Knowledge Hut

APRIL 23, 2024

Whether you know it or not, this article will help you understand how companies ride the big data wave without merely getting stuck by the massive volume. Go for the best Big Data courses and work on ral-life projects with actual datasets.

Big Data 52

Big Data Retail Recruitment Transportation 52

AltexSoft

AUGUST 29, 2023

After residing in the raw zone, data undergoes various transformations. The data cleansing process involves removing or correcting inaccurate records, discrepancies, or inconsistencies in the data. Data enrichment adds value to the original data set by incorporating additional information or context.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

phData: Data Engineering

AUGUST 4, 2023

Once the data is loaded into Snowflake, it can be further processed and transformed using SQL queries or other tools within the Snowflake environment. This includes tasks such as data cleansing, enrichment, and aggregation. They require the user to provide credentials to access the external cloud storage service.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

ProjectPro

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

phData: Data Engineering

JULY 18, 2023

Better Transparency: There’s more clarity about where data is coming from, where it’s going, why it’s being transformed, and how it’s being used. Improved Data Governance: This level of transparency can also enhance data governance and control mechanisms in the new data system.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52