EPSi was founded in 1999 with the goal of re-engineering decision support. Over the past 20 years we have grown our client base to over 950+ individual healthcare institutions across the United States and internationally. Our customers rely on our platform for the insights they need, including 15 of the top 20 U.S. News & World Best Hospitals; and, and, our experience in delivering world-class financial decision support and integrated performance management applications is unparalleled.
EPSi’s platform has always been highly scalable. We have installations in regional medical centers and community hospitals, as well as large health systems. This includes 128 Integrated Health System customers, among them Catholic Health Initiatives, a flagship EPSi customer and one of the nation's largest healthcare systems comprised of 108 acute care hospitals and over 11,000 beds. EPSi’s base also includes 40 very prestigious academic medical centers and 14 stand-alone pediatric hospitals using our software applications.
In addition to the above, EPSi continues our rich history of innovation with the launch of our new RealCost™ platform. Our vision for RealCost™ was catalyzed by the rapidly changing healthcare landscape with new reimbursement models, increasing cost of care and organizational consolidation; while available systems today do not offer the level of integration, precision, and timeliness required to optimize effective decision making.
RealCost™ changes all of this with a high performing, cloud-based solution encompassing specific application modules along with intuitive workflow and embedded analytics. One of the goals of RealCost™ is to predict upcoming cost variances so that you can avoid costs before they happen – thereby empowering healthcare organizations to move away from the traditional practice of month-end retrospective analysis and inefficient backend processes – in favor of real-time actions – to help drive more timely and effective decision making for streamlining operations and improving financial outcomes.
RealCost will supplement existing decision support applications – and in some cases replace specific decision support system functions entirely – like Cost Accounting, the first RealCost™ module released in 2018. Additional modules scheduled for release in 2019 include Rolling Forecast and Real Time Cost.
Learn more - http://www.talend.com/products/talend-6
When you’re ready to move to Big Data, connect in the cloud, and across the Internet of Things, Talend 6 streamlines the process. Convert traditional data integration jobs and MapReduce jobs to Spark with the click of a button, and realize the potential of real-time data-driven decision making. Learn more about Talend and Spark.
Talend 6 also brings continuous delivery, MDM REST API, plus data masking and semantic discovery to our products.
Get the most out of your AWS Redshift investment while keeping cost downAgilisium Consulting
Amazon Redshift offers many powerful features. Yet, there are many instances where customers encounter sloppy performance and cost upheavals beyond control.
Scaling AWS Redshift clusters to meet the increasing compute and reporting needs, while ensuring optimal cost, performance and security standards is quite a challenge for many organizations.
This webinar covered the following,
• Understand key design/architectural considerations of AWS Redshift
• Tips & Tricks to optimize Cost & Performance
• How Agilisium helped clients reduce AWS Redshift run cost up to 40%
Presented by:
Jay Palaniappan - CTO & Head of Innovation Labs || Smitha Basavaraju - Big Data Architect || Arun Chinnadurai - Associate Director – BD
Embracing Cloud Agility to Maximize Flexibility & Performance Talend
The solution to going faster is the cloud. This is true for Talend and that is why you can see us putting significant efforts into our cloud platform. For you, the cloud means lower costs with no servers to buy and via more flexible elastic computing models; it means you can deliver change faster – you can try things quickly and you can deliver the change that your business needs. In this chart by armory you can see that these successful companies shown are deploying changes at a very high rate. This continuous integration and deployment process allows them to deliver change to their business and their customers. Finally, as we look to innovate in our business with machine learning, AI and more. The cloud is where these technologies are coming to life.
Visualizing data in real-time in all production environment has facilitated business being able to respond immediately to production issues/trends.
https://www.capgemini.com/insights-data/data/master-data-management
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...Data Con LA
In this interactive panel discussion, you will hear from these Spark experts as to why they chose to go "all-in" on Spark, leveraging the rich core capabilities that make Spark so exciting, and committing to significant IP that turns Spark into a world-class enterprise data preparation engine.
Raymond and David will explain specific cases where capabilities were built on top of core Spark to provide a true interactive data prep application experience. Innovations such as creating a Domain Specific Language (DSL), an optimizing compiler, a persistent columnar caching layer, application specific Resilient Distributed Datasets (RDDs), on-line aggregation operators to solve the core memory, pipelining and shuffling obstacles to produce a highly interactive application with the core user and data volume scale-out benefits of Spark.
Achieving Agility and Scale for Your Data Lake - TalendTalend
Most organization who going through Digital Transformation need to break down their data silos as well as leverage existing and new data sources. Here is how to build a data lake for data change in your organization.
