Open source has been very advantageous to the big data community. With its ready-to-go code, open source software has enabled companies to get products to market faster. But it has always carried a certain amount of risk. The OpenSSL Heartbleed security vulnerability in 2014 is just one examp...
Run big data applications using open-source frameworks without managing clusters and servers Amazon EMR Serverless is a serverless option inAmazon EMRthat makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters ...
Beheer, catalogiseer en verwerk onbewerkte data met Oracle Big Data. Creëer een krachtig data lake dat naadloos integreert in bestaande architecturen en data gemakkelijk met gebruikers verbindt.
The proposed big data platform uses open source components for real-time geolocation tracking processing. The platform collects location information over Message Queue Telemetry Transport protocol to Apache Kafka, and then information is processed using Apache Storm, which guarantees fault tolerance, ...
TDengine is an open-sourced big data platform underGNU AGPL v3.0, designed and optimized for the Internet of Things (IoT), Connected Cars, Industrial IoT, and IT Infrastructure and Application Monitoring. Besides the 10x faster time-series database, it provides caching, stream computing, message...
TDengine is an open-sourced big data platform underGNU AGPL v3.0, designed and optimized for the Internet of Things (IoT), Connected Cars, Industrial IoT, and IT Infrastructure and Application Monitoring. Besides the 10x faster time-series database, it provides caching, stream computing, message...
Elevondata offers next-gen big data analytics consulting using Data Management, RPA, Regtech, Robotic Process Automation, and Cloud solutions leveraging technologies such as Cloudera, Hortonworks, Talend, MongoDB and more to optimize business processes.
While thenumberof tools in the Open Source Big Data and Streaming Ecosystem still grows, frameworks that are around for a long time become highlymatureandfeature rich, some may say “enterprise ready”. Thus, it’s not surprising to me to see a lot of my customers who are new to the wh...
The database world now has two camps: the internet-centric, open-source-based world of scalable distributed databases, where much of the recent big data innovation has occurred; and the enterprise-centric world of traditional, heavily siloed, relational database management systems, where much of ...
Some of the most popular tools for working with big data, such as Hadoop and Spark, have been maintained and developed by the Apache Software Foundation, a nonprofit organization that supports many open-source software projects. Working with big data presents certain challenges. Storing large ...