De cara a 2026, uno de los cambios más significativos en la tecnología empresarial será la forma en que las organizaciones procesan e integran datos. Esto ocurre en un momento en el que se estima que la generación global de datos alcanzará los 175 zettabytes a finales de 2025, de los cuales entre un 80% y un 90% serán datos no estructurados, un volumen imposible de manejar mediante pipelines de ETL tradicionales. La industria está dejando atrás los pipelines manuales y rígidos para ...| Blog Bismart
We spent the past 7 months building a solid experience to replicate data from Postgres to Data Warehouses such as Snowflake, BigQuery, ClickHouse and Postgres. Now, we want to expand and bring a similar experience for Queues. With that spirit, we are...| PeerDB Blog
La integración de datos ha dejado de ser una tarea técnica secundaria para convertirse, en 2025, en el motor estratégico que impulsa la inteligencia artificial, la personalización en tiempo real y la toma de decisiones basada en datos. En un panorama donde los volúmenes crecen sin descanso y la latencia es inaceptable, las arquitecturas ETL tradicionales ya no dan respuesta a las nuevas exigencias. En su lugar, emergen enfoques más ágiles, automatizados y nativamente diseñados para la...| Blog Bismart
The Hong Kong and China Gas Company Ltd (Towngas) completes its green methanol supply commitment to Golden Island Pte Ltd.| Bioenergy International
Data integration is critical for organizations of all sizes and industries—and 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. In January 2024, Talend discontinued Talend Open… Read more The post Alternatives to Talend – How To Migrate Away From Talend For Your Data Pipelines appeared first on Seattle...| Seattle Data Guy
Since I started working in tech, one goal that kept coming up was workflow automation. Whether automating a report or setting up retraining pipelines for machine learning models, the idea was always the same: do less manual work and get more consistent results. But automation isn’t just for analytics. RevOps teams want to streamline processes… Read more| Seattle Data Guy
Credible documentation is the best tool for working with data. Short of that, labor (and computational) intensive validation may be required. Recently, I had the opportunity to expand on these ideas in a cross-post with Select Star. I explore how a “good” data analyst can interrogate a dataset with expensive queries and, more importantly, how best-in-class data products eliminate the need for this. My post is reproduced below. --- In the current environment of decreasing headcount and ris...| Emily Riederer
Explain point-to-point integration, including its pros, cons, and alternative methods| Skyvia Blog
How might we best leverage video to create an active learning experience? In this post, we combine our learning design experience and expertise with Creative Listening’s, a video production company with more than 12 years’ experience. The post The role of multimedia in online learning. Hint: It’s not all videos! appeared first on LearnJam.| LearnJam
We often recommend ELT solutions like Matillion and FiveTran to our customers as powerful tools for moving data into their warehouse from lots of sources and being able to transform that data to find useful insights. These tools have worked well with BI use cases for customers that are willing to invest in data engineering …ETL vs. ELT: Why Choose If You Can Use Keboola Read More »| Hashpath
Chartio is a cloud-based visualization tool for building charts and interactive dashboards. If you’ve used it before you know it’s a powerful tool with a drag-and-drop interactive mode as well as a SQL mode for making visualizations. If you’ve built dashboards in Chartio before you may have felt like you were repeating your SQL logic …Four Ways to Model Your Data in Chartio Read More »| Hashpath
Meltano is attempting to be a single tool for the entire data ops workflow. From Extract to Load to Transform to Model to Visualization/Dashboarding. Doing all these steps well, often requires expensive proprietary technology or a highly technical internal team. If Meltano is able to truly deliver, it will be a game changer.| Hashpath
We’ve all worked with poorly documented dataset, and we all know it isn’t pretty. However, it’s surprisingly easy for teams to continue to fall into “documentation debt” and deprioritize this foundational work in favor of flashy new projects. These tradeoff discussions may become even more painful in 2024 as teams are continually asked to do more with less. Recently, I had the opportunity to articulate some of the underappreciated benefits of data documentation in a cross-post with ...| Emily Riederer
Documentation can be a make-or-break for the success of a data initiative, but it’s too often considered an optional nice-to-have. I’m a big believer that writing is thinking. Similarly, documenting is planning, executing, and validating. Previously, I’ve explored how we can create latent and lasting documentation of data products and how column names can be self documenting. Recently, I had the opportunity to expand on these ideas in a cross-post with Select Star. I argue that teams ca...| Emily Riederer
Quick Links Abstract Slides Video Slides Video In this four-minute lightning talk, I explain how Two Million Texans used components of our existing data stack to provide personalized success metrics and action recommendations to over 5,000 volunteers in the lead up to the 2022 midterm elections. I briefly describe our pipeline and how we frontloaded key computational steps in BigQuery to circumvent limitations of downstream tools.| Emily Riederer