EPSi was founded in 1999 with the goal of re-engineering decision support. Over the past 20 years we have grown our client base to over 950+ individual healthcare institutions across the United States and internationally. Our customers rely on our platform for the insights they need, including 15 of the top 20 U.S. News & World Best Hospitals; and, and, our experience in delivering world-class financial decision support and integrated performance management applications is unparalleled.
EPSi’s platform has always been highly scalable. We have installations in regional medical centers and community hospitals, as well as large health systems. This includes 128 Integrated Health System customers, among them Catholic Health Initiatives, a flagship EPSi customer and one of the nation's largest healthcare systems comprised of 108 acute care hospitals and over 11,000 beds. EPSi’s base also includes 40 very prestigious academic medical centers and 14 stand-alone pediatric hospitals using our software applications.
In addition to the above, EPSi continues our rich history of innovation with the launch of our new RealCost™ platform. Our vision for RealCost™ was catalyzed by the rapidly changing healthcare landscape with new reimbursement models, increasing cost of care and organizational consolidation; while available systems today do not offer the level of integration, precision, and timeliness required to optimize effective decision making.
RealCost™ changes all of this with a high performing, cloud-based solution encompassing specific application modules along with intuitive workflow and embedded analytics. One of the goals of RealCost™ is to predict upcoming cost variances so that you can avoid costs before they happen – thereby empowering healthcare organizations to move away from the traditional practice of month-end retrospective analysis and inefficient backend processes – in favor of real-time actions – to help drive more timely and effective decision making for streamlining operations and improving financial outcomes.
RealCost will supplement existing decision support applications – and in some cases replace specific decision support system functions entirely – like Cost Accounting, the first RealCost™ module released in 2018. Additional modules scheduled for release in 2019 include Rolling Forecast and Real Time Cost.
Learn more - http://www.talend.com/products/talend-6
When you’re ready to move to Big Data, connect in the cloud, and across the Internet of Things, Talend 6 streamlines the process. Convert traditional data integration jobs and MapReduce jobs to Spark with the click of a button, and realize the potential of real-time data-driven decision making. Learn more about Talend and Spark.
Talend 6 also brings continuous delivery, MDM REST API, plus data masking and semantic discovery to our products.
Get the most out of your AWS Redshift investment while keeping cost downAgilisium Consulting
Amazon Redshift offers many powerful features. Yet, there are many instances where customers encounter sloppy performance and cost upheavals beyond control.
Scaling AWS Redshift clusters to meet the increasing compute and reporting needs, while ensuring optimal cost, performance and security standards is quite a challenge for many organizations.
This webinar covered the following,
• Understand key design/architectural considerations of AWS Redshift
• Tips & Tricks to optimize Cost & Performance
• How Agilisium helped clients reduce AWS Redshift run cost up to 40%
Presented by:
Jay Palaniappan - CTO & Head of Innovation Labs || Smitha Basavaraju - Big Data Architect || Arun Chinnadurai - Associate Director – BD
Embracing Cloud Agility to Maximize Flexibility & Performance Talend
The solution to going faster is the cloud. This is true for Talend and that is why you can see us putting significant efforts into our cloud platform. For you, the cloud means lower costs with no servers to buy and via more flexible elastic computing models; it means you can deliver change faster – you can try things quickly and you can deliver the change that your business needs. In this chart by armory you can see that these successful companies shown are deploying changes at a very high rate. This continuous integration and deployment process allows them to deliver change to their business and their customers. Finally, as we look to innovate in our business with machine learning, AI and more. The cloud is where these technologies are coming to life.
Visualizing data in real-time in all production environment has facilitated business being able to respond immediately to production issues/trends.
https://www.capgemini.com/insights-data/data/master-data-management
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...Data Con LA
In this interactive panel discussion, you will hear from these Spark experts as to why they chose to go "all-in" on Spark, leveraging the rich core capabilities that make Spark so exciting, and committing to significant IP that turns Spark into a world-class enterprise data preparation engine.
Raymond and David will explain specific cases where capabilities were built on top of core Spark to provide a true interactive data prep application experience. Innovations such as creating a Domain Specific Language (DSL), an optimizing compiler, a persistent columnar caching layer, application specific Resilient Distributed Datasets (RDDs), on-line aggregation operators to solve the core memory, pipelining and shuffling obstacles to produce a highly interactive application with the core user and data volume scale-out benefits of Spark.
Achieving Agility and Scale for Your Data Lake - TalendTalend
Most organization who going through Digital Transformation need to break down their data silos as well as leverage existing and new data sources. Here is how to build a data lake for data change in your organization.
Moving to the Cloud: Modernizing Data Architecture in HealthcarePerficient, Inc.
