1) Healthcare organizations face challenges with leveraging the large amount of unstructured clinical data due to inconsistent structures, multiple data silos, and traditional technologies like ETL being costly and time-consuming.
2) The MarkLogic Data Hub provides an operational data platform that can ingest and harmonize structured and unstructured data in real-time to enable various applications and analytics at lower costs compared to traditional approaches.
3) Popular healthcare projects using the Data Hub include enterprise data hubs, data integration for government programs, dynamic content delivery, trade processing, and initiatives related to data governance, apps, mergers and acquisitions, customer engagement, payment reform, and quality outcomes.
Watch this recorded webinar by Richard Mallah, Director of Advanced Analytics, to learn more about advancements in Text Analytics and how our Anzo Unstructured platform helps marry unstructured text with structured data from a wide variety of sources, allowing our customers to gain significant insights and competitive advantage by more easily and efficiently extracting meaning and value from the documents and the data.
Transforming Data Management and Time to Insight with Anzo Smart Data Lake®Cambridge Semantics
This webinar is targeted to Federal Government CIOs and
staff that are researching enterprise data management and
mining tools to help them understand how Smart Data Lakes
enable a viable mechanism for addressing their top priorities.
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...Cambridge Semantics
Only with a rich and interactive semantic layer can your data and analytics stack deliver true on-demand access to data, answers and insights - weaving data together from across the enterprise into an information fabric. In this webinar we introduce Anzo Smart Data Lake 4.0, which provides that rich and interactive semantic layer to your data.
Supporting Data Services Marketplace using Data VirtualizationDenodo
Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation, you will see how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without effecting business users.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/PZ2uFj.
Accelerating Insight - Smart Data Lake Customer Success StoriesCambridge Semantics
At Gartner Data & Analytics Summit 2017 Alok Prasad, President, was joined by Peter Horowitz of PricewaterhouseCoopers in presenting a session on how Cambridge Semantics' in-memory, massively parallel, semantic graph-based platform delivers an accelerating edge to data-driven organizations, while maintaining trust with security and governance.
In their webinar "Big Data Fabric 2.0 Drives Data Democratization" Ben Szekley, Cambridge Semantics’ SVP of Field Operations, and guest speaker, Forrester’s Noel Yuhanna, author of the Forrester report: “Big Data Fabric 2.0 Drives Data Democratization”, explored why data-driven businesses are making a big data fabric part of their data strategy to minimize data complexity, integrate siloed data, deliver real-time trusted insights, and to create new business opportunities. These are the slides from that webinar.
From Data Lakes to the Data Fabric: Our Vision for Digital StrategyCambridge Semantics
In this presentation for Strata NY 2018, we share our vision for digital innovation as a shift to something powerful, expedient and future-proof. This is accomplished through the use of a 'Data Fabric'. Utilizing graph technology, this Data Fabric connects enterprise data in an overlay fashion that does not disrupt current investments for unprecedented access to data. This interconnected and reliable data can then be used to automate scalable AI and ML efforts to improve business outcomes.
Watch this recorded webinar by Richard Mallah, Director of Advanced Analytics, to learn more about advancements in Text Analytics and how our Anzo Unstructured platform helps marry unstructured text with structured data from a wide variety of sources, allowing our customers to gain significant insights and competitive advantage by more easily and efficiently extracting meaning and value from the documents and the data.
Transforming Data Management and Time to Insight with Anzo Smart Data Lake®Cambridge Semantics
This webinar is targeted to Federal Government CIOs and
staff that are researching enterprise data management and
mining tools to help them understand how Smart Data Lakes
enable a viable mechanism for addressing their top priorities.
Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Informatio...Cambridge Semantics
Only with a rich and interactive semantic layer can your data and analytics stack deliver true on-demand access to data, answers and insights - weaving data together from across the enterprise into an information fabric. In this webinar we introduce Anzo Smart Data Lake 4.0, which provides that rich and interactive semantic layer to your data.
Supporting Data Services Marketplace using Data VirtualizationDenodo
Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation, you will see how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without effecting business users.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/PZ2uFj.
Accelerating Insight - Smart Data Lake Customer Success StoriesCambridge Semantics
At Gartner Data & Analytics Summit 2017 Alok Prasad, President, was joined by Peter Horowitz of PricewaterhouseCoopers in presenting a session on how Cambridge Semantics' in-memory, massively parallel, semantic graph-based platform delivers an accelerating edge to data-driven organizations, while maintaining trust with security and governance.
