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Apache Spark and data virtualization enables us to extract data from heterogeneous data sources, integrate and process that data, and make it available for a wide range of reporting and analytics tools. Business Apache Spark applications Data Data integration Data Sources data virtualization database hadoop Salesforce SAP SQL MORE
This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses. Integration has to support the continuum of data velocities starting from batch all the way to continuous streams. MORE
Business BI BI Tools Coronavirus Data integration data virtualization health care servicesJust when we feel smug about having found cures to innumerable diseases, along comes a new kind of a disease, such as the Coronavirus, that humbles us. MORE
Starting points are concrete applications for optimizing existing core processes, such as increasing the speed and quality of forecasts and predictions, improving the integration of planning or identifying important business drivers in performance management. MORE
One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions. More data, more problems. The marketing team wants a database to store marketing data? Better data builds better businesses. MORE
I don't normally do this, but I'm going to quote the entire first paragraph of the "Context" section of Gartner's Magic Quadrant for Data Integration Tools. Download the report here. read more MORE
Analytics Business Intelligence Collaboration Data Integration Data Management Data Preparation DomoDomopalooza 2019 marked the first annual user conference after Domo went public, but the energy, excitement and new feature announcements have not slowed. MORE
Big Data embedded analytics Analytics Data Integration Data Management Information Builders IOT Streaming Data MORE
Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. That’s time needed and better used for data analysis. MORE
The consolidation of data and integration of systems is essential to providing a holistic 360-degree view of patients and members. One organization that understands the challenges associated with bringing data together across a large number of hospitals is Mayo Clinic. The implementation and integration of the system at its network of hospitals and clinics are estimated to cost $1.5 MORE
Ideas Real Cases Cloud Data Analysis Data Catalog Data integration data virtualization Denodo Platform TelecommunicationsIf telecommunications subscribers are not happy with their providers, they can easily switch. MORE
BI & Analytics Artificial Intelligence Data Integration Digital Transformation Automation Bots RPA UiPathby Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork. MORE
The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. We hope it will bring some clarity to the topic and will help you get a better understanding of what it takes to craft a knowledge graph the semantic data modeling way. MORE
Ideas analytics big data Data integration data scientist data virtualization Denodo Platform MORE
In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked: What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space? There are three trends that I believe are fundamentally changing the world of data. MORE
In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In this Big Data world, a major goal for businesses is to maximize the value of all their customer data. MORE
This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center. Big Data Data Science alteryx Machine Learning Data Integration Data Management Alteryx Inspire MORE
Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges MORE
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. MORE
The star of SnowflakeDB keeps rising. MORE
I t is interesting to see that data integration between on-premises and cloud applications is ranked an equally important use case across all company sizes while data integration between cloud applications becomes more important the smaller the company is. MORE
If you do a general internet search for data catalogs, all sorts of possibilities emerge. If you look closely, and ask a lot of questions, you will find that some of these products are not actually fully functional data catalogs at all. MORE
Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured. MORE
In this blog, we’re going to focus on healthcare and examine how a healthcare provider gave a more personalized experience for patients by integrating data processes in the cloud. Integrating data in the cloud. MORE
erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. How to automate data mapping. MORE
Information Builders, a leader in business intelligence (BI) and analytics, information integrity, and integration solutions, today announced that it is positioned as a Visionary in Gartner Inc.s Magic Quadrant for Data Integration Tools. MORE
Integration. In many cases, the budget for a CRM project has more funds allocated to data and integration than to the configuration and usage of a CRM tool. Customer Experience Data & Analytics Healthcare best practices CRM Data Integration perspective MORE
Real Cases big data Data Governance Data integration data virtualization Denodo Platform GEMAPeople looking to purchase licensed music, and music authors looking to sell their music, both require a trusted intermediary to bring them together. MORE
As we move into the modern cloud data architecture era, enterprises are deploying 2 primary classes of data integration tools to handle the traditional ETL and ELT use cases. The first type of Data integration tools are GUI-Based Data Integration solutions. MORE
Data governance is more important to the enterprise than ever before. It ensures everyone in the organization can discover and analyze high-quality data to quickly deliver business value. A mature and sustainable data governance initiative must include data integration. MORE
To accomplish this, operational data has to be extracted and integrated. Integrating clinical data at this level of detail requires a (wait for it) monstrous effort. To satisfy these complex reporting and analysis requirements requires finding the needed data in many operating systems then merge it all together in a usable way. Lack of expertise in these areas can adversely affect the quality, accuracy and usability of a data warehouse. MORE
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. MORE