Constant changes in the healthcare industry continue to drive innovation in technology and serve as a catalyst for cloud adoption. This trend will continue to evolve and accelerate in the coming years with the increasing need to store and analyze vast amounts of information for personal and population health initiatives.
We joined guest speaker from HIMSS Analytics, James Gaston, to discuss the impact of the cloud on data architecture in healthcare. Topics included:
-The benefits and risks of moving data and analytics environments to the cloud
-Main healthcare use cases for cloud migration
-Deep dive into two leading healthcare organizations’ cloud journeys including drivers, challenges, benefits, and lessons learned
Case study how exacta technologies improved productivity with mr peasyMRPeasy
While moving facilities and trying to orient in the pandemic, UK hi-tech server manufacturer Exacta Technologies found resources to implement a new ERP system, all on their own.
https://manufacturing-software-blog.mrpeasy.com/case.../
#casestudy #manufacturing #erpimplementation #erp #erpsoftware #erpsystem #erpsystemimplementation #exactatechnologies #mrpimplementation #mrpsoftware #mrpsystem #hightech #servers #MRPeasy
What are the the main areas of analytics and how can they benefit your business? Learn the value of SAS analytics and how you can get better insight into your data to make more profitable decisions.
By getting a better understanding of your data you will know which part of the data can be reliably forecast using time series methods and which cannot. You will also gain an understanding of any hierarchical structure in the data that can be used.
Highlights from our portfolio of AI projects including marketing, quality, portfolio, financial and insurance analytics solutions demonstrating the versatility and power of domain expertise, AI and Tableau's platform
Have you fallen for the API lie? The API economy implies everything easily connects and simply needs to be governed and managed. But do the data integration pains simply go away? Find out in this Intellyx whitepaper written by Jason Bloomberg.
Read more at https://intellyx.com/2016/08/29/the-api-lie/ and learn how SnapLogic can alleviate data integration pains at www.snaplogic.com.
Mike Tuche, CEO of Talend: Enabling the Data Driven EnterpriseTalend
See what's new in our latest version - http://www.talend.com/products
Talend Connect 2016 Keynote. Talend CEO Mike Tuchen describes how Talend is enabling the new future of the data-driven enterprise.
Past infrastructures provided compute, storage and network enabling static enterprise deployments which changed every few years. This talk will analyze the consequences of a world where production SAP and Spark clusters including data can be provisioned in minutes with the push of a button.
What does it mean for the IT architecture of an enterprise? How to stay in control in a super agile world?
Listen to the full webcast here: http://bit.ly/2fkBJle
Spot Lets NetApp Get the Most Out of the CloudNetApp
Prior to NetApp acquiring Spot.io, two of its IT teams had adopted Spot in their operations: Product Engineering for Cloud Volumes ONTAP test automation and NetApp IT for corporate business applications. Check out the results in this infographic.
Supercharging Smart Meter BIG DATA Analytics with Microsoft Azure Cloud- SRP ...Mike Rossi
Explosive growth of Smart Meter (SM) deployments has presented key infrastructure challenges across the utility industry. The huge volumes of smart meter data has led the industry to a tipping point which requires investments in modernizing existing data warehouses. Typical modernization efforts lead to huge capital expenditures for DW appliances and storage. Sizing this new infrastructure is tricky and can lead to underutilized or poorly performing hardware.
The Cloud is the catalyst to solving these Big Data challenges.
Utilizing a Cloud architecture delivers huge benefits by:
Maximizing use of existing architecture
Minimizing new CapEx expenditures
Lowering overall storage costs
Enabling scale on demand
Learn How Financial Services Organizations Can Use Big Data to Mitigate RisksMapR Technologies
Risk comes in a variety of forms including uncertainty in financial markets, legal liabilities, operational risk, fraud, and protection against external and internal attacks. Models are becoming increasingly granular and improving risk modeling is a high priority.
Review this presentation from Splunk and MapR to learn how you can study months’ or years’ worth of raw data from disparate sources, without sampling, to understand and reduce risk.
In this webinar, we talk with experts from Integration Developer News about the SnapLogic Elastic Integration Platform and adoption trends for iPaaS in the enterprise.
To learn more, visit: http://video.snaplogic.com/webinars/
Many companies recognize the use of data analytics as an opportunity to better understand their customers and gain a lead on their competition. The ability to get better insight from vast amounts of unstructured data, coming from a multitude of sources, can give businesses the advantage in an industry where even the smallest improvement can mean a big difference.
Amazon Web Services offers a range of big data, analytics and storage solutions that are used by companies such as NASDAQ, Bankinter and S&P Capital to deliver a highly secure and agile platform. Join this session and learn how it allows customers to start on a small scale but grow as their business requires, giving them the agility they need to deliver cutting edge solutions to their customers without any upfront CAPEX investment.
