distributed

Examining the limitations of the SQL interfaceWritten by Kevin Kho and Han WangThis is a written version of our most recent Spark Data + AI Sumit talk.Shiba Inu Piloting an Airplane — Image by AuthorIn our last article, we talked about the limitations of using the Pandas interface for distributed computing. Some people quickly assumed that we are pro-SQL, but that is not exactly true either. Here, we’ll look at traditional SQL and the pain points of using it as the grammar for big data workflows. None of these will be too…

Why and How to Use Multiple GPUs for Distributed Training Data Scientists or Machine Learning enthusiasts training AI models at scale will inevitably reach a cap. When the datasets size increases, the processing time can increase from minutes to hours to days to weeks! Data scientists turn to the inclusion of multiple GPUs along with distributed training for machine learning models to accelerate and develop complete AI models in a fraction of the time.We will discuss the usefulness of GPUs versus CPUs for machine…

Thank you for joining us on “The cloud hub: From cloud chaos to clarity.” Organizations are seeking technology support to ready themselves for a rapidly changing world. Rafee Tarafdar of Infosys shares his perspective on 2022, and talks about how the world of technology understanding and implementation is taking a turn. Click here to continue. Thank you for joining us on “The cloud hub: From cloud chaos to clarity.” Organizations are seeking technology support to ready…

A deep look at the assumptions of the Pandas interfaceWritten by Kevin Kho and Han WangThis is a written version of our most recent PyCon talk.Photo by Jukan Tateisi on UnsplashOver the last year and a half, we’ve talked to data practitioners who want to move Pandas code to either Dask or Spark to take advantage of distributed computing resources. Their workloads were quickly becoming too compute-intense or their datasets would not fit in Pandas anymore, which only runs on a single machine.One of the recurring themes in…

Everything you need to know about this Hadoop ComponentPhoto by Marten Bjork on UnsplashApache HDFS is a distributed file system for storing large amounts of data in the area of Big Data and distributing it on different computers. This system enables Apache Hadoop to be run in a distributed manner across a large number of nodes, i.e. computers.Apache Hadoop is a software framework that can be used to quickly process large amounts of data on distributed systems. It has mechanisms that ensure stable and fault-tolerant…

From inside a tent, Evans and Whelihan placed instruments such as profiling sensors (left) into 36-inch holes drilled through the ice. A mounting framework (right) supported the laboratory-developed fiber platform and a winch moving the profiling sensors. Credit: Massachusetts Institute of Technology Despite its below-freezing temperatures, the Arctic is warming twice as fast as the rest of the planet. As Arctic sea ice…

Complemented by proven e-powertrain and thermal design competencies, the battery management capabilities contribute to Marelli’s integrated approach.New Delhi: Marelli, a leading global automotive supplier, on Monday announced expansion of its range of battery management technologies for electric vehicles with a new state-of-the-art Wireless Distributed Battery Management System (wBMS).This technology eliminates the wired physical connections typically needed in other Battery Management System (BMS) architectures,…