2003 Architecture Big Data 
CTOvision
FEBRUARY 4, 2015
If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.
CTOvision
APRIL 13, 2015
Napatech has been providing industry leading network management and security accelerators to telcos, the financial industry, and enterprises since 2003. Analysis Architecture Big Data Cyber Security Napatech' For more see [link].
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CTOvision
JANUARY 18, 2015
This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.
Erik Bernhardsson
OCTOBER 27, 2015
I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering.
Erik Bernhardsson
OCTOBER 27, 2015
I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering.
Apiumhub
OCTOBER 18, 2022
On October 3-4 we organized and hosted the Global Software Architecture Summit in Barcelona. This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. Since 2003, she and her teams are using DDD to achieve this goal.
Cloudera
FEBRUARY 8, 2024
It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.
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