Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions.

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Hevo

SEPTEMBER 29, 2023

You need data integration for simplified data analytics. Given how siloed data sources have gotten with the evolution of the modern data stack, it’s become even more important to bring data from multiple disparate sources to a central repository. Point to point data […]

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Precisely

DECEMBER 14, 2023

Data integrity empowers your businesses to make fast, confident decisions based on trusted data that has maximum accuracy, consistency, and context. As 2023 comes to an end we’re counting down the Top 5 Data Integrity blog posts of the year. #5. Read more > #2.

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Hevo

AUGUST 8, 2024

AWS Glue is a powerful data integration service that prepares your data for analytics, application development, and machine learning using an efficient extract, transform, and load (ETL) process. The AWS Glue service is rapidly gaining traction, with more than 6,248 businesses worldwide utilizing it as a big data tool.

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Hevo

MAY 3, 2024

You need data integration for simplified data analytics. Given how siloed data sources have gotten with the evolution of the modern data stack, it’s become even more important to bring data from multiple disparate sources to a central repository. Point to point data […]

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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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Hevo

AUGUST 21, 2024

In today’s data-driven world, businesses rely heavily on data integration tools to streamline their data workflows. These tools are crucial in extracting, transforming, and loading (ETL) data from various sources into a unified system.

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Precisely

MAY 31, 2023

To innovate, compete, and grow in the current macroeconomic environment, enterprises must approach data strategically. A sound data strategy doesn’t happen by accident; it’s built on a foundation of data integrity , including accuracy, consistency, and rich context. Many organizations still struggle with data integrity.

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Hevo

JULY 4, 2024

Choosing the right data integration tool can be tricky, with many options available today. That’s why it’s crucial to have essential details and information, such as what factors to consider and how to choose the best data integration tools, […]

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Hevo

AUGUST 23, 2024

Choosing the right data integration tool is crucial for managing workflows and ensuring your data pipelines are efficient and reliable. Talend and Airflow are two powerful tools in this space, each with strengths and limitations.

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Hevo

AUGUST 23, 2024

With growing data and business needs, having an efficient data integration tool to migrate and manage your data has become crucial. Almost every organization keeps its data in different locations, from the internal database to the SaaS platform.

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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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Towards Data Science

FEBRUARY 3, 2023

Exploring popular data integration strategies for TSDBs including ETL, ELT, and CDC Continue reading on Towards Data Science »

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Precisely

JUNE 15, 2023

To generate meaningful business value, however, telecom companies must develop and sustain high levels of data integrity within their telecom data. Telecoms face a multitude of challenges as they strive to maintain trust in their data. Data quality, likewise, is a persistent problem for many telecom organizations.

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Databand.ai

AUGUST 30, 2023

Data Consistency vs Data Integrity: Similarities and Differences Joseph Arnold August 30, 2023 What Is Data Consistency? Data consistency refers to the state of data in which all copies or instances are the same across all systems and databases. What Is Data Integrity?

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Precisely

JANUARY 9, 2023

Requirements for data to be more easily accessible, at even faster rates, will continue to grow in 2023, and organizations will need to adapt their data quality practices to keep pace with the demand for new modern use cases. The post Top Data Integrity Trends Fueling Confident Business Decisions in 2023 appeared first on Precisely.

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Databand.ai

AUGUST 30, 2023

Data Accuracy vs Data Integrity: Similarities and Differences Eric Jones August 30, 2023 What Is Data Accuracy? Data accuracy refers to the degree to which data is correct, precise, and free from errors. In other words, it measures the closeness of a piece of data to its true value.

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Data Engineering Podcast

FEBRUARY 22, 2021

Summary Data integration is a critical piece of every data pipeline, yet it is still far from being a solved problem. The team at Airbyte is adding a new entry to that list with the goal of making robust and easy to use data integration more accessible to teams who want or need to maintain full control of their data.

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Hevo

MAY 22, 2023

Data integration and ETL are two important concepts in the field of data management and analysis. They both involve the process of bringing data from multiple sources together and making it available for further analysis and use. Reading this article on Data Integration vs ETL will […]

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Striim

JUNE 6, 2024

For your organization’s data integration and streaming initiatives to succeed, meeting latency requirements is crucial. Low latency, defined by the rapid transmission of data with minimal delay, is essential for maximizing the effectiveness of your data strategy. Here’s what you need to know.