Business Ideas business business intelligence Data integration data virtualization Data Warehousing enterprise data warehouse ETL Internet of Things IT social mediaBy Barry Devlin “I want it all, and I want it now,” sang Freddie Mercury in “I Want It All.” Today’s businesspeople, it turns out, feel just the same way. The pace of business has ramped up dramatically over the. MORE
What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? 2019 Aug Opinions Advice Data Integration Data Management Data Science Data Science Platform ETL MORE
An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI. 2020 Mar Tutorials, Overviews Beginners Business Intelligence Data Integration MORE
Oracle Data Integration Platform Cloud (DIPC). DIPC is a unified, powerful, data-driven data integration platform on cloud which can accept data in any format from any source system either on premise or on cloud and process that data as per organization needs. MORE
Like many other industries today, life sciences face a data deluge. Astronomical amounts of healthcare data double every 73 days. Extreme levels of data proliferation overwhelm top research organizations, existing. by Jen Underwood. MORE
Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Qonnections 2019 is Qlik's annual user conference. MORE
In 2017 Strata + Hadoop World was changed to the Strata Data Conference. That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. MORE
Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Big Data Data Governance Data Integration Data Preparation Tableau Software data lakes MORE
Bad data can look identical to good data. Data integrity issues are a bigger problem than many people realize, mostly because they can’t see the scale of the problem. Prevention is the only real cure for data integrity issues. Data-Optimized Reports. MORE
The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment MORE
Information Builders , a leader in business intelligence ( BI ) and analytics, information integrity, and integration solutions, today announced that its WebFOCUS BI and analytics platform and iWay Data Integration Suite were recipients of the Integrate + APR World 2015 awards MORE
Every decade there are three or four new systems who federate data in disparate systems. However, they may well play a role as a piece of a future data integration suite, as subsequently explained. These days, they range from RDBMSs to NoSQL DBMSs to file system software supporting “data lakes” to array DBMSs to graph DBMSs to … Obviously, one would like to query across these disparate systems with a common query notation. Finding them” is a data discovery problem. MORE
Data Integration Related Topics 
KDnuggets
MARCH 18, 2020
An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI. 2020 Mar Tutorials, Overviews Beginners Business Intelligence Data Integration
Sisense
MARCH 9, 2020
One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions. More data, more problems. The marketing team wants a database to store marketing data? Better data builds better businesses.
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Perficient Data & Analytics
FEBRUARY 10, 2020
As we move into the modern cloud data architecture era, enterprises are deploying 2 primary classes of data integration tools to handle the traditional ETL and ELT use cases. The first type of Data integration tools are GUI-Based Data Integration solutions.
KDnuggets
AUGUST 19, 2019
What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? 2019 Aug Opinions Advice Data Integration Data Management Data Science Data Science Platform ETL
Data Virtualization
MARCH 18, 2020
Business BI BI Tools Coronavirus Data integration data virtualization health care servicesJust when we feel smug about having found cures to innumerable diseases, along comes a new kind of a disease, such as the Coronavirus, that humbles us.
In(tegrate) the Clouds
JUNE 23, 2016
This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses. Integration has to support the continuum of data velocities starting from batch all the way to continuous streams.
Perficient Data & Analytics
OCTOBER 2, 2018
Oracle Data Integration Platform Cloud (DIPC). DIPC is a unified, powerful, data-driven data integration platform on cloud which can accept data in any format from any source system either on premise or on cloud and process that data as per organization needs.
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IBM Big Data Hub
OCTOBER 11, 2019
Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges
Perficient Data & Analytics
SEPTEMBER 27, 2018
To accomplish this, operational data has to be extracted and integrated. Integrating clinical data at this level of detail requires a (wait for it) monstrous effort. To satisfy these complex reporting and analysis requirements requires finding the needed data in many operating systems then merge it all together in a usable way. Lack of expertise in these areas can adversely affect the quality, accuracy and usability of a data warehouse.
Jet Global
NOVEMBER 6, 2019
Bad data can look identical to good data. Data integrity issues are a bigger problem than many people realize, mostly because they can’t see the scale of the problem. Prevention is the only real cure for data integrity issues. Data-Optimized Reports.
IBM Big Data Hub
MAY 9, 2019
The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment
BI-Survey
OCTOBER 18, 2018
I t is interesting to see that data integration between on-premises and cloud applications is ranked an equally important use case across all company sizes while data integration between cloud applications becomes more important the smaller the company is.
Tamr
SEPTEMBER 10, 2019
Every decade there are three or four new systems who federate data in disparate systems. However, they may well play a role as a piece of a future data integration suite, as subsequently explained. These days, they range from RDBMSs to NoSQL DBMSs to file system software supporting “data lakes” to array DBMSs to graph DBMSs to … Obviously, one would like to query across these disparate systems with a common query notation. Finding them” is a data discovery problem.
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Business Over Broadway
SEPTEMBER 27, 2018
In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In this Big Data world, a major goal for businesses is to maximize the value of all their customer data.
Information Builders
AUGUST 30, 2017
I don't normally do this, but I'm going to quote the entire first paragraph of the "Context" section of Gartner's Magic Quadrant for Data Integration Tools. Download the report here. read more
David Menninger's Analyst Perspectives
JUNE 10, 2019
Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Qonnections 2019 is Qlik's annual user conference.