In their webinar "Big Data Fabric 2.0 Drives Data Democratization" Ben Szekley, Cambridge Semantics’ SVP of Field Operations, and guest speaker, Forrester’s Noel Yuhanna, author of the Forrester report: “Big Data Fabric 2.0 Drives Data Democratization”, explored why data-driven businesses are making a big data fabric part of their data strategy to minimize data complexity, integrate siloed data, deliver real-time trusted insights, and to create new business opportunities. These are the slides from that webinar.
From Data Lakes to the Data Fabric: Our Vision for Digital StrategyCambridge Semantics
In this presentation for Strata NY 2018, we share our vision for digital innovation as a shift to something powerful, expedient and future-proof. This is accomplished through the use of a 'Data Fabric'. Utilizing graph technology, this Data Fabric connects enterprise data in an overlay fashion that does not disrupt current investments for unprecedented access to data. This interconnected and reliable data can then be used to automate scalable AI and ML efforts to improve business outcomes.
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
Using Cloud Automation Technologies to Deliver an Enterprise Data FabricCambridge Semantics
The world of database management is changing. Cloud adoption is accelerating, offering a path for companies to increase their database capabilities while keeping costs in line. To help IT decision-makers survive and thrive in the cloud era, DBTA hosted this special roundtable webinar.
Retail banks are moving beyond the data warehouse and data lake and are now implementing data fabric architectures to address data discovery and integration challenges.
These are the slides from our webinar "Modern Data Discovery and Integration in Retail Banking" in which we explore the role of the data discovery and integration layer in a data fabric with special focus on evolution from data warehouse to data fabric, semantics and graph data models in data fabric and example use cases in retail banks and B2C financial services.
Graph technology has truly burst onto the scene with diverse new products and services, proving that graph is relevant and that not all graph use cases are equal. Previously relegated to niche implementations and science projects, graph now finds itself deployed as the foundational technology for enterprise analytics solutions and enterprise Data Fabric strategies. It is no surprise that many are calling 2018 “The Year of the Graph”.
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricCambridge Semantics
Watch this webinar to learn about the benefits of using semantic and graph database technology to create a Data Catalog of all of an enterprise's data, regardless of source or format, as part of a modern IT or data management stack and an important step toward building an Enterprise Data Fabric.
A data lake promises cheap storage and ubiquitous access for all of your enterprise data. However, most organizations are struggling to make sense of the data in the lake. How do you harmonize, add meaning, govern, secure and offer business self-service to your data lake? You build a Smart Data Lake.
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.
How can organizations give up the keys to data systems without creating data anarchy? The answer lies in Smart Data Lakes™. Learn how Smart Data Lakes are being used to design contextual data platforms for deeper insights and problem solving, responsibly and effectively introduce self-service independence from IT, put subject matter expertise to work overcoming volume and variety challenges and enable a backbone of collaboration and sharing to improve data and insights.
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas.
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
Data Lakehouse Symposium | Day 1 | Part 1Databricks
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
Watch full webinar here: https://bit.ly/2N1Ndz9
How is a logical data fabric different from a physical data fabric? What are the advantages of one type of fabric over the other? Attend this session to firm up your understanding of a logical data fabric.
Accelerate Digital Transformation with an Enterprise Big Data FabricCambridge Semantics
In this webinar by Cambridge Semantics' VP of Solution Engineering, Ben Szekely, you will learn more about how the Enterprise Data Fabric prevails as the bedrock of enterprise digital strategy. Connected and highly available data is the new normal - powering analytics and AI. The data lake itself is commoditized, like raw compute or disk, and becomes an unseen part of the stack. Semantic graph technology is central to Data Fabric initiatives that meaningfully contribute to digital transformation.
We share our vision for digital innovation - a shift to something powerful, expedient and future-proof. The Data Fabric connects enterprise data for unprecedented access in an overlay fashion that does not disrupt current investments. Interconnected and reliable data drives business outcomes by automating scalable AI and ML efforts. Graph technology is the way forward to realize this future.
You Need a Data Catalog. Do You Know Why?Precisely
Data catalog has become a more popular discussion topic within data management and data governance circles. “What is it?” and “Do I need one?” are two common questions; along with “How does a catalog relate to and support the data governance program?”
The data catalog plays a key role in the governance process; How well information can be managed, aligned to business objectives and monetized depends in great part to what you know about your data.
