phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

SEPTEMBER 6, 2021

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? The Google trends graph above shows how the two technologies have increased over the years, with AWS maintaining a significant margin over GCP. But not long after Google launched GCP in 2008, it began gaining market traction.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

MAY 22, 2024

Putting Availability into Practice Engaging a backup system and a BCDR plan is important for maintaining data availability. Employing cloud solutions like AWS, Azure, or Google Cloud for data storage services is one of the methods by which an organization can enhance the availability of data for its consumers.

IT 98

IT Banking Healthcare Finance 98

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.)

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

MARCH 27, 2024

A public version of this best big data tool was created in 2008 by Facebook. Features: With Cassandra, you can store data quickly and process it efficiently on efficient commodity hardware. Data can be structured, semi-structured, or unstructured, and users can change the data according to their requirements.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52