DuckDB Reviews

Hadoop Reviews

DuckDB mentions (15)

• Big Data Is Dead

  I have lived through the hype of Big data it was a time of HDFS+HTable I guess and Hapoop etc. One can't go wrong with DuckDB+SQLite+Open/Elasticsearch either with 6 to 8 even 10 TB of data. [0]. https://duckdb.org/. - Source: Hacker News / 20 days ago

• Tactical Cloud Audit Log Analysis with DuckDB - AWS CloudTrail

  More than once, I have been in a situation where I needed to query CloudTrail logs but was working in a customer environment where they weren’t aggregated to a search interface. Another similar situation is when CloudTrail data events are disabled for cost reasons but need to be temporarily turned on for troubleshooting/audit purposes. While the CloudTrail console offers some (very) limited lookups (for management... - Source: dev.to / 27 days ago

• How to choose the right type of database

  DuckDB: An in-process SQL OLAP database management system. While not a traditional OLAP database, DuckDB is designed to execute analytical queries efficiently, making it suitable for analytical workloads within data-intensive applications. - Source: dev.to / 4 months ago

• SIMD-Scan: Ultra Fast In-Memory Table Scan [pdf]

  Easiest way to practically use SIMD table scan database is try out DuckDB: https://duckdb.org/. - Source: Hacker News / 4 months ago

• 🎀 Domaine.nc data as Jupyter on Kaggle 📊

  Duckdb so we can make OLAP like queries on the data. - Source: dev.to / 7 months ago

Hadoop mentions (16)

• Navigating the Data Jungle. Data Analysis Software: A Comprehensive Guide

  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 / 11 days ago

• Getting thousands of files of output back from a container

  Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago

• 5 Best Practices For Data Integration To Boost ROI And Efficiency

  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

• Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges

  There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago

• Effortlessly Set Up a Hadoop Multi-Node Cluster on Windows Machines with Our Step-by-Step Guide

  A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago