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
Single-Object Copy/Transform Capability| AIStore
The current state of the art involves executing data pre-processing, augmentation, and a wide variety of custom ETL workflows on individual client machines. This approach lacks scalability and often results in significant performance degradation due to unnecessary data movement. Unlike most open-source and cloud ETL solutions, AIStore performs transformations on the same machines that store your data, minimizing redundant transfers by exploiting data locality.| AIStore
Recent analyses indicate that approximately 90% of the world’s data has been generated within the past two years, and according to IDC, the volume of data stored globally is doubling approximately every four years. That’s the projection from IDC’s Global DataSphere Forecast, and it underscores the urgent need for businesses to make sense of rapidly … Continue reading Top Databricks Use Cases That Are Changing the Game in Business Analytics The post Top Databricks Use Cases That Are Ch...| Credencys Solutions Inc.
Providing a fast and simple way to replicate data from Postgres to ClickHouse has been a top priority for us over the past few months. Last month, we acquired PeerDB, a company that specializes in Postgres CDC. We're actively integrating PeerDB into ...| PeerDB Blog
We are thrilled to join forces with ClickHouse to make it seamless for customers to move data from their Postgres databases to ClickHouse and power real-time analytics and data warehousing use cases. We released the ClickHouse target connector for Po...| PeerDB Blog
At PeerDB, security has always been a top priority. Our customers trust us with their critical data, and we are dedicated to upholding the highest standards of data protection and security. We are excited to announce that PeerDB has achieved SOC 2 Ty...| PeerDB Blog
At PeerDB, we are building a fast and simple way to replicate data from Postgres to data warehouses like Snowflake, ClickHouse etc. and queues such as Kafka, Redpanda etc. We implement Postgres Change Data Capture (CDC) to reliably replicate changes ...| PeerDB Blog
🚀 Today, we're excited to announce that PeerDB Cloud is officially entering public beta. If you're a data engineer or an organization looking for a fast, simple, and cost-effective way to replicate data from Postgres to data warehouses such as Snowf...| PeerDB Blog
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
At PeerDB, we provide a fast and cost-effective way to replicate data from Postgres to Data Warehouses such as Snowflake, BigQuery, ClickHouse, and queues like Kafka, Red Panda and Google PubSub, among others. A few months ago, we added a ClickHouse ...| PeerDB Blog
pg_dump and pg_restore are reliable tools for backing up and restoring Postgres databases. They're essential for database migrations, disaster recovery and so on. They offer precise control over object selection for backup/restore, dump format option...| PeerDB Blog
PeerDB offers a fast and cost-effective way to move data from PostgreSQL to data warehouses, such as Snowflake, and to queues like Kafka. This enables businesses to have real-time and reliable access to data, which is of utmost importance in this AI ...| PeerDB Blog
Inspired by the 1BR Challenge, I wanted to see how much it would cost to transfer 1 billion rows from Postgres to Snowflake. Moving 1 billion rows is no easy task. The process involves not just the transfer of data but ensuring its integrity, error r...| 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
Data is no longer just an operational asset these days, it’s a core driver of innovation, customer experience, and business growth. But as organizations scale and diversify their data sources, traditional ETL (Extract, Transform, Load) tools are struggling to keep up. Legacy ETL platforms like Informatica, Talend, and Microsoft SSIS were designed for simpler times, … Continue reading Databricks ETL vs Traditional ETL Tools: What’s the Real Difference? The post Databricks ETL vs Traditio...| Credencys Solutions Inc.
Single-Object Copy/Transform Capability| AIStore
The current state of the art involves executing data pre-processing, augmentation, and a wide variety of custom ETL workflows on individual client machines. This approach lacks scalability and often results in significant performance degradation due to unnecessary data movement. Unlike most open-source and cloud ETL solutions, AIStore performs transformations on the same machines that store your data, minimizing redundant transfers by exploiting data locality.| AIStore
Simplify and accelerate your BI report migration to Databricks with HatchWorks AI—reducing errors and boosting performance.| HatchWorks AI
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
So I wanted to upload CSV to DynamoDB.Easy right?Not so fast. It turns out, you have to obey your provisioned write capacity. Unlike S3, "Simple Storage Service" where you simply upload a file, DynamoDB isn't "Simple". There's no "upload CSV" bu...| Cognitive Computations
Explore the best methods for integrating with Snowflake, including DreamFactory, APIs, ETL, and Data Sharing, to optimize your data strategy.| blog.dreamfactory.com
Data mapping tools have evolved significantly over the past years. Find out how you can choose the right data mapping tool in 2023.| Astera
This blog post explains the basic concepts of data warehousing and further elaborates on the uses of data warehouses in different industries.| Astera
Discover how data aggregation software tools can help you with data collection from scattered sources. Find the list of data aggregation tools and their comparison.| Skyvia Blog
Explain point-to-point integration, including its pros, cons, and alternative methods| Skyvia Blog
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
In the last few months, I have been working on refreshing my Expression Templates Library (ETL) project with modern C++. I am happy to report that I have now finished the refresh. It took me longer th| Blog blog("Baptiste Wicht");
How I decreased the compilation of DLL neural networks using C++17.| Blog blog("Baptiste Wicht");
Few things I've found out durign migration of ETL to C++17.| Blog blog("Baptiste Wicht");
Release of the version 1.2.1 of the Expression Templates Library (ETL) project with faster GPU support and new features.| Blog blog("Baptiste Wicht");
Optimization of advanced patterns for GPU performance in Expression Templates Library (ETL)| Blog blog("Baptiste Wicht");
Presentation of Deep Learning Library (DLL) 1.0, a very fast neural network library| Blog blog("Baptiste Wicht");
I'm happy to announce the version 1.2 of my Expression Templates Library (ETL): ETL 1.2, two months after I released the version 1.1. This version features much better GPU Support, a few new features| Blog blog("Baptiste Wicht");
Explanation on how I made DLL library 38% faster to compile with optimizations and using C++17 if constexpr.| Blog blog("Baptiste Wicht");