In this webinar you will learn about:
- The role of the data catalog
- What kinds of information should be in your data catalog
- Those catalog items that can be harvested systemically versus those that require stewardship involvement
- The role of the catalog in your data quality program
We hope you’ll join this on-demand webinar and learn how a data catalog should be part of your governance and data quality program!
Building trust in your data lake. A fintech case study on automated data disc...DataWorks Summit
This talk talks through learning from the HDP implementation at G-Research, a leading Fin-Tech company based in London.
The team at G-Research implemented the Hortonworks Data Platform to build a data lake and
enable the business team to build analytics and machine learning tools. The team faced challenges
to accurately control and manage any sensitive data. Business teams were not able to search
through data due to lack of data classification.
G-Research implemented Privacera auto-discovery solution to precisely discover and tag data
as it is ingested into the HDP environment. The tags are pushed to Apache Atlas and then
Apache Ranger for enabling tag based policies. The G-Research team also build custom tools to push Spark lineage
information into Atlas. Finally, Privacera monitoring tools continuously analyzed access audit information to
alert if sensitive data is moved to folders that might not be protected.
Consequently, security team got real visibility into the sensitive data. Also, business users could
search and find the data within appropriate data classification in place.
Speakers
Balaji Ganesan, Co-Founder and CEO, Privacera
Alberto Romero, Big Data Architect, G-Research
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...Denodo
Watch full webinar here: https://bit.ly/3mfFJqb
Presented at Chief Data Officer Live Series 2021, ASEAN (August Edition)
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best-of-breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform, and provide real-time data integration while delivering a self-service data platform to business users.
Watch this on-demand session to learn how big data fabric enabled by Data Virtualization:
- Provides lightning fast self-service data access to business users
- Centralizes data security, governance, and data privacy
- Fulfills the promise of data lakes to provide actionable insights
GoDaddy Customer Success Dashboard Using Apache Spark with Baburao KambleDatabricks
GoDaddy powers the world’s largest cloud platform dedicated to small, independent ventures. With more than 14 million customers worldwide and more than 63 million domain names under management, GoDaddy is the place people come to name their idea, build a professional website, attract customers and manage their work. At GoDaddy, the Advanced Analytics team developed the Apache Spark-based Customer Success Dashboard to help customer and marketing teams. It is a product of the Apache Spark-based analytics and ETL pipelines to get the insights of the customer data collected from Internet, machine logs and communication like voice and text.
In this session, GoDaddy will discuss how Apache Spark is used as a distributed framework that they build their own algorithms on top of to generate features for Customer Success Dashboard recommendations for each of their 14 million customers. Learn about specific techniques they use at GoDaddy to scale, and the various pitfalls they’ve found along the way.
"Big data" is a broad term that encompasses a wide range of data and contents. Big data offers new approaches to analysis and decision making. At first glance big data and IP may seem to be opposites, but have more in common than one may think. This talk will focus on how big data will impact, and be impacted, by IP. One of the biggest promises in big data is the possibility to re-use data produced via different sources, create new services or predict the future, via the analysis of correlations. In this context, how can companies protect information assets and analytical skills? What are the new skills required to search and analyze in real time a big amount of datasets ? Big data will change not only patents information, but will also generate new types of patents.
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
Using Cloud Automation Technologies to Deliver an Enterprise Data FabricCambridge Semantics
The world of database management is changing. Cloud adoption is accelerating, offering a path for companies to increase their database capabilities while keeping costs in line. To help IT decision-makers survive and thrive in the cloud era, DBTA hosted this special roundtable webinar.
Retail banks are moving beyond the data warehouse and data lake and are now implementing data fabric architectures to address data discovery and integration challenges.
These are the slides from our webinar "Modern Data Discovery and Integration in Retail Banking" in which we explore the role of the data discovery and integration layer in a data fabric with special focus on evolution from data warehouse to data fabric, semantics and graph data models in data fabric and example use cases in retail banks and B2C financial services.
Graph technology has truly burst onto the scene with diverse new products and services, proving that graph is relevant and that not all graph use cases are equal. Previously relegated to niche implementations and science projects, graph now finds itself deployed as the foundational technology for enterprise analytics solutions and enterprise Data Fabric strategies. It is no surprise that many are calling 2018 “The Year of the Graph”.
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricCambridge Semantics
Watch this webinar to learn about the benefits of using semantic and graph database technology to create a Data Catalog of all of an enterprise's data, regardless of source or format, as part of a modern IT or data management stack and an important step toward building an Enterprise Data Fabric.
