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Data Integration Related Topics 
Analytics Vidhya
OCTOBER 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction Multiple data sources include vendors, products, tools, third parties, and devices. More data complexity in terms of size and speed. And other data requests from consumers.
David Menninger's Analyst Perspectives
JANUARY 25, 2021
Data is becoming more valuable and more important to organizations. At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly.
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DataFloq
APRIL 24, 2022
Today's enterprise IT landscape is a collection of ERP, legacy software, CRMs, on-premise systems, and various applications integrated through APIs. While these systems give organizations extensive flexibility, they are notorious for creating data silos.
DataFloq
APRIL 24, 2022
Today’s enterprise IT landscape is a collection of ERP, legacy software, CRMs, on-premise systems, and various applications integrated through APIs. While these systems give organizations extensive flexibility, they are notorious for creating data silos.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. It includes on-demand video modules and a free assessment tool for prescriptive guidance on how to further improve your capabilities.
Alation
AUGUST 9, 2022
Today, data is more valuable to a company than it’s ever been. It can help you make data-driven decisions which can improve business performance, boost revenue, and improve efficiencies. But firstly, we need to look at how we define data integrity. What is data integrity?
TDAN BI
JULY 19, 2022
Data is considered by some to be the world’s most valuable resource. Going far beyond the limitations of physical resources, data has wide applications for education, automation, and governance.
KDnuggets
NOVEMBER 24, 2021
Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises. 2021 Nov Tutorials, Overviews Data Analytics Data Integration Data Preparation
Phocas
OCTOBER 5, 2021
Leading manufacturer and supplier of leaf chain is equipped with the information they need to make accurate and informed decisions across the whole business. case study manufacturing wholesale distribution building and industrial supplies executive ERP Kerridge Commercial Systems
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. Big Data Technical
Smart Data Collective
OCTOBER 20, 2021
The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration.
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KDnuggets
APRIL 19, 2022
Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.
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.
Smart Data Collective
APRIL 30, 2021
Everyone knows about the importance of data security. However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? Backup your data.
Data Virtualization
NOVEMBER 15, 2022
Reading Time: 3 minutes Many businesses are moving towards a cloud-based approach in terms of managing their data, but that doesn’t mean that incorporating the cloud into businesses is an easy process. The post Is Cloud Data Integration the Secret to Alleviating Data Connectivity Woes?
KDnuggets
AUGUST 1, 2022
Extract-Transform-Load vs Extract-Load-Transform: Data integration methods used to transfer data from one source to a data warehouse. KDnuggets Originals Data Science
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.
Data Virtualization
OCTOBER 14, 2022
Reading Time: 5 minutes Join our discussion on All Things Data with Mitesh Shah, Senior Cloud Product Manager & Cloud Evangelist with a focus on leveraging cloud marketplaces to accelerate & simplify cloud data integration with Denodo.
KDnuggets
NOVEMBER 24, 2021
Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises. 2021 Nov Tutorials, Overviews Data Analytics Data Integration Data Preparation
IBM Big Data Hub
AUGUST 24, 2022
The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? Remote runtime data integration as-a-service execution capabilities for on-premises and multi-cloud execution.
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.
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
Octopai
AUGUST 3, 2022
Seen on an online dating profile: Deep, thought-out analyst type searching for a partner with integrity. Or maybe that should be an “online data-ing profile”? Seeking: data with integrity. Integrity isn’t just a coveted trait for the partner of your dreams.
Data Virtualization
FEBRUARY 3, 2022
Reading Time: 3 minutes Over the last decade, the rise of cloud storage technologies and the associated ease of implementing new applications and IT systems has led to data silos and made the data landscape, spread across these hybrid and multi-cloud environments, look more.
IBM Big Data Hub
JUNE 26, 2020
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.
Martha Bennett
AUGUST 31, 2021
Does your organization struggle with issues of data integrity? Find out what three of the most common data integrity challenges are and how you can solve them. Age of the Customer Data Analysis Data Governance
Data Virtualization
SEPTEMBER 16, 2021
Today, the market offers a wide range of IaaS options for data storage, with several public clouds vying for the attention of enterprise customers. The post Data Virtualization: Easy Data Integration for Complex Pipelines appeared first on Data Virtualization blog.
Teradata
MAY 13, 2021
Data integration plays a key part of data management. Find out why data integration still matters But many enterprises have lost the faith in the value it can provide.
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.
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.
DataFloq
OCTOBER 7, 2022
More than 10 billion IoT devices around the world are constantly adding data to already overflowing data stores. Yet global supply chain disruption persists because it is not caused by a lack of data – which is why more IoT is not the answer.
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.
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. Despite the increasing popularity of cloud services, enterprises continue to struggle with creating and implementing a comprehensive cloud strategy that.
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
Forrester's Customer Insights
AUGUST 31, 2021
Does your organization struggle with issues of data integrity? Find out what three of the most common data integrity challenges are and how you can solve them. Age of the Customer Data Analysis Data Governance
Insight Software
JULY 26, 2022
Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. Angles for Oracle has been an integral part of our operational reporting processes for 20 years.
Insight Software
JULY 26, 2022
Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. Angles for Oracle has been an integral part of our operational reporting processes for 20 years.
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.
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
FEBRUARY 10, 2022
Organizations of all sizes are dealing with exponentially increasing data volume and data sources, which creates challenges such as siloed information, increased technical complexities across various systems and slow reporting of important business metrics.
David Menninger's Analyst Perspectives
JANUARY 11, 2022
Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed.
David Menninger's Analyst Perspectives
OCTOBER 7, 2021
In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization.
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