Webinar: The 5 Most Critical Things to Understand About Modern Data IntegrationSnapLogic
In this webinar, we talk to industry analyst, author and practitioner David Linthicum who provides a state-of-the-technology explanation of big data integration.
David also provides 5 critical and lesser known data integration requirements, how to understand today's requirements, and guidance for choosing the right approaches and technology to solve these problems.
To learn more, visit: www.snaplogic.com/big-data
Hadoop for Humans: Introducing SnapReduce 2.0SnapLogic
In this webinar, we talk about Hadoop, big data and SnapReduce 2.0 with SnapLogic Chief Scientist Greg Benson, Professor of Computer Science at the University of San Francisco. This webinar features a dive into SnapReduce, and a discussion about how SnapLogic delivers big data acquisition, better big data preparation and universal big data delivery.
To learn more, visit: http://www.snaplogic.com/snapreduce
"Hadoop: What we've learned in 5 years", Martin Oberhuber, Senior Data Scient...Dataconomy Media
"Hadoop 2015: What we’ve learned in 5 years", Martin Oberhuber, Senior Data Scientist at ThinkBig
YouTube Link: https://www.youtube.com/watch?v=odOTsGgfzm8
Watch more from Data Natives 2015 here: http://bit.ly/1OVkK2J
Visit the conference website to learn more: www.datanatives.io
Follow Data Natives:
https://www.facebook.com/DataNatives
https://twitter.com/DataNativesConf
Stay Connected to Data Natives by Email: Subscribe to our newsletter to get the news first about Data Natives 2016: http://bit.ly/1WMJAqS
Accelerating Innovation with Unified Analytics with Ali GhodsiDatabricks
Today at the 10th Spark Summit, Databricks CEO & Co-founder revealed Databricks Serverless, a new initiative to offer serverless computing for complex data science and Apache Spark workloads. Databricks Serverless is the first product to offer a serverless API for Apache Spark, greatly simplifying and unifying data science and big data workloads for both end-users and DevOps.
DXC ESO for SAP Client Event presentationJoachim Mayer
Reduce the total cost of operations for your SAP® environment by using a cloud solution. Is the current provisioning time for your SAP® environment weeks or even months? Could your business benefit from the guarantee of an easily accessible, always-on and proactive system to protect your mission-critical operations? Join us to learn how a cloud-based solution for your SAP landscape can enhance agility and flexibility, allowing you to react to changes in customer needs and market demands, while also significantly increasing utilization of your entire SAP landscape. This demo provides an overview how the new Enterprise Solutions On Demand (ESO) for SAP offering supports digital business outcomes in an SAP environment such as: accelerate time-to-value, reduce TCO, continuous improvement as well as always-on and resilient business.
Moving to the Cloud: Modernizing Data Architecture in HealthcarePerficient, Inc.
Constant changes in the healthcare industry continue to drive innovation in technology and serve as a catalyst for cloud adoption. This trend will continue to evolve and accelerate in the coming years with the increasing need to store and analyze vast amounts of information for personal and population health initiatives.
We joined guest speaker from HIMSS Analytics, James Gaston, to discuss the impact of the cloud on data architecture in healthcare. Topics included:
-The benefits and risks of moving data and analytics environments to the cloud
-Main healthcare use cases for cloud migration
-Deep dive into two leading healthcare organizations’ cloud journeys including drivers, challenges, benefits, and lessons learned
Case study how exacta technologies improved productivity with mr peasyMRPeasy
While moving facilities and trying to orient in the pandemic, UK hi-tech server manufacturer Exacta Technologies found resources to implement a new ERP system, all on their own.
https://manufacturing-software-blog.mrpeasy.com/case.../
#casestudy #manufacturing #erpimplementation #erp #erpsoftware #erpsystem #erpsystemimplementation #exactatechnologies #mrpimplementation #mrpsoftware #mrpsystem #hightech #servers #MRPeasy
What are the the main areas of analytics and how can they benefit your business? Learn the value of SAS analytics and how you can get better insight into your data to make more profitable decisions.
By getting a better understanding of your data you will know which part of the data can be reliably forecast using time series methods and which cannot. You will also gain an understanding of any hierarchical structure in the data that can be used.
Highlights from our portfolio of AI projects including marketing, quality, portfolio, financial and insurance analytics solutions demonstrating the versatility and power of domain expertise, AI and Tableau's platform
Have you fallen for the API lie? The API economy implies everything easily connects and simply needs to be governed and managed. But do the data integration pains simply go away? Find out in this Intellyx whitepaper written by Jason Bloomberg.
Read more at https://intellyx.com/2016/08/29/the-api-lie/ and learn how SnapLogic can alleviate data integration pains at www.snaplogic.com.