A data lake promises cheap storage and ubiquitous access for all of your enterprise data. However, most organizations are struggling to make sense of the data in the lake. How do you harmonize, add meaning, govern, secure and offer business self-service to your data lake? You build a Smart Data Lake.
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.
How can organizations give up the keys to data systems without creating data anarchy? The answer lies in Smart Data Lakes™. Learn how Smart Data Lakes are being used to design contextual data platforms for deeper insights and problem solving, responsibly and effectively introduce self-service independence from IT, put subject matter expertise to work overcoming volume and variety challenges and enable a backbone of collaboration and sharing to improve data and insights.
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas.
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
Data Lakehouse Symposium | Day 1 | Part 1Databricks
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
Watch full webinar here: https://bit.ly/2N1Ndz9
How is a logical data fabric different from a physical data fabric? What are the advantages of one type of fabric over the other? Attend this session to firm up your understanding of a logical data fabric.
Accelerate Digital Transformation with an Enterprise Big Data FabricCambridge Semantics
In this webinar by Cambridge Semantics' VP of Solution Engineering, Ben Szekely, you will learn more about how the Enterprise Data Fabric prevails as the bedrock of enterprise digital strategy. Connected and highly available data is the new normal - powering analytics and AI. The data lake itself is commoditized, like raw compute or disk, and becomes an unseen part of the stack. Semantic graph technology is central to Data Fabric initiatives that meaningfully contribute to digital transformation.
We share our vision for digital innovation - a shift to something powerful, expedient and future-proof. The Data Fabric connects enterprise data for unprecedented access in an overlay fashion that does not disrupt current investments. Interconnected and reliable data drives business outcomes by automating scalable AI and ML efforts. Graph technology is the way forward to realize this future.
You Need a Data Catalog. Do You Know Why?Precisely
Data catalog has become a more popular discussion topic within data management and data governance circles. “What is it?” and “Do I need one?” are two common questions; along with “How does a catalog relate to and support the data governance program?”
The data catalog plays a key role in the governance process; How well information can be managed, aligned to business objectives and monetized depends in great part to what you know about your data.
In this webinar you will learn about:
- The role of the data catalog
- What kinds of information should be in your data catalog
- Those catalog items that can be harvested systemically versus those that require stewardship involvement
- The role of the catalog in your data quality program
We hope you’ll join this on-demand webinar and learn how a data catalog should be part of your governance and data quality program!
Building trust in your data lake. A fintech case study on automated data disc...DataWorks Summit
This talk talks through learning from the HDP implementation at G-Research, a leading Fin-Tech company based in London.
The team at G-Research implemented the Hortonworks Data Platform to build a data lake and
enable the business team to build analytics and machine learning tools. The team faced challenges
to accurately control and manage any sensitive data. Business teams were not able to search
through data due to lack of data classification.
G-Research implemented Privacera auto-discovery solution to precisely discover and tag data
as it is ingested into the HDP environment. The tags are pushed to Apache Atlas and then
Apache Ranger for enabling tag based policies. The G-Research team also build custom tools to push Spark lineage
information into Atlas. Finally, Privacera monitoring tools continuously analyzed access audit information to
alert if sensitive data is moved to folders that might not be protected.
Consequently, security team got real visibility into the sensitive data. Also, business users could
search and find the data within appropriate data classification in place.
Speakers
Balaji Ganesan, Co-Founder and CEO, Privacera
Alberto Romero, Big Data Architect, G-Research
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...Denodo
Watch full webinar here: https://bit.ly/3mfFJqb
Presented at Chief Data Officer Live Series 2021, ASEAN (August Edition)
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best-of-breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform, and provide real-time data integration while delivering a self-service data platform to business users.
Watch this on-demand session to learn how big data fabric enabled by Data Virtualization:
- Provides lightning fast self-service data access to business users
- Centralizes data security, governance, and data privacy
- Fulfills the promise of data lakes to provide actionable insights
GoDaddy Customer Success Dashboard Using Apache Spark with Baburao KambleDatabricks
GoDaddy powers the world’s largest cloud platform dedicated to small, independent ventures. With more than 14 million customers worldwide and more than 63 million domain names under management, GoDaddy is the place people come to name their idea, build a professional website, attract customers and manage their work. At GoDaddy, the Advanced Analytics team developed the Apache Spark-based Customer Success Dashboard to help customer and marketing teams. It is a product of the Apache Spark-based analytics and ETL pipelines to get the insights of the customer data collected from Internet, machine logs and communication like voice and text.
