Kinetica in Motion
Keeping Up with the Kineticans: Irina Farooq
Welcome to “Keeping up with the Kineticans”, a casual interview series where we talk with some of our awesome teammates about life at Kinetica, their careers, and more. In this interview, I talked with Irina Farooq, our chief product …
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Keeping Up with the Kineticans: Dipti Joshi
Welcome to “Keeping up with the Kineticans”, a casual interview series where we talk with some of our awesome teammates about life at Kinetica, their careers, and more. In this interview, I talked with Dipti Joshi who’s a Product …
Read MoreKeeping Up with the Kineticans: Solongo Erdenekhuyag
Welcome to “Keeping up with the Kineticans”, a casual interview series where we talk with some of our awesome teammates about life at Kinetica, their careers, and more. In this interview, I talked with Solongo Erdenekhuyag who’s a PMO Manager …
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Good As Gold: Kinetica Kafka Connector Earns Top Certification from Confluent
We’re excited to announce that our Kinetica Kafka Connector has achieved Gold Certified status from Confluent! This will enable Kinetica users to better leverage Apache Kafka to stream data into and out of our Active Analytics Platform. Streaming data …
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Analyzing Meetup RSVPs with Kinetica – Part One
Introduction Geospatial data is everywhere. Mapping directions, tracking a package, and reading a weather report are all examples of how we use geospatial data in our daily lives. In recent years, the nature of geospatial data has changed. Data is …
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Converging Data Science and Data Engineering with Our Open Source Integration for RAPIDS
Recently, NVIDIA announced RAPIDS, an open source data science library that enables data scientists to accelerate model training and development by harnessing the power of the GPU. Today, we’re pleased to share our open source integration with RAPIDS to …
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Working with RAPIDS Using Kinetica’s pyGDF Open Source API
With the rise of GPU computing, streamlining the processing of data on GPUs has become critical to increase the speed and efficiency of machine learning. The RAPIDS open source data library is based on the Apache Arrow specification that’s also …
Read MoreGetting to Know the Automotive Grade Linux Community at AGL Dresden
Last week Kinetica took a trip to our first Automotive Grade Linux (AGL) All Members Meeting in Dresden! This follows our announcement in August that we’re now members of the Linux Foundation and AGL. The conference was a great opportunity …
Read MoreGPUs in Germany, a Recap from NVIDIA GTC Europe
Auf Wiedersehen Germany! Last week we wrapped up a highly successful GPU Technology Conference (GTC) Europe in Munich! GTC is NVIDIA’s international conference series, bringing together the top minds in deep learning, analytics, and of course GPUs for sessions, workshops, …
Read MoreBringing Data Science and Data Engineering Together with RAPIDS Open-Source Software From NVIDIA and Kinetica
In a significant step forward in enabling the adoption of AI at scale, NVIDIA today announced their latest GPU-powered innovation for data science, the RAPIDS suite of open-source libraries. RAPIDS will allow data scientists to move workflows for model training …
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