David Menninger's Analyst Perspectives
JULY 23, 2019
Big Data embedded analytics Analytics Data Integration Data Management Information Builders IOT Streaming Data
David Menninger's Analyst Perspectives
JULY 26, 2019
This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center. Big Data Data Science alteryx Machine Learning Data Integration Data Management Alteryx Inspire
David Menninger's Analyst Perspectives
MAY 3, 2019
Analytics Business Intelligence Collaboration Data Integration Data Management Data Preparation DomoDomopalooza 2019 marked the first annual user conference after Domo went public, but the energy, excitement and new feature announcements have not slowed.
David Menninger's Analyst Perspectives
NOVEMBER 21, 2018
Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Big Data Data Governance Data Integration Data Preparation Tableau Software data lakes
Information Builders
AUGUST 3, 2015
Information Builders, a leader in business intelligence (BI) and analytics, information integrity, and integration solutions, today announced that it is positioned as a Visionary in Gartner Inc.s Magic Quadrant for Data Integration Tools.
Information Builders
SEPTEMBER 29, 2015
Information Builders , a leader in business intelligence ( BI ) and analytics, information integrity, and integration solutions, today announced that its WebFOCUS BI and analytics platform and iWay Data Integration Suite were recipients of the Integrate + APR World 2015 awards
Jen Underwood
AUGUST 27, 2019
BI & Analytics Artificial Intelligence Data Integration Digital Transformation Automation Bots RPA UiPathby Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork.
David Menninger's Analyst Perspectives
OCTOBER 5, 2018
In 2017 Strata + Hadoop World was changed to the Strata Data Conference. That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data.
Jen Underwood
MARCH 2, 2020
Like many other industries today, life sciences face a data deluge. Astronomical amounts of healthcare data double every 73 days. Extreme levels of data proliferation overwhelm top research organizations, existing. by Jen Underwood.
erwin
NOVEMBER 6, 2019
erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. How to automate data mapping.
erwin
JULY 17, 2019
Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured.
erwin
FEBRUARY 7, 2019
Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. That’s time needed and better used for data analysis.
Ontotext
FEBRUARY 19, 2020
The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. We hope it will bring some clarity to the topic and will help you get a better understanding of what it takes to craft a knowledge graph the semantic data modeling way.
erwin
DECEMBER 12, 2019
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.
TDAN
DECEMBER 17, 2019
If you do a general internet search for data catalogs, all sorts of possibilities emerge. If you look closely, and ask a lot of questions, you will find that some of these products are not actually fully functional data catalogs at all.
Perficient Data & Analytics
JANUARY 15, 2020
Integration. In many cases, the budget for a CRM project has more funds allocated to data and integration than to the configuration and usage of a CRM tool. Customer Experience Data & Analytics Healthcare best practices CRM Data Integration perspective
Perficient Data & Analytics
FEBRUARY 6, 2020
In this blog, we’re going to focus on healthcare and examine how a healthcare provider gave a more personalized experience for patients by integrating data processes in the cloud. Integrating data in the cloud.
Data Virtualization
JANUARY 23, 2020
The star of SnowflakeDB keeps rising.
Data Virtualization
JUNE 12, 2019
Ideas analytics big data Data integration data scientist data virtualization Denodo Platform
erwin
JANUARY 17, 2019
Data governance is more important to the enterprise than ever before. It ensures everyone in the organization can discover and analyze high-quality data to quickly deliver business value. A mature and sustainable data governance initiative must include data integration.
Perficient Data & Analytics
AUGUST 9, 2018
The consolidation of data and integration of systems is essential to providing a holistic 360-degree view of patients and members. One organization that understands the challenges associated with bringing data together across a large number of hospitals is Mayo Clinic. The implementation and integration of the system at its network of hospitals and clinics are estimated to cost $1.5
erwin
DECEMBER 12, 2019
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.
Data Virtualization
JUNE 19, 2019
Ideas Real Cases Cloud Data Analysis Data Catalog Data integration data virtualization Denodo Platform TelecommunicationsIf telecommunications subscribers are not happy with their providers, they can easily switch.
Data Virtualization
MAY 29, 2019
Real Cases big data Data Governance Data integration data virtualization Denodo Platform GEMAPeople looking to purchase licensed music, and music authors looking to sell their music, both require a trusted intermediary to bring them together.
In(tegrate) the Clouds
AUGUST 4, 2016
In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked: What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space? There are three trends that I believe are fundamentally changing the world of data.
Data Virtualization
OCTOBER 24, 2019
Apache Spark and data virtualization enables us to extract data from heterogeneous data sources, integrate and process that data, and make it available for a wide range of reporting and analytics tools. Business Apache Spark applications Data Data integration Data Sources data virtualization database hadoop Salesforce SAP SQL
Data Virtualization
OCTOBER 17, 2019
Business Ideas business business intelligence Data integration data virtualization Data Warehousing enterprise data warehouse ETL Internet of Things IT social mediaBy Barry Devlin “I want it all, and I want it now,” sang Freddie Mercury in “I Want It All.” Today’s businesspeople, it turns out, feel just the same way. The pace of business has ramped up dramatically over the.
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