In this session, GoDaddy will discuss how Apache Spark is used as a distributed framework that they build their own algorithms on top of to generate features for Customer Success Dashboard recommendations for each of their 14 million customers. Learn about specific techniques they use at GoDaddy to scale, and the various pitfalls they’ve found along the way.
"Big data" is a broad term that encompasses a wide range of data and contents. Big data offers new approaches to analysis and decision making. At first glance big data and IP may seem to be opposites, but have more in common than one may think. This talk will focus on how big data will impact, and be impacted, by IP. One of the biggest promises in big data is the possibility to re-use data produced via different sources, create new services or predict the future, via the analysis of correlations. In this context, how can companies protect information assets and analytical skills? What are the new skills required to search and analyze in real time a big amount of datasets ? Big data will change not only patents information, but will also generate new types of patents.
The Future of Headlines? You'll Never Believe How People Reacted to ClickbaitKatie Steiner
Amid an almost limitless amount of news options, more news organizations are turning to “clickbait” headlines in an attempt to entice and engage audiences. But how do audiences really feel about these headlines? In this presentation from the American Copy Editors Society's annual conference, the Engaging News Project share findings from testing whether headlines written using varying levels of uncertainty prompt different reactions.
What’s the problem? The data is in silos. Business and IT are both demanding a unified view of data to help provide solutions to today’s business challenges, but you can’t use the tools and technologies that created the problem to solve the problem. Enter the Multi-Model database. In this session John Biedebach introduces a trusted and secure approach to data integration using Multi-Model databases. The data we want to integrate has already been modeled, so we’ll discuss how to load information as-is into a Multi-Model database to leverage the models that already exist in the data. We’ll then apply our own models to our data in place to rapidly deliver answers to business questions while providing value from harmonized information directly to consumers. We’ll also discuss the characteristics of a Multi-Model database and the benefits of a Multi-Model approach, including:
How to get unified views across disparate data models and formats within a single database
The benefits of a single product vs multi-product Multi-Model approach to data integration
The importance of agility in data access and delivery through APIs, interfaces, and indexes
How to scale a multi-model database while still providing ACID capabilities and security
How to determine where a multi-model database fits in your existing architecture
Modern Data Management for Federal ModernizationDenodo
Watch full webinar here: https://bit.ly/2QaVfE7
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
Enterprise Archiving with Apache Hadoop Featuring the 2015 Gartner Magic Quad...LindaWatson19
Read how Solix leverages the Apache Hadoop big data platform to provide low cost, bulk data storage for Enterprise Archiving. The Solix Big Data Suite provides a unified archive for both structured and unstructured data and provides an Information Lifecycle Management (ILM) continuum to reduce costs, ensure enterprise applications are operating at peak performance and manage governance, risk and compliance.
Insights into Real-world Data Management ChallengesDataWorks Summit
Oracle began with the belief that the foundation of IT was managing information. The Oracle Cloud Platform for Big Data is a natural extension of our belief in the power of data. Oracle’s Integrated Cloud is one cloud for the entire business, meeting everyone’s needs. It’s about Connecting people to information through tools which help you combine and aggregate data from any source.
This session will explore how organizations can transition to the cloud by delivering fully managed and elastic Hadoop and Real-time Streaming cloud services to built robust offerings that provide measurable value to the business. We will explore key data management trends and dive deeper into pain points we are hearing about from our customer base.
Verizon Centralizes Data into a Data Lake in Real Time for AnalyticsDataWorks Summit
Verizon – Global Technology Services (GTS) was challenged by a multi-tier, labor-intensive process when trying to migrate data from disparate sources into a data lake to create financial reports and business insights. Join this session to learn more about how Verizon:
• Easily accessed data from multiple sources including SAP data
• Ingested data into major targets including Hadoop
• Achieved real-time insights from data leveraging change data capture (CDC) technology
• Reduced costs and labor
Fast Data Strategy Houston Roadshow PresentationDenodo
Fast Data Strategy Houston Roadshow focused on the next industrial revolution on the horizon, driven by the application of big data, IoT and Cloud technologies.
• Denodo’s innovative customer, Anadarko, elaborated on how data virtualization serves as the key component in their prescriptive and predictive analytics initiatives, driven by multi-structured data ranging from customer data to equipment data.
• Denodo’s session, Unleashing the Power of Data, described the complexity of the modern data ecosystem and how to overcome challenges and successfully harness insights.
• Our Partner Noah Consulting, an expert analytics solutions provider in the energy industry, explained how your peers are innovating using new business models and reducing cost in areas such as Asset Management and Operations by leveraging Data Virtualization and Prescriptive and Predictive Analytics.