Mike Tuche, CEO of Talend: Enabling the Data Driven EnterpriseTalend
See what's new in our latest version - http://www.talend.com/products
Talend Connect 2016 Keynote. Talend CEO Mike Tuchen describes how Talend is enabling the new future of the data-driven enterprise.
Past infrastructures provided compute, storage and network enabling static enterprise deployments which changed every few years. This talk will analyze the consequences of a world where production SAP and Spark clusters including data can be provisioned in minutes with the push of a button.
What does it mean for the IT architecture of an enterprise? How to stay in control in a super agile world?
Listen to the full webcast here: http://bit.ly/2fkBJle
Spot Lets NetApp Get the Most Out of the CloudNetApp
Prior to NetApp acquiring Spot.io, two of its IT teams had adopted Spot in their operations: Product Engineering for Cloud Volumes ONTAP test automation and NetApp IT for corporate business applications. Check out the results in this infographic.
Supercharging Smart Meter BIG DATA Analytics with Microsoft Azure Cloud- SRP ...Mike Rossi
Explosive growth of Smart Meter (SM) deployments has presented key infrastructure challenges across the utility industry. The huge volumes of smart meter data has led the industry to a tipping point which requires investments in modernizing existing data warehouses. Typical modernization efforts lead to huge capital expenditures for DW appliances and storage. Sizing this new infrastructure is tricky and can lead to underutilized or poorly performing hardware.
The Cloud is the catalyst to solving these Big Data challenges.
Utilizing a Cloud architecture delivers huge benefits by:
Maximizing use of existing architecture
Minimizing new CapEx expenditures
Lowering overall storage costs
Enabling scale on demand
Learn How Financial Services Organizations Can Use Big Data to Mitigate RisksMapR Technologies
Risk comes in a variety of forms including uncertainty in financial markets, legal liabilities, operational risk, fraud, and protection against external and internal attacks. Models are becoming increasingly granular and improving risk modeling is a high priority.
Review this presentation from Splunk and MapR to learn how you can study months’ or years’ worth of raw data from disparate sources, without sampling, to understand and reduce risk.
In this webinar, we talk with experts from Integration Developer News about the SnapLogic Elastic Integration Platform and adoption trends for iPaaS in the enterprise.
To learn more, visit: http://video.snaplogic.com/webinars/
Many companies recognize the use of data analytics as an opportunity to better understand their customers and gain a lead on their competition. The ability to get better insight from vast amounts of unstructured data, coming from a multitude of sources, can give businesses the advantage in an industry where even the smallest improvement can mean a big difference.
Amazon Web Services offers a range of big data, analytics and storage solutions that are used by companies such as NASDAQ, Bankinter and S&P Capital to deliver a highly secure and agile platform. Join this session and learn how it allows customers to start on a small scale but grow as their business requires, giving them the agility they need to deliver cutting edge solutions to their customers without any upfront CAPEX investment.
Webinar: The 5 Most Critical Things to Understand About Modern Data IntegrationSnapLogic
In this webinar, we talk to industry analyst, author and practitioner David Linthicum who provides a state-of-the-technology explanation of big data integration.
David also provides 5 critical and lesser known data integration requirements, how to understand today's requirements, and guidance for choosing the right approaches and technology to solve these problems.
To learn more, visit: www.snaplogic.com/big-data
Hadoop for Humans: Introducing SnapReduce 2.0SnapLogic
In this webinar, we talk about Hadoop, big data and SnapReduce 2.0 with SnapLogic Chief Scientist Greg Benson, Professor of Computer Science at the University of San Francisco. This webinar features a dive into SnapReduce, and a discussion about how SnapLogic delivers big data acquisition, better big data preparation and universal big data delivery.
To learn more, visit: http://www.snaplogic.com/snapreduce
"Hadoop: What we've learned in 5 years", Martin Oberhuber, Senior Data Scient...Dataconomy Media
"Hadoop 2015: What we’ve learned in 5 years", Martin Oberhuber, Senior Data Scientist at ThinkBig
YouTube Link: https://www.youtube.com/watch?v=odOTsGgfzm8
Watch more from Data Natives 2015 here: http://bit.ly/1OVkK2J
Visit the conference website to learn more: www.datanatives.io
Follow Data Natives:
https://www.facebook.com/DataNatives
https://twitter.com/DataNativesConf
Stay Connected to Data Natives by Email: Subscribe to our newsletter to get the news first about Data Natives 2016: http://bit.ly/1WMJAqS
Accelerating Innovation with Unified Analytics with Ali GhodsiDatabricks
Today at the 10th Spark Summit, Databricks CEO & Co-founder revealed Databricks Serverless, a new initiative to offer serverless computing for complex data science and Apache Spark workloads. Databricks Serverless is the first product to offer a serverless API for Apache Spark, greatly simplifying and unifying data science and big data workloads for both end-users and DevOps.
