Bigstream Acceleration 2.0 delivers a level of TCO that is unmatched by other approaches. Check out our latest blog for details. https://t.co/jGm2CNTSDC
Data skew, memory config, thread allocation...? Not sure what's slowing your #ApacheSpark ETL? Read to learn how Bigstream can help diagnose the issue and accelerate your application https://t.co/W8nSwRWQ3e #ELT#ETL#BigData
We took a deep dive into how GPUs and FPGAs can accelerate Spark and how they differ. Here's a snippet and a link to the full talk https://t.co/UdUGM0JvDE
Bigstream can accelerate Spark clusters 3x with software alone and 10x when introducing field programmable gate arrays (FPGAs) @AWS_Partners https://t.co/RB2j7rmIpc
Customers can now upgrade their Apache Spark clusters 80% less expensively than in the past. This is a game changer. Click the link for more details. https://t.co/xQnRlja1kb
Chip shortages are disrupting production lines and are likely to continue for the foreseeable future. Read our blog to learn how to boost your big data plaforms performance among the shortage. https://t.co/5zLM3sXrqd #BigData
Customers can now upgrade their Apache Spark clusters 80% less expensively than in the past. This is a game changer. Click the link for more details. https://t.co/6zhRNEvaT7
Bigstream announces Acceleration 2.0! Combining caching and acceleration, customers can now upgrade their on prem Spark clusters at an 80% lower TCO. See the blog and webinar. https://t.co/INAke3vJ9A
The chip shortage has affected industries from pet grooming to gaming. Learn how to expand your big data platforms amidst the shortage. https://t.co/Ou3jFi074D
@ARKInvest predicts big data and AI will make accelerators a $41B industry by 2030. Learn about the industry forces driving this demand in this @TDWI piece https://t.co/3CncmNvisU
Bigstream helps companies efficiently discover patterns, reveal anomalies, make predictions and decisions, and generate insights. Read more to learn how Bigstream can improve your Apache Spark deployments. https://t.co/UGTBcaK1tz
CPU speed is no longer growing fast enough to keep up with demanding workloads, highly complex computing, and astronomical data growth, but specialized processors can fill the gap. #TDWIUpside | https://t.co/toaE2Tzc7m