifecycle
Business Objectives
1. Store and catalog data into Hadoop and utilize it as a test data warehouse
2. Explore cataloged data residing in a Hadoop test data warehouse
3. Search for cataloged data residing in a Hadoop test data warehouse
4. Retrieve cataloged data from a Hadoop test data warehouse
5. Store cataloged data in a Hadoop test data warehouse into other non
Hadoop relational data stores
10. other
New Capabilities Benefits
• Hadoop as a test data landing zone highly scalable at low cost
more data can be under control of testers
higher agility to adjust & create test data sets
open to access & manipulate data
• BigSheets (BigInsights tooling*) Visualization and manipulation of data
• BigSQL (BigInsights tooling*) Rich SQL + standard access + security … and more
Test Data
Test Data
Test Data
PROD
DB
Production
DB
Optim Technology
Expanded control for developers & testers to retrieve & create test data
(Subset) & Mask
Load/Refresh
open + managed
Optim v11.3
Load
Hadoop
BigInsights
*restricted license
11. 11
Making Archive Data Available to Big Data
Analytics
Optim enables clients to take historical data from production
systems and place that data into an archive file
That archive file can have retention applied in support of corporate
and regulatory compliance requirements
Data from archive files can be easily made available in Hadoop in
support of analytic initiatives, while the Optim archive file remains
the system of record
12. 12
Benefits of Using Optim Archive as the
System of Record
Ensures data is kept in the original business context without
modification
Provides the ability to restore information to production systems
(selectively if required) including recreation of schemas and
database objects as needed
Enables retention and disposition of information based on legal and
corporate policy (delete after 7 years)
Enables eDiscovery and Legal Hold workflows
Imposes access controls of archived data for data consumers
13. 13
Considerations when Leveraging Hadoop as a
System of Record
How will data access mechanisms be secured?
Are audit records required for data access?
Will the data set stored in Hadoop be immutable and guaranteed not to be
altered?
How will retention policies be executed and explained when required?
In the event of audit requests, are there processes in place to leverage
Hadoop as a source?
14. Apply Retention / Hold Policies
Capture complete business object
Preserve Data Integrity
Preserve Schema Metadata
Load data into Hadoop as needed
Archive Cold Data
Query-able analytical data
store, using Hadoop
Archive & Purge Data
InfoSphere Optim
Compressed, immutable,
auditable & restorable
archives
Database
IMS
VSAM
More…
Archive files Hadoop
15. Complete
object
Hadoop Cluster
Application
Optim – Hadoop Integration:
•Optim Hadoop Loader to convert Optim archive file into CSV & load into HDFS
•Data accessible via query engines like BigSQL, Hive, or Impala (depending on
Hadoop distribution
Database
Data Archive
files
Optim Data Archive Optim
Hadoop Loader
CSV Files
Hive warehouse
Hcatalog
metadata
BigSQL ..
query processing
16. 16
Manage Your Hadoop Data with Help from
Your Friends: Estuate and IBM Optim
Estuate is the world’s leading specialist in IBM Optim
Deep product development relationship with IBM
Over 250 Optim implementations
IBM Optim is the world’s leading data archiving platform with 76%
market share, per Gartner
Optim customers are starting to leverage Hadoop platforms in their
Information Lifecycle Governance initiatives
Estuate brings deep Optim and Hadoop experience and best
practices to help you advance your Hadoop strategy and projects
And, you can do this with either an on-premise or hosted service
17. 17
Integrated Data Management
Production DatabasesTest & Development Databases
IBM Optim- A Platform for Enterprise Data
Management
IBM InfoSphere Discovery
Value: Improve
Application
Performance, Reduce
Infrastructure Costs
& Improve
Compliance
• Retain only needed
data, move the rest to
archives
• Deploy Tiered
Storage Strategies
• Retain Data
According to Value
• Simplify Infrastructure
Data Growth
Solution
Value: Reduce
Infrastructure Cost &
Compliance
• Decommission
redundant or obsolete
applications
• Retain Access to
historical data
Decommissioning
Solution
Value: Risk
Management
•Protect PII Data
• Apply Single Data
Masking Solution
• Leverage realistic
data
Data Privacy
Solution
Value: Speed
Application Delivery
•Create realistic and
manageable test
environments
•Speed application
delivery
•Improve Test Coverage
•Improve Quality
Test Data
Management
Solution
• Discover undocumented business rules
used to transform data from existing
systems
• Prototype and test new
transformations for the target system
Value: Automates analysis of data and
data relationships for complete
understanding of data assets
•Define the business objects for archiving and sub-
setting
•Identify all instances of private data so that they can
be fully protected
18. 18
Enterprise Architecture
An integrated, modular environment to manage enterprise application data and InfoSphere Optimize data-
driven applications from requirements to retirement across heterogeneous environments.
Data GrowthData PrivacyTest Data Management Application Retirement
Discovery
Data Growth, Application Retirement, Test Data Management, Data Privacy
19. 19
Summary: The Benefits of Hadoop for
Enterprise Data Management
Hadoop is state-of-the-art as a Test Data Management
platform
Makes testing more agile and nimble
Leverages the power of Optim Data Privacy as well for
PCI compliance
Hadoop will gradually become a powerful repository for
corporate archived data
Supporting ILG initiatives and compliance