DXC ESO for SAP Client Event presentationJoachim Mayer
Reduce the total cost of operations for your SAP® environment by using a cloud solution. Is the current provisioning time for your SAP® environment weeks or even months? Could your business benefit from the guarantee of an easily accessible, always-on and proactive system to protect your mission-critical operations? Join us to learn how a cloud-based solution for your SAP landscape can enhance agility and flexibility, allowing you to react to changes in customer needs and market demands, while also significantly increasing utilization of your entire SAP landscape. This demo provides an overview how the new Enterprise Solutions On Demand (ESO) for SAP offering supports digital business outcomes in an SAP environment such as: accelerate time-to-value, reduce TCO, continuous improvement as well as always-on and resilient business.
This presentation is for Analytic and Business Intelligence leads as well as IT leads who manage analytics. In addition, existing Oracle Business Intelligence and Analytic Customers will find it valuable to understand how they can leverage their existing investments along with Oracle Analytics Cloud.
CSC - Presentation at Hortonworks Booth - Strata 2014Hortonworks
Come hear about how companies are kick-starting their big data projects without having to find good people, hire them, and get IT to prioritize it to get your project off the ground. Remove risk from your project, ensure scalability , and pay for just the nodes you use in a monthly utility pricing model. Worried about Data Governance, Security, want it in the cloud, can’t have it in the cloud….eliminate the hurdles with a fully managed service backed by CSC. Get your modern data architecture up and running in as little as 30 days with the Big Data Platform As A Service offering from CSC. Computer Science Corporation is a Certified Technology Partner of Hortonworks and is a Global System Integrator with over 80,000 employees globally.
25 plus years of seasoned data professional in building, managing practices, Global Delivery in Big Data Analytics, Big Data Migration from On-premise to GCP and Azure, EDW & BI, Business analytics, SAP HANA, Predictive Analytics, Data QA, Automation of solutions, Big Data Framework & Methodologies, and Data Products Development
Introduces the Microsoft’s Data Platform for on premise and cloud. Challenges businesses are facing with data and sources of data. Understand about Evolution of Database Systems in the modern world and what business are doing with their data and what their new needs are with respect to changing industry landscapes.
Dive into the Opportunities available for businesses and industry verticals: the ones which are identified already and the ones which are not explored yet.
Understand the Microsoft’s Cloud vision and what is Microsoft’s Azure platform is offering, for Infrastructure as a Service or Platform as a Service for you to build your own offerings.
Introduce and demo some of the Real World Scenarios/Case Studies where Businesses have used the Cloud/Azure for creating New and Innovative solutions to unlock these potentials.
Achieve New Heights with Modern AnalyticsSense Corp
Businesses can leverage modern cloud platforms and practices for net-new solutions and to enhance existing capabilities, resulting in an upgrade in quality, increased speed-to-market, global deployment capability at scale, and improved cost transparency.
In this webinar, Josh Rachner, data practice lead at Sense Corp, will help prepare you for your analytics transformation and explore how to make the most on new platforms by:
Building a strong understanding of the rise, value, and direction of cloud analytics
Exploring the difference between modern and legacy systems, the Big Three technologies, and different implementation scenarios
Sharing the nine things you need to know as you reach for the clouds
You’ll leave with our pre-flight checklist to ensure your organization will achieve new heights.
MapR on Azure: Getting Value from Big Data in the Cloud -MapR Technologies
Public cloud adoption is exploding and big data technologies are rapidly becoming an important driver of this growth. According to Wikibon, big data public cloud revenue will grow from 4.4% in 2016 to 24% of all big data spend by 2026. Digital transformation initiatives are now a priority for most organizations, with data and advanced analytics at the heart of enabling this change. This is key to driving competitive advantage in every industry.
There is nothing better than a real-world customer use case to help you understand how to get value from big data in the cloud and apply the learnings to your business. Join Microsoft, MapR, and Sullexis on November 10th to:
Hear from Sullexis on the business use case and technical implementation details of one of their oil & gas customers
Understand the integration points of the MapR Platform with other Azure services and why they matter
Know how to deploy the MapR Platform on the Azure cloud and get started easily
You will also get to hear about customer use cases of the MapR Converged Data Platform on Azure in other verticals such as real estate and retail.
Speakers
Rafael Godinho
Technical Evangelist
Microsoft Azure
Tim Morgan
Managing Director
Sullexis
This session provides an introduction to the AWS platform and services. It explains how you can get started on your cloud journey and what resources you can use build sophisticated applications with increased flexibility, scalability and reliability. The session also covers the benefits customers are enjoying by moving to AWS cloud; increased agility, faster decision making and the ability to fail fast and innovate.
