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.

Data Integration 147

Data Integration Data 147

Precisely

NOVEMBER 5, 2024

Key Takeaways: Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations. Data trust is impacted by data quality issues, with 67% of organizations saying they don’t completely trust their data used for decision-making. How does your data program compare to your peers?

Data Integration 59

Data Integration High Quality Data Data Programming Data 59

Snowflake

JANUARY 15, 2024

Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud.

Data Integration 122

Data Integration BI Cloud Data 122

Data Engineering Podcast

SEPTEMBER 3, 2023

Summary Cloud data warehouses and the introduction of the ELT paradigm has led to the creation of multiple options for flexible data integration, with a roughly equal distribution of commercial and open source options. The challenge is that most of those options are complex to operate and exist in their own silo.

Data Integration 162

Data Integration BI SQL Python 162

Precisely

JULY 12, 2024

When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

Data Integration 105

Data Integration Datasets Data Data Governance 105

Precisely

JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. Data integrity trends for 2023 promise to be an important year for all aspects of data management. Read The Corinium report to learn more.

Data Integration 97

Data Integration Data Machine Learning Cloud Computing 97

Towards Data Science

FEBRUARY 3, 2023

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

Data Integration 116

Data Integration Database Data Science Data 116

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.

Data Integration 106

Data Integration Data Warehouse Data Data Science 106

Striim

OCTOBER 31, 2024

With Striim’s real-time data integration solution, the institution successfully transitioned to a cloud infrastructure, maintaining seamless operations and paving the way for future advancements. After evaluating various options, they selected Striim for its real-time data integration and streaming capabilities.

Education 52

Education Healthcare Data Integration Cloud 52

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.

Business Intelligence 150

Business Intelligence Data Integration BI Data 150

KDnuggets

DECEMBER 16, 2024

Get the Full 2024 Gartner Magic Quadrant Data Integration Report.

Data Integration 110

Data Integration Data 110

The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

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.

SQL 127

SQL Data Integration Data Process 127

Seattle Data Guy

MARCH 19, 2025

Data integration is critical for organizations of all sizes and industriesand one of the leading providers of data integration tools is Talend, which offers the flagship product Talend Studio. In 2023, Talend was acquired by Qlik, combining the two companies data integration and analytics tools under one roof.

Data Pipeline 130

Data Pipeline Data Integration Data Big Data 130

The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. This encompasses the establishment of data dashboards, execution of comprehensive data quality management, and fulfillment of governance functions down to the granular level.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Confluent

JULY 30, 2021

It’s about maintaining the right data even when no one is watching. Last year, Confluent announced support for Infinite Storage, which fundamentally changes data retention in Apache Kafka® by allowing […].

Data Integration 136

Data Integration Cloud Kafka Data 136

Hevo

JANUARY 31, 2025

With growing businesses, marketing teams are flooded with a wealth of data from various platforms such as social media, email campaigns, customer feedback, websites, and offline in-store. The real challenge lies in “how to integrate this data into a unified structure in a meaningful way ?”

Data Integration 40

Data Integration IT Media Data 40

Hevo

FEBRUARY 23, 2025

Organizations need data ingestion and integration to realize the complete value of their data assets. Data ingestion collects raw data from disparate sources and moves it into a centralized system, while data integration transforms, enriches, and standardizes […]

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

Hevo

JANUARY 5, 2025

Integration of HR data has become an important step in smoothing the flow of HR processes, improving the employee experience, and ensuring compliance in a technology-enabled environment. The trend of today’s information-driven world is to make decisions based on information. It involves consolidating HR […]

Data Integration 40

Data Integration Data Technology Process 40

Precisely

JUNE 12, 2024

Precisely is launching the first-ever Data Integrity Awards to recognize Precisely customers who have achieved excellence in data integrity through innovative use cases and demonstrated results. Regardless of where you’re at on your data journey, there’s a story to tell and we’d love to shine a light on it.

