Dataconomy

JUNE 18, 2025

Rise of data lakes Data lakes originated in Hadoop clusters during the early 2000s and offered a cost-effective means of storing a variety of data types, including structured, semi-structured, and unstructured data. Decoupled storage and compute: Enhanced scalability through separate server clusters for storage and processing.

91

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Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

Internet of Things 156

Internet of Things Azure AWS Cloud Computing 156

phData

NOVEMBER 8, 2024

Partitioning and clustering features inherent to OTFs allow data to be stored in a manner that enhances query performance. Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Towards AI

JULY 17, 2023

Colab was first introduced in 2017 as a research project by Google. The Good — Ease of use The key differentiator of Google Colab is its ease of use; the distance from starting a Colab notebook to utilizing a fully working TPUs cluster is super short.

Machine Learning 96

Machine Learning Machine Learning Data Analysis Data Analysis 96

Cambridge Intelligence

OCTOBER 19, 2023

In this post, we’ll take a look at some of the factors you could investigate, and introduce the six databases our customers work with most often: Amazon Neptune ArangoDB Azure Cosmos DB JanusGraph Neo4j TigerGraph Why these six graph databases?

Database 59

Database Azure Analytics Analytics 59

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer.

AWS 107

AWS ML ML Clustering 107