AWS Big Data

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. Querying all snapshots, we can see that we created three snapshots with overwrites after the initial one.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. Unified data fabric.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. Data streaming enables you to ingest data from a variety of databases across various systems.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

AWS Big Data

MARCH 28, 2023

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. The dataset represents employee details such as ID, name, address, phone number, contractor or not, and more. Delete the stack from the AWS CloudFormation console.

Data Lake 101

Data Lake Testing Snapshot Big Data 101