Organizations often struggle to select and implement big data projects that produce meaningful results.
Learning from the success and failure of other organizations will help you identify common pitfalls and get more value from your big data initiatives. A new study from 451 research takes an in-depth look into six organizations and their cloud-based big data adoption efforts.
In this webinar, we will share some of the key findings from this research and see how organizations across a variety of industries use the Cloud to drive measurable value from big data. You will learn the challenges they faced, the tools they use to address these challenges, and the benefits of using AWS Cloud to develop and deploy big data solutions.
Learning Objectives:
Hear the experiences of organizations in a variety of industries, including a mobile technology analytics platform provider; a mobile application platform provider; a financial services regulator; a technology consultancy; a marketing strategy firm; and a mainstream financial services firm
Identify some of the challenges of deploying big data solutions
Learn 5 ways the Cloud delivers value for big data users
Understand the benefits of using the AWS Cloud to develop and deploy big data solutions
Who Should Attend:
Business & technical decision makers, architects and director-level or above of development for Big Data solutions, business analysts, data scientists, VP/Directors of engineering, CIOs, CTOs
Accelerating Cloud Data Warehouse Adoption using Hexaware’s Cloud EDMAHexaware Technologies
Hexaware assessed the current data landscape for the US arm of one of the largest stock exchanges in Europe and came up with an option to build a highly scalable and agile data warehouse on cloud leveraging their Cloud EDMA platform.
Moving to the cloud in regulated environmentsKev Miller
Moving to the cloud in regulated environments - presentation by Astrix President, Dale Curtis at Lab Informatics Summit - details the process for moving from traditional premise-based lab tech to the cloud
Slides: Success Stories for Data-to-CloudDATAVERSITY
Companies are finding accessing data from a variety of sources can be labor-intensive and costly. Oftentimes these companies are looking to cloud solutions, but are then finding the traditional architecture brittle when trying to move data to the cloud, which can drain organizations of time and resources.
Join this webinar to hear several company success stories, the data-to-cloud issues they were encountering, and the steps these companies took to bring their cloud architecture to a successful, real-time analytic solution unlocking massive amounts of fresh enterprise-wide on a continuous basis.
In addition, you will learn how to:
• Modernize the ETL process to one that’s fast, flexible, and scalable
• Supply users with up-to-date, accurate, trusted data
• Increase your time to value with data in the cloud
• Best practices on how to minimize resource overhead
SendGrid Improves Email Delivery with Hybrid Data WarehousingAmazon Web Services
When you received your Uber ‘Tuesday Evening Ride Receipt’ or Spotify’s ‘This Week’s New Music’ email, did you think about how they got there?
SendGrid’s reliable email platform delivers each month over 20 Billion transactional and marketing emails on behalf of many of your favorite brands, including Uber, Airbnb, Spotify, Foursquare and NextDoor.
SendGrid was looking to evolve its data warehouse architecture in order to improve decision making and optimize customer experience. They needed a scalable and reliable architecture that would allow them to move nimbly and efficiently with a relatively small IT organization, while supporting the needs of both business and technical users at SendGrid.
SendGrid’s Director of Enterprise Data Operations will be joining architects from Amazon Web Services (AWS) and Informatica to discuss SendGrid’s journey to a hybrid cloud architecture and how a hybrid data warehousing solution is optimized to support SendGrid’s analytics initiative. Speakers will also review common technologies and use cases being deployed in hybrid cloud today, common data management challenges in hybrid cloud and best practices for addressing these challenges.
Join us to learn:
• How to evolve to a hybrid data warehouse with Amazon Redshift for scalability, agility and cost efficiency with minimal IT resources
• Hybrid cloud data management use cases
• Best practices for addressing hybrid cloud data management challenges
Insights into Real World Data Management ChallengesDataWorks Summit
Data is your most valuable business asset and it's also your biggest challenge. This challenge and opportunity means we continually face significant road blocks toward becoming a data driven organisation. From the management of data, to the bubbling open source frameworks, the limited industry skills to surmounting time and cost pressures, our challenge in data is big.
We all want and need a “fit for purpose” approach to management of data, especially Big Data, and overcoming the ongoing challenges around the ‘3Vs’ means we get to focus on the most important V - ‘Value’.Come along and join the discussion on how Oracle Big Data Cloud provides Value in the management of data and supports your move toward becoming a data driven organisation.