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Hevo

JUNE 19, 2024

In today’s dynamic business landscape, mastering the art of data integration is not just a choice but a necessity. The wealth of valuable information resides in various sources, from corporate databases to customer interactions on your website, and for them, you need to be thorough with various types of integration.

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Hevo

JUNE 19, 2024

In today’s dynamic business landscape, mastering the art of data integration is not just a choice but a necessity. The wealth of valuable information resides in various sources, from corporate databases to customer interactions on your website, and for them, you need to be thorough with various types of integration.

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Monte Carlo

JANUARY 19, 2024

Well, the same goes for your data. Just because it looked good yesterday doesn’t mean it’ll hold up tomorrow – and that’s why we’re talking about data integrity testing today. Data integrity testing is the process of ensuring data is fit for the task at hand and available to only those who should have access.

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Hevo

APRIL 26, 2024

It is common for people to get confused about the differences between data integration and data migration. Understanding the differences data integration vs data migration is crucial for choosing the right approach for your specific needs. This will also help ensure that […]

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Data Engineering Podcast

NOVEMBER 30, 2020

Summary The first stage of every good pipeline is to perform data integration. With the increasing pace of change and the need for up to date analytics the need to integrate that data in near real time is growing. There are a number of projects and platforms on the market that target data integration.

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Hevo

JUNE 28, 2024

Data generated from various sources can make it challenging to integrate and leverage it to make sound, data-driven decisions efficiently. Oracle data integration, part of the broader Oracle Integration suite, offers a comprehensive set of tools and services for effective data ingestion and processing.

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Precisely

MARCH 6, 2023

Read Financial Services ESG Reporting: The essential role of data Financial organizations are now assessing how they can derive more environmental, social and governance insights, while optimizing reporting through their existing infrastructure.

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Precisely

JULY 17, 2023

And yet less than half (46%) rate their ability to trust data for decision-making as “high” or “very high.” Accurate, confident decision-making requires trusted data. And trusted data needs data integrity – maximum accuracy, consistency, and context. That’s where the Precisely Data Integrity Suite comes in.

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Precisely

FEBRUARY 6, 2023

The success of all of those investments hinges on high levels of data integrity. Data infrastructure spending is expected to reach $200 billion in 2022, and 68% of Fortune 1000 businesses now have hired Chief Digital Officers, elevating data integrity to the level of the C-suite. What Is Data Integrity?

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Hevo

JUNE 7, 2024

Integrating a database where you store all your in-house information into a cloud warehousing platform like Snowflake can be a beneficial step to consider. Data integration enables you to back up your data and use it for analysis when necessary, positively impacting your business.

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Precisely

JULY 10, 2023

Did you join us for Trust ’23: the Precisely Data Integrity Summit? We hope you came away with practical and valuable insights for your data integrity journey. Trust ’23 was chock-full of content for everyone – whatever your industry or data integrity area of focus may be. Want to learn more?

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Data Engineering Podcast

JULY 28, 2019

For a small number of sources it is a tractable problem, but as the overall complexity of the data ecosystem continues to expand it may be time to identify new ways to tame the deluge of information. In this episode Tim Ward, CEO of CluedIn, explains the idea of eventual connectivity as a new paradigm for data integration.

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Precisely

MARCH 23, 2023

You need a flexible framework to efficiently identify, understand, and link the underlying data elements required for accurate, consistent, and contextualized ESG reporting. In summary: your ESG data needs data integrity. The post Why You Need Data Integrity for ESG Reporting appeared first on Precisely.

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Precisely

JULY 31, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data integrity maturity, challenges, and priorities.

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Precisely

JUNE 26, 2023

The key to success within all of these initiatives is high-integrity data. Trustworthy data that’s fit for purpose directly supports efficiency, cost savings, increased revenue, and compliance. This speaks loud and clear to the growing importance of data integrity – that’s data with maximum accuracy, consistency, and context.

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Hevo

SEPTEMBER 24, 2023

Within the SAP ERP framework, SAP ERP data integration ensures data uniformity. SAP is a popular tool among large-scale organizations for optimizing daily operations. These include financial management, inventory management, human resources, sales CRM, and more. This will provide real-time insights for decision-making.

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Grouparoo

DECEMBER 7, 2021

Integrity is a critical aspect of data processing; if the integrity of the data is unknown, the trustworthiness of the information it contains is unknown. What is Data Integrity? Data integrity is the accuracy and consistency over the lifetime of the content and format of a data item.

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