Towards Data Science

JANUARY 26, 2023

This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., Before we get started, let’s be clear…when using cloud storage, it is usually not recommended to work with files that are particularly large. The three we will evaluate here are: Python boto3 API, AWS CLI, and S5cmd.

Cloud Storage 69

Cloud Storage Big Data Cloud AWS 69

Netflix Tech

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 95

Cloud Bytes Cloud Storage Media 95

ProjectPro

JANUARY 24, 2023

These benefits compel businesses to adopt cloud data warehousing and take their success to the next level. Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Tweag

APRIL 19, 2023

Most training pipelines and systems are designed to handle fairly small, sub-megapixel images. Thankfully, cloud-based infrastructure is now an established solution which can help do this in a cost-effective way. A solution is to read the bytes that we need when we need them directly from Blob Storage.

Medical 59

Medical Process Cloud Bytes 59

Confluent

JULY 10, 2019

But like most SQL engines, there is often a need to write custom functions to reduce the complexity of certain SQL operations as repeatable design patterns. jar Zip file size: 5849 bytes, number of entries: 5. jar Zip file size: 11405084 bytes, number of entries: 7422. While the CASE syntax now available since KSQL 5.2.2

Kafka 87

Kafka Java Bytes SQL 87

Confluent

MAY 29, 2019

This wasn’t very difficult; Gradle has a built-in FileTree object which is designed to deal with file hierarchies in which file order dependency is managed by a simple FileTree.sort() call. This was by design, which makes sense if you think about it. 6 objects dropped. 6 objects created. m2 directory. id 'maven-publish'.

Kafka 95

Kafka Management Bytes SQL 95