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

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

Confluent

JULY 10, 2019

KSQL provides a nice collection of built-in SQL functions for use in functional transformation logic when doing stream processing, whether the need is scalar functions for working with data a row at a time or aggregate functions used for grouping multiple rows into one summary record of output. Decode decode = new Decode() @Unroll.

Kafka 87

Kafka Java Bytes SQL 87

Confluent

MAY 29, 2019

Building event streaming applications using KSQL is done with a series of SQL statements, as seen in this example. But I also wanted to introduce the pipeline concept: a group of SQL statements that work together to define an end-to-end process. Mapping streams and tables to a SQL script hierarchy. Table created. Not exactly.

Kafka 95

Kafka Management Bytes SQL 95