Expert insights. Personalized for you.
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. As dire as the situation may be, in terms of the rapid spread. MORE
In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe. As a basis for the AI analyses, a massive database of customer contracts was built up in Jedox and enriched with additional data sources. MORE
Business Technology CAPEX CIO Cloud COTS COVID-19 data center Data integration data management Data Scientists data stored data virtualization IT IT Portfolio Rationalization IT rationalization Logitech OPEX SaaS TCO MORE
One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions. The first step towards doing that is to bring all your organization’s data: all your disparate datasets, wherever they live (on-prem and in a variety of cloud sources, no doubt) into an enterprise BI tool. 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
In this era of data-driven companies, there is a lot of talk about data management, but it is my impression that we do not talk about it in a perfectly harmonious way, that we privilege some aspects of the phrase. MORE
With data becoming the brain food to the intelligence of every organization, regardless of size or sector, it has become crucial to harness this data to achieve the best results, make the most informed decisions and improve productivity. Technology artificial intelligence big data Data integration Data Lake data virtualization Logical Data Lake Machine learning 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 DataSummit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years. MORE
In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. Big data has made it possible to store information on virtually everything. Big Data Raises the Bar for Technical Support. 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. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More. MORE
Ideas analytics big data Data integration data scientist data virtualization Denodo PlatformWe have a certain level of expectation when it comes to driving; we expect the ride to be smooth and comfortable, with the car gliding over road surface irregularities with ease. This is owing to the active suspensions, which controls. MORE
The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. Paradoxically, even without a shared definition and common methodology, the knowledge graph (and its discourse) has steadily settled in the discussion about data management, data integration and enterprise digital transformation. Ontotext’s 10 Steps of Crafting a Knowledge Graph With Semantic Data Modeling. Create your semantic data model. 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 our world of Big Data, marketers no longer need to simply rely on their gut instincts to make marketing decisions. Through the application of data science principles, marketing professionals now have a way of making evidence-based decisions to improve their marketing activities. 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 InspireAlteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. 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
Undoubtedly, blockchain and big data project to be one of the emerging technologies most companies are looking to adopt. As a single entity both blockchain and big data might not be as useful as it depicts to be. Here’s what Chris Neimeth, COO of NYC Data Science Academy has to say,“Big Data is an incredibly profitable business, with revenues expected to grow to $203 billion by 2020. Big Data Technical MORE
This cloud-based, analytical SQL database server offers a set of powerful features, not in the least of which is high performance, end-to-end encryption, cloud platform independency, a self-driving engine, automatic scalability (up or down), Business API big data Cloud Data integration Data Sources data virtualization GraphQL hadoop IT metadata OData REST security Snowflake SnowflakeDB SOAP SQL stakeholdersThe 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. Primary use cases for cloud data management by company size (n=165). Using the cloud for processing calculations and data mining models is especially important for mid-sized companies. MORE
Technology business intelligence data access Data Integration Market Data marketplace data virtualisation data virtualization Data Virtualization performance MORE
As coined by British mathematician Clive Humby, "data is the new oil." Like oil, data is valuable but it must be refined in order to provide value. Organizations need to collect, organize, and analyze their data across multi-cloud, hybrid cloud, and data lakes. In turn, enterprises are increasingly looking for machine-learning-powered integration tools to synchronize data for analytics, improve employee productivity, and prepare data for analytics 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
The data landscape is constantly changing. Every day, we deal with tons of data in different formats from different applications, and it’s stored both on-premises and in the cloud. MORE
In my last post, I covered some of the latest best practices for enhancing data management capabilities in the cloud. Technology API artificial intelligence AWS aws c Cloud cloud migration Data Architecture Data integration Data Lakes Data Science data virtualization Data Warehouses Google Cloud Platform Machine learning Microsoft Azure security 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. Also, GUI-based data integration tools have a proven record of increasing developer productivity. Requirements to move data to and from cloud platforms (e.g. MORE
For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions. MORE
We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. 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
Bring any data to any data consumer, simply and easily: that’s the goal of data virtualization. Yet contrary to what may first come to mind, data consumers are more than simply BI, analytics, or data science applications. Just about every. MORE
