Improvado.io
tray.io
Integrator.io iPaaS by Celigo
Jitterbit
Funnel.io
Supermetrics
Integrately
Azure API Management
Hadoop
Apache Spark
Apache Cassandra
PostgreSQL
Apache Flink
MongoDB
Apache Storm
Amazon EMR
Consolidate all your marketing data in one place to get better business insights. Speed up your decision-making process and quickly implement optimizations without wasting time crunching the data. Real-time reports & dashboards eliminate manual reporting time by 90%. That’s what’ve done before for Ancestry, Asus, AdRoll and we can do it for you. Collaborate effectively with your team, other departments, and stakeholders. No more Tedious Manual Work, Errors or Discrepancies. Book a demo now at improvado.io
Improvado.io HadoopNo features have been listed yet.
Based on our record, Hadoop seems to be more popular. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / about 6 hours ago
Data analysis software is also widely used in the telecommunications industry to manage network performance, detect fraud, and analyze customer data. Telecommunications companies can use data analysis software to analyze network data in real-time, allowing them to identify and address issues quickly. In addition, data analysis software can help telecommunications companies identify new revenue streams and improve... - Source: dev.to / 12 days ago
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
tray.io - Enterprise-scale integration platform
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Integrator.io iPaaS by Celigo - Next-Generation iPaaS integration platform
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Jitterbit - Jitterbit is an open source integration software that helps businesses connect applications, data and systems.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.