For more information on upcoming roadshows near you, follow this link: https://goo.gl/WBDHiE
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
Data Driven Advanced Analytics using Denodo Platform on AWSDenodo
Watch full webinar here: https://buff.ly/3JC8gCS
Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.
Watch this session to learn:
- How various AWS services (Redshift, S3, RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF)
- How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users.
- How governed Data Services layer enables self-service analytics in your complex AWS data landscape
Metadata has the potential to impact nearly every part of your enterprise. From helping you connect data across business processes to holding the key to your most valuable assets, this underdog data is finally getting the attention it deserves.
But, according to a Dataversity report on Metadata, nearly a third of organizations have only begun to address managing this valuable data and a quarter have no metadata strategy at all.
Part of what has held organizations back is that metadata is notoriously sneaky data to manage, and even more difficult to put into action using traditional relational database technology.
This webinar will look at the critical importance of metadata and highlight mission critical metadata apps that have taken a new approach with enterprise NoSQL technology and semantic data models.
Organizations including commercial entities, intelligence agencies, and some of your favorite entertainment companies using this approach have made good on the promise of metadata, and this webinar will cover how you can make metadata the hero in your organization.
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Denodo
This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies.
In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.
Data Virtualization. An Introduction (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uiXVoC
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Watch on-demand this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise? Where does it fit..?
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016StampedeCon
This session will detail best practices for architecting, building, operating and managing an Analytics Data Lake platform. Key topics will include:
1) Defining next-generation Data Lake architectures. The defacto standard has been commodity DAS servers with HDFS, but there are now multiple solutions aimed at separating compute and storage, virtualizing or containerizing Hadoop applications, and utilizing Hadoop compatible or embedded HDFS filesystems. This portion will explore the options available, and the pros and cons of each.
2) Data Ingest. There are many ways to load data into a Data Lake, including standardized Apache tools (Sqoop, Flume, Kafka, Storm, Spark, NiFi), standard file and object protocols (SFTP, NFS, Rest, WebHDFS), and proprietary tools (eg, Zaloni Bedrock, DataTorrent). This section will explore these options in the context of best fit to workflows; it will also look at key gaps and challenges, particularly in the areas of data formats and integration with metadata/cataloging tools.
3) Metadata & Cataloguing. One of the biggest inhibitors of successful Data Lake deployments is Data Governance, particularly in the areas of indexing, cataloguing and metadata management. It is nearly impossible to run analytics on top of a Data Lake and get meaningful & timely results without solving these problems. This portion will explore both emerging open standards (Apache Atlas, HCatalog) and proprietary tools (Cloudera Navigator, Zaloni Bedrock/Mica, Informatica Metadata Manager), and balance the pros, cons and gaps of each.
4) Security & Access Controls. Solving these challenges are key for adoption in regulatory driven industries like Healthcare & Financial Services. There are multiple Apache projects and proprietary tools to address this, but the challenge is making security and access controls consistent across the entire application and infrastructure stack, and over the data lifecycle, and being able to audit this in the face of legal challenges. This portion will explore available options and best practices.
5) Provisioning & Workflow Management. The real promise of the Data Lake is integrating Analytics workflows and tools on converged infrastructure-with shared data-and build “As A Service” oriented architectures that are oriented towards self-service data exploration and Analytics for end users. This is an emerging and immature area, but this session will explore some potential concepts, tools and options to achieve this.
This will be a moderately technical session, with the above topics being illustrated by real world examples. Attendees should have basic familiarity with Hadoop and the associated Apache projects.
Data lakes are central repositories that store large volumes of structured, unstructured, and semi-structured data. They are ideal for machine learning use cases and support SQL-based access and programmatic distributed data processing frameworks. Data lakes can store data in the same format as its source systems or transform it before storing it. They support native streaming and are best suited for storing raw data without an intended use case. Data quality and governance practices are crucial to avoid a data swamp. Data lakes enable end-users to leverage insights for improved business performance and enable advanced analytics.
Big Data and BI Tools - BI Reporting for Bay Area Startups User GroupScott Mitchell
This presentation was presented at the July 8th 2014 user group meeting for BI Reporting for Bay Area Start Ups
Content - Creation Infocepts/DWApplications
Presented by: Scott Mitchell - DWApplications
VILT - Archiving and Decommissioning with OpenText InfoArchiveVILT
OpenText InfoArchive is an application-agnostic solution, for managing information and archiving, supporting different enterprise needs of information ingestion, for all kinds of applications.