Data Integration 69

Data Integration Data IT 69

Precisely

SEPTEMBER 18, 2024

This means it’s more important than ever to make data-driven decisions, cut costs, and improve efficiency. Get your copy of the full report for all the strategic insights you need to build a winning data strategy in 2025. Data quality is the top data integrity challenge for 64% of organizations this year, up from 50% last year.

Data Integration 72

Data Integration Data Governance Government Data Programming 72

Hevo

FEBRUARY 23, 2025

Organizations need data ingestion and integration to realize the complete value of their data assets. Data ingestion collects raw data from disparate sources and moves it into a centralized system, while data integration transforms, enriches, and standardizes […]

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

Towards Data Science

OCTOBER 12, 2023

Dataset containing hierarchical information Conclusion We have shown how to tackle more advanced data engineering tasks in a practical use case by extracting and integrating data from SAP Systems using ChatGPT to generate PySpark code.

Data Integration 97

Data Integration Systems Engineering Datasets 97

Precisely

OCTOBER 17, 2024

This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards ! What Can Your Business Accomplish with Data Integrity? Watch, learn, and get ready for better decisions grounded in trusted data.

Data Integration 69

Data Integration Data Governance Government Metadata 69

Christophe Blefari

JANUARY 11, 2025

The future of data querying with Natural Language — What are all the architecture block needed to make natural language query working with data (esp. Hard data integration problems — As always Max describes the best way the reality. when you have a semantic layer).

Data 130

Data Data Warehouse Coding Programming Language 130

Hevo

FEBRUARY 21, 2025

As the advancements in healthcare technologies continue to increase, the amount of healthcare data recorded also increases. This ranges from patient records and clinical trials to insurance claims and operational data. Healthcare organizations store a lot of this information and data.

Healthcare 40

Healthcare Data Integration Insurance Data 40

Precisely

DECEMBER 9, 2024

Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).

Data Governance 64

Data Governance Government Data Integration Architecture 64

Precisely

DECEMBER 12, 2024

Data Silos Mainframe data often exists in a silo, separated from other enterprise data. This can make it difficult to integrate with modern AI systems that rely on a centralized data platform. This approach reduces the complexity and cost associated with data integration.

Healthcare 64

Healthcare Algorithm Finance Data Integration 64

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Data Analytics 59

Data Analytics Data Governance Government Data Integration 59

databricks

APRIL 13, 2023

Collective Health is not an insurance company. We're a technology company that's fundamentally making health insurance work better for everyone— starting with the 1.

Insurance 97

Insurance Data Integration Technology Data 97

Wayne Yaddow

MARCH 28, 2025

First: It is critical to set up a thorough data inventory and assessment procedure. Organizations must do a comprehensive inventory of their current data repositories, recording the data sources, kind, structure, and quality before starting data integration.

Data Integration 52

Data Integration Data Governance Government Datasets 52

Hevo

FEBRUARY 16, 2025

You work with data to gain insights, improve decisions, and develop new ideas. With more and more data coming from all sorts of places, it’s super important to have a good data plan. That’s where big data integration comes in! For today’s […]

Big Data 52

Big Data Data Integration IT Data 52

Precisely

JANUARY 16, 2025

The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers? Lets explore more of the reports findings around data enrichment and location intelligence.

Data Integration 52

Data Integration Data Programming Data Programming 52

Ascend.io

NOVEMBER 14, 2024

Databricks and Apache Spark provide robust parallel processing capabilities for big data workloads, making it easier to distribute tasks across multiple nodes and improve throughput. Integration: Seamless Data Integration Strategies Integrating diverse data sources is crucial for maintaining pipeline efficiency and reducing complexity.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

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).

Data Integration 187

Data Integration Process Datasets Data 187

Precisely

OCTOBER 24, 2024

Maintaining data integrity during cloud migration is essential to ensure reliable and high-quality data for better decision-making and future use in advanced applications. You rely on accurate and trustworthy data to drive better decision-making – and anomalies in your data are all too common.

Cloud 111

Cloud Data Integration Insurance Data 111