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. Why is Data Integration a Challenge for Enterprises?

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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.

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Alation

AUGUST 9, 2022

But in the four years since it came into force, have companies reached their full potential for data integrity? But firstly, we need to look at how we define data integrity. What is data integrity? Many confuse data integrity with data quality. Is integrity a universal truth?

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CIO Business Intelligence

JUNE 5, 2023

Though we know who’s paying your income taxes this April (sorry to rub it in: it’s you), we have to ask: Who’s paying your data integration tax? Data integration tax is a term used to describe the hidden costs associated with integrating data solutions to process your data from disparate sources and for different needs.

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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. Their aims are similar, but see how they differ.

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Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

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Smart Data Collective

APRIL 30, 2021

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? What is data integrity? Indeed, without data integrity, decision-making can be as good as guesswork.

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Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. What is data integrity?

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Octopai

AUGUST 3, 2022

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

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Ontotext

AUGUST 24, 2023

The second approach is to use some Data Integration Platform. As an enterprise-supported tool, it has already established how to make all data transformations. To Sum It Up Let’s have a quick summary of the seven data integration patterns again. Try the data integration pattern that’s best for you!

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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.

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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.

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AWS Big Data

JULY 26, 2023

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

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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? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

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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. To understand how to accelerate and simplify.

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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.

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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?

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Sisense

MARCH 9, 2020

Whatever analytics platform you choose, it will become the lynchpin where all your data is joined together, where experts work with it, and where users turn to make decisions as they go about their daily tasks. More data, more problems. And that’s all to say nothing of the Creative team, Finance, Operations — the list goes on and on.

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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.

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KDnuggets

JANUARY 19, 2023

In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.

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AWS Big Data

JULY 26, 2023

AWS Glue provides different authoring experiences for you to build data integration jobs. Data scientists tend to run queries interactively and retrieve results immediately to author data integration jobs. This interactive experience can accelerate building data integration pipelines.

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TDAN

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. It is perhaps no surprise then, that the value of all the world’s data is projected to reach $280 billion by 2025.

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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.

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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.

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Data Integration Data Governance 52

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.

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KDnuggets

AUGUST 19, 2019

What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? Find out the approach that best fits your organization’s needs and the factors that influence it.

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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.

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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.

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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.

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David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

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Jet Global

JULY 26, 2022

The latest Angles for Oracle release continues to solve the biggest challenges associated with enterprise data integration by allowing users to access critical data and information through a single, cloud-accessible user interface. CCgroup for insightsoftware. insightsoftware@ccgrouppr.com. Ashley Yakopec.

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Jet Global

JULY 26, 2022

The latest Angles for Oracle release continues to solve the biggest challenges associated with enterprise data integration by allowing users to access critical data and information through a single, cloud-accessible user interface. CCgroup for insightsoftware. insightsoftware@ccgrouppr.com. Ashley Yakopec.

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Jet Global

NOVEMBER 6, 2019

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. Prevention is the only real cure for data integrity issues.

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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.

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Analytics Vidhya

AUGUST 22, 2023

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT).

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