It allows for the application management cost reduction, an information governance enhancement while adding value to the business process through information re-utilization.
It provides four information ingestion methods, in order to cover the most demanding requirements on all concurrent projects, while optimizing the information source application.
With OpenText InfoArchive there is no need to go for a single approach for all archiving and decommissioning needs.
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
CRISPR-Cas9, a revolutionary gene-editing tool, holds immense potential to reshape medicine, agriculture, and our understanding of life. But like any powerful tool, it comes with ethical considerations.
Unveiling CRISPR: This naturally occurring bacterial defense system (crRNA & Cas9 protein) fights viruses. Scientists repurposed it for precise gene editing (correction, deletion, insertion) by targeting specific DNA sequences.
The Promise: CRISPR offers exciting possibilities:
Gene Therapy: Correcting genetic diseases like cystic fibrosis.
Agriculture: Engineering crops resistant to pests and harsh environments.
Research: Studying gene function to unlock new knowledge.
The Peril: Ethical concerns demand attention:
Off-target Effects: Unintended DNA edits can have unforeseen consequences.
Eugenics: Misusing CRISPR for designer babies raises social and ethical questions.
Equity: High costs could limit access to this potentially life-saving technology.
The Path Forward: Responsible development is crucial:
International Collaboration: Clear guidelines are needed for research and human trials.
Public Education: Open discussions ensure informed decisions about CRISPR.
Prioritize Safety and Ethics: Safety and ethical principles must be paramount.
CRISPR offers a powerful tool for a better future, but responsible development and addressing ethical concerns are essential. By prioritizing safety, fostering open dialogue, and ensuring equitable access, we can harness CRISPR's power for the benefit of all. (2998 characters)
Antibiotic Stewardship by Anushri Srivastava.pptxAnushriSrivastav
Stewardship is the act of taking good care of something.
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) in 2015 to fill knowledge gaps and inform strategies at all levels.
ACCORDING TO apic.org,
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
ACCORDING TO pewtrusts.org,
Antibiotic stewardship refers to efforts in doctors’ offices, hospitals, long term care facilities, and other health care settings to ensure that antibiotics are used only when necessary and appropriate
According to WHO,
Antimicrobial stewardship is a systematic approach to educate and support health care professionals to follow evidence-based guidelines for prescribing and administering antimicrobials
In 1996, John McGowan and Dale Gerding first applied the term antimicrobial stewardship, where they suggested a causal association between antimicrobial agent use and resistance. They also focused on the urgency of large-scale controlled trials of antimicrobial-use regulation employing sophisticated epidemiologic methods, molecular typing, and precise resistance mechanism analysis.
Antimicrobial Stewardship(AMS) refers to the optimal selection, dosing, and duration of antimicrobial treatment resulting in the best clinical outcome with minimal side effects to the patients and minimal impact on subsequent resistance.
According to the 2019 report, in the US, more than 2.8 million antibiotic-resistant infections occur each year, and more than 35000 people die. In addition to this, it also mentioned that 223,900 cases of Clostridoides difficile occurred in 2017, of which 12800 people died. The report did not include viruses or parasites
VISION
Being proactive
Supporting optimal animal and human health
Exploring ways to reduce overall use of antimicrobials
Using the drugs that prevent and treat disease by killing microscopic organisms in a responsible way
GOAL
to prevent the generation and spread of antimicrobial resistance (AMR). Doing so will preserve the effectiveness of these drugs in animals and humans for years to come.
being to preserve human and animal health and the effectiveness of antimicrobial medications.
to implement a multidisciplinary approach in assembling a stewardship team to include an infectious disease physician, a clinical pharmacist with infectious diseases training, infection preventionist, and a close collaboration with the staff in the clinical microbiology laboratory
to prevent antimicrobial overuse, misuse and abuse.
to minimize the developme
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
This conference will delve into the intricate intersections between mental health, legal frameworks, and the prison system in Bolivia. It aims to provide a comprehensive overview of the current challenges faced by mental health professionals working within the legislative and correctional landscapes. Topics of discussion will include the prevalence and impact of mental health issues among the incarcerated population, the effectiveness of existing mental health policies and legislation, and potential reforms to enhance the mental health support system within prisons.