We are in the midst of a significant transformation in each and every sphere of business. We are witnessing an Industrial 4.0 revolution across the industrial sectors. The way products are getting manufactured is being transformed with automation, robotics, and. 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 ETLFind out the approach that best fits your organization’s needs and the factors that influence it. 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. With DIPC, you get all the capabilities of most popular E-LT (Extract – Load Transform) tool – Oracle Data Integrator. DIPC Data Processing Methods. MORE
Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud. 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. BI & Analytics Data Integration Data Management Sponsored Data Meshby Jen Underwood. Read More. 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. Big Data Analytics Cloud Computing Data Integration Data Management Information Management Qlik Qlik QonnectionsQonnections 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. Big Data Data Science Machine Learning Analytics Business Intelligence Data Governance Data Integration Data Preparation Information Optimization Digital Technology Machine Learning and Cognitive Computing MORE
Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Pushing the envelope in data capabilities and access, Tableau introduced the "Ask Data" feature, allowing users to prose natural language queries and receive a response, along with new data preparation capabilities and other enhancements to help data analysts. 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. Errors and omissions are going to end up in large, complex data sets whenever humans handle the data. Worse, those integrity issues are likely to go unnoticed, even with a careful review and reconciliation effort. Prevention is the only real cure for data integrity issues. 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
When people dream about becoming a baker or a pastry chef, they often think about the delicious pastries they'll create, delighting their patrons with towering cakes wrapped in impossibly smooth fondant. But very rarely does anyone start off by thinking about the preparation involved in baking… Without being able to use freshly milled flour for baking, for example, you would actually never be able to eat a good piece of cake or a crusty loaf of bread. 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 DataFloq
APRIL 21, 2020
Undoubtedly, blockchain and big data project to be one of the emerging technologies most companies are looking to adopt. As a single entity both blockchain and big data might not be as useful as it depicts to be. Here’s what Chris Neimeth, COO of NYC Data Science Academy has to say,“Big Data is an incredibly profitable business, with revenues expected to grow to $203 billion by 2020. Big Data Technical
Sisense
AUGUST 28, 2020
We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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
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.
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. The first step towards doing that is to bring all your organization’s data: all your disparate datasets, wherever they live (on-prem and in a variety of cloud sources, no doubt) into an enterprise BI tool. More data, more problems. The marketing team wants a database to store marketing data? Better data builds better businesses.
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. Also, GUI-based data integration tools have a proven record of increasing developer productivity. Requirements to move data to and from cloud platforms (e.g.
Data Virtualization
JULY 8, 2020
In my last post, I covered some of the latest best practices for enhancing data management capabilities in the cloud. Technology API artificial intelligence AWS aws c Cloud cloud migration Data Architecture Data integration Data Lakes Data Science data virtualization Data Warehouses Google Cloud Platform Machine learning Microsoft Azure security
|
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 ETLFind out the approach that best fits your organization’s needs and the factors that influence it.
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. As dire as the situation may be, in terms of the rapid spread.
IBM Big Data Hub
APRIL 15, 2020
When people dream about becoming a baker or a pastry chef, they often think about the delicious pastries they'll create, delighting their patrons with towering cakes wrapped in impossibly smooth fondant. But very rarely does anyone start off by thinking about the preparation involved in baking… Without being able to use freshly milled flour for baking, for example, you would actually never be able to eat a good piece of cake or a crusty loaf of bread.
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.
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. With DIPC, you get all the capabilities of most popular E-LT (Extract – Load Transform) tool – Oracle Data Integrator. DIPC Data Processing Methods.
|
IBM Big Data Hub
MAY 9, 2019
The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment
David Menninger's Analyst Perspectives
OCTOBER 7, 2020
For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions.
Jedox
FEBRUARY 20, 2020
In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe. As a basis for the AI analyses, a massive database of customer contracts was built up in Jedox and enriched with additional data sources.
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.
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. Errors and omissions are going to end up in large, complex data sets whenever humans handle the data. Worse, those integrity issues are likely to go unnoticed, even with a careful review and reconciliation effort. Prevention is the only real cure for data integrity issues.