Speaker
Noble Raveendran, Principal Consultant, Oracle
Migrating Thousands of Workloads to AWS at Enterprise Scale – Chris Wegmann, ...Amazon Web Services
At the end of this session participants will learn how to assess their enterprise application portfolio and move thousands of instances to AWS in a quick and repeatable fashion. Migrating workloads to AWS in an enterprise environment is not easy, but with the right approach, an enterprise sized organization can migrate thousands of instances to AWS quickly and cost effectively to ensure a strong ROI.
While many enterprises consider cloud computing the savior of their data strategy, there is a process they should be following when looking to leveraging database-as-a-service. This includes understanding their own data requirements, selecting the right cloud computing candidate, and then planning for the migration and operations. A huge number of issues and obstacles will inevitably arise, but fortunately best practices are emerging. This presentation will take you through the process of moving data to cloud computing providers.
Similar to Section 3_ARS IT Expansion Project Plan Presentation (20)
Section 3_ARS IT Expansion Project Plan Presentation
1. ARS IT Expansion Project Plan
Paul D. Robinson,CIO |Administrative Response Systems
2. Project Description
Administrative Response Systems (ARS) is a $25M data collection
and analysis company that was established in March 2013. Our office
headquarters is inTech City. Our primary service is to generate and
sell specialized data regarding current administrative hiring analyses
to paying clients.
We are expected to grow by 60% over the next eighteen (18) months
and expand into the upper two floors of the office building within six
(6) months. This project will result in a complete modification of our
current IT infrastructure which needs to be significantly enhanced or
replaced to handle the potential influx of new business.
3. Project Scope
Strategies for incorporating the following areas into the overall process:
Applications
Oracle Analytics Cloud
Google Analytics / Open Web Analytics / KISSmetrics
Oracle Database 12C
Customization: LAN and components
Architecture: Installation and use of new high-capacity data warehouse server
Funding: Guarantee Equity Bank (50% of budget)
Training: Offered to all staff for all key applications
4. Objectives
Address the current and anticipated business needs of ARS and its customer base
Design, deliver and implement a unfailing solution within six (6) months
Absorb a 60% company growth expected over the next 18-24 months
Implement on-site using the most reliable and cost-effective methods available
Utilize the best applicable data security methods
Adopt Cloud Computing and Analytics-as-a-Service (AaaS) tools in combination with
operational systems data
Expand the office into a total of three (3) floors and increase staff by ten (10) persons
5. Deliverables
Deliverable Description
Data Warehouse Aquisition of a new high-capacity Oracle Exadata data
warehouse machine
Business Intelligence (BI) Operational Data Store Use of BI analysis tools (Oracle Analytics Cloud, Google
Analytics, OpenWeb Analytics, KISSmetrics)
Cloud Computing Utilization of customized hybrid cloud featuring Oracle
Cloud, our data store and data warehouse
Cloud Capacity Management Implementation of Computing Management Plan
Data Security Implementation of ARS Information Security Policy
(ARS-ISP)
Staff Growth Recruiting and on-boarding of ten (10) new employees
Office Space Expansion Configuration and migration of staff to next two higher
floors in building
6. Success Factors
Satisfied clients, employees and stakeholders
Met project objectives
Completed within budget
Delivered on time
7. CompetitiveAdvantage
Business Intelligence (BI)
Clearer, more definite decisions
Precise goals in line with mission and customer expectations
Cloud Computing
Enhances BI
Avoid expensive infrastructure . . . pay-as-you-go basis
Speed to Effectiveness
Acquire New Operations, New Business Quickly
Better Interactions with Customers
8. Resources
Solution Vendor
Data warehouse and DBMS Oracle
Office space configuration National Office Suppliers
Desktop and mobile telephones AT&T
PCs and printers Dell
Copier leasing Office Systems & Service Co.
Technical staffing Adecco
Network installation Corporate Network Services
10. 2015
Today
Jan Feb Mar Apr May Jun Jul Aug Sep
Determine company needs
Jan 26
Determine budget
Feb 27
Expected approval of project solution
May 22
Recruit new staff
May 22
Determine needs for new
upper floor workspace
Sep 29
Feb 13 - Feb 270%Approval of project budget
May 4 - May 220%Approval of the new computing management strategy
Mar 16 - Apr 150%Approval of the ARS-ISP
May 18 - May 290%Approval of the network physical and logical topologies
May 4 - Sep 250%Approval, purchase and use of Oracle Cloud and KISSmetrics
May 4 - Sep 250%
Approval of the
software that
forms the DB
May 4 - Jun 50%Approval and purchase of the DW
May 4 - May 290%Approval and purchase of the DBMS
Jul 6 - Sep 250%
Installation of
the new
network logical
components
May 4 - Jun 50%Installation of the database, DBMS and BI tools
Jul 6 - Sep 250%Testing and updating the hardware and software as needed
Project Schedule and Milestones