Health Education on prevention of hypertensionRadhika kulvi
Hypertension is a chronic condition of concern due to its role in the causation of coronary heart diseases. Hypertension is a worldwide epidemic and important risk factor for coronary artery disease, stroke and renal diseases. Blood pressure is the force exerted by the blood against the walls of the blood vessels and is sufficient to maintain tissue perfusion during activity and rest. Hypertension is sustained elevation of BP. In adults, HTN exists when systolic blood pressure is equal to or greater than 140mmHg or diastolic BP is equal to or greater than 90mmHg. The
Telehealth Psychology Building Trust with Clients.pptxThe Harvest Clinic
Telehealth psychology is a digital approach that offers psychological services and mental health care to clients remotely, using technologies like video conferencing, phone calls, text messaging, and mobile apps for communication.
Defecation
Normal defecation begins with movement in the left colon, moving stool toward the anus. When stool reaches the rectum, the distention causes relaxation of the internal sphincter and an awareness of the need to defecate. At the time of defecation, the external sphincter relaxes, and abdominal muscles contract, increasing intrarectal pressure and forcing the stool out
The Valsalva maneuver exerts pressure to expel faeces through a voluntary contraction of the abdominal muscles while maintaining forced expiration against a closed airway. Patients with cardiovascular disease, glaucoma, increased intracranial pressure, or a new surgical wound are at greater risk for cardiac dysrhythmias and elevated blood pressure with the Valsalva maneuver and need to avoid straining to pass the stool.
Normal defecation is painless, resulting in passage of soft, formed stool
CONSTIPATION
Constipation is a symptom, not a disease. Improper diet, reduced fluid intake, lack of exercise, and certain medications can cause constipation. For example, patients receiving opiates for pain after surgery often require a stool softener or laxative to prevent constipation. The signs of constipation include infrequent bowel movements (less than every 3 days), difficulty passing stools, excessive straining, inability to defecate at will, and hard feaces
IMPACTION
Fecal impaction results from unrelieved constipation. It is a collection of hardened feces wedged in the rectum that a person cannot expel. In cases of severe impaction the mass extends up into the sigmoid colon.
DIARRHEA
Diarrhea is an increase in the number of stools and the passage of liquid, unformed feces. It is associated with disorders affecting digestion, absorption, and secretion in the GI tract. Intestinal contents pass through the small and large intestine too quickly to allow for the usual absorption of fluid and nutrients. Irritation within the colon results in increased mucus secretion. As a result, feces become watery, and the patient is unable to control the urge to defecate. Normally an anal bag is safe and effective in long-term treatment of patients with fecal incontinence at home, in hospice, or in the hospital. Fecal incontinence is expensive and a potentially dangerous condition in terms of contamination and risk of skin ulceration
HEMORRHOIDS
Hemorrhoids are dilated, engorged veins in the lining of the rectum. They are either external or internal.
FLATULENCE
As gas accumulates in the lumen of the intestines, the bowel wall stretches and distends (flatulence). It is a common cause of abdominal fullness, pain, and cramping. Normally intestinal gas escapes through the mouth (belching) or the anus (passing of flatus)
FECAL INCONTINENCE
Fecal incontinence is the inability to control passage of feces and gas from the anus. Incontinence harms a patient’s body image
PREPARATION AND GIVING OF LAXATIVESACCORDING TO POTTER AND PERRY,
An enema is the instillation of a solution into the rectum and sig
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.
Explore our infographic on 'Essential Metrics for Palliative Care Management' which highlights key performance indicators crucial for enhancing the quality and efficiency of palliative care services.
This visual guide breaks down important metrics across four categories: Patient-Centered Metrics, Care Efficiency Metrics, Quality of Life Metrics, and Staff Metrics. Each section is designed to help healthcare professionals monitor and improve care delivery for patients facing serious illnesses. Understand how to implement these metrics in your palliative care practices for better outcomes and higher satisfaction levels.
The Importance of Community Nursing Care.pdfAD Healthcare
NDIS and Community 24/7 Nursing Care is a specific type of support that may be provided under the NDIS for individuals with complex medical needs who require ongoing nursing care in a community setting, such as their home or a supported accommodation facility.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
How many patients does case series should have In comparison to case reports.pdfpubrica101
Pubrica’s team of researchers and writers create scientific and medical research articles, which may be important resources for authors and practitioners. Pubrica medical writers assist you in creating and revising the introduction by alerting the reader to gaps in the chosen study subject. Our professionals understand the order in which the hypothesis topic is followed by the broad subject, the issue, and the backdrop.
https://pubrica.com/academy/case-study-or-series/how-many-patients-does-case-series-should-have-in-comparison-to-case-reports/
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
