CSV Import Errors: Quick Fixes for Data Pros February 06, 2024 by Donal Tobin This blog post offers practical solutions and expert tips to ensure smooth data import processes. We demystify the complexities associated with CSV data importation and present easy-to-follow steps for error...
Dataloader.io Errors Explained - Time for an Alternative? February 02, 2024 by Terence Bennett Explore Dataloader.io errors, their fixes, and why Integrate.io might be the better choice for Salesforce data management.
Seven Benefits of Investing in Cross-Functional Data Projects December 19, 2022 by Lyndsay Wise Data assets can be leveraged across business domains, making it easier to share costs and increase benefits. Instead of limiting data access or increasing the number of silos, a more...
Making Data Actionable December 12, 2022 by Lyndsay Wise Too many teams focus on the movement of data and creating data pipelines without aligning those activities to business outcomes.
Driving Business Value from a Data Mesh Approach November 07, 2022 by Lyndsay Wise Data mesh helps organizations look at data projects from a business perspective and manage their outcomes more effectively. Data pipelines take into account business domains, enabling better data governance planning.
The Importance of Business and IT Alignment to Build Successful Data Pipelines October 31, 2022 by Lyndsay Wise Successful data pipeline projects being built require broader considerations than just the pipelines themselves. Understanding business outcomes and needs, help data teams build better data pipelines across the data ecosystem.
5 Signs of a Rookie Mistake in Data Management July 29, 2022 by Bill Inmon Data warehousing pioneer Bill Inmon reveals some candid thoughts on the rookie mistakes in data management and how contextual ETL can help.
Amazon Kinesis vs. Kafka: A Detailed Comparison of Data Stream Services December 24, 2020 by Abe Dearmer We compare Amazon Kinesis vs. Kafka with features, prices, and real customer reviews.
Data Management: Recommended Tools and Guidance October 29, 2020 by Abe Dearmer Inadequate data management can sap organizations with incompatible data silos, inconsistent data sets, and data quality problems, which hinder their ability to run business intelligence (BI) and analytics applications -...