Bob Hayes
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 our world of Big Data, marketers no longer need to simply rely on their gut instincts to make marketing decisions. Through the application of data science principles, marketing professionals now have a way of making evidence-based decisions to improve their marketing activities.
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
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. Primary use cases for cloud data management by company size (n=165). Using the cloud for processing calculations and data mining models is especially important for mid-sized companies.
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. Big Data Analytics Cloud Computing Data Integration Data Management Information Management Qlik Qlik QonnectionsQonnections 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 DataSummit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years.
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 InspireAlteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month.
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
Smart Data Collective
NOVEMBER 12, 2020
In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. Big data has made it possible to store information on virtually everything. Big Data Raises the Bar for Technical Support.
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". Pushing the envelope in data capabilities and access, Tableau introduced the "Ask Data" feature, allowing users to prose natural language queries and receive a response, along with new data preparation capabilities and other enhancements to help data analysts.
Data Virtualization
OCTOBER 21, 2020
The data landscape is constantly changing. Every day, we deal with tons of data in different formats from different applications, and it’s stored both on-premises and in the cloud.
Data Virtualization
AUGUST 19, 2020
In this era of data-driven companies, there is a lot of talk about data management, but it is my impression that we do not talk about it in a perfectly harmonious way, that we privilege some aspects of the phrase.
Data Virtualization
AUGUST 12, 2020
Technology business intelligence data access Data Integration Market Data marketplace data virtualisation data virtualization Data Virtualization performance
Data Virtualization
SEPTEMBER 9, 2020
Business Technology CAPEX CIO Cloud COTS COVID-19 data center Data integration data management Data Scientists data stored data virtualization IT IT Portfolio Rationalization IT rationalization Logitech OPEX SaaS TCO
Data Virtualization
APRIL 30, 2020
We are in the midst of a significant transformation in each and every sphere of business. We are witnessing an Industrial 4.0 revolution across the industrial sectors. The way products are getting manufactured is being transformed with automation, robotics, and.
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. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More.
Data Virtualization
SEPTEMBER 16, 2020
Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud.
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. Big Data Data Science Machine Learning Analytics Business Intelligence Data Governance Data Integration Data Preparation Information Optimization Digital Technology Machine Learning and Cognitive Computing
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. BI & Analytics Data Integration Data Management Sponsored Data Meshby Jen Underwood. Read More.
Data Virtualization
JUNE 12, 2019
Ideas analytics big data Data integration data scientist data virtualization Denodo PlatformWe have a certain level of expectation when it comes to driving; we expect the ride to be smooth and comfortable, with the car gliding over road surface irregularities with ease. This is owing to the active suspensions, which controls.
Data Virtualization
MARCH 27, 2019
With data becoming the brain food to the intelligence of every organization, regardless of size or sector, it has become crucial to harness this data to achieve the best results, make the most informed decisions and improve productivity. Technology artificial intelligence big data Data integration Data Lake data virtualization Logical Data Lake Machine learning
Ontotext
FEBRUARY 19, 2020
The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. Paradoxically, even without a shared definition and common methodology, the knowledge graph (and its discourse) has steadily settled in the discussion about data management, data integration and enterprise digital transformation. Ontotext’s 10 Steps of Crafting a Knowledge Graph With Semantic Data Modeling. Create your semantic data model.
Data Virtualization
MAY 5, 2020
Bring any data to any data consumer, simply and easily: that’s the goal of data virtualization. Yet contrary to what may first come to mind, data consumers are more than simply BI, analytics, or data science applications. Just about every.
Data Virtualization
JANUARY 23, 2020
This cloud-based, analytical SQL database server offers a set of powerful features, not in the least of which is high performance, end-to-end encryption, cloud platform independency, a self-driving engine, automatic scalability (up or down), Business API big data Cloud Data integration Data Sources data virtualization GraphQL hadoop IT metadata OData REST security Snowflake SnowflakeDB SOAP SQL stakeholdersThe star of SnowflakeDB keeps rising.
46 
Let's personalize your content