Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Knowledge Hut

APRIL 23, 2024

This entails constant surveillance, threat detection, and the adoption of strict security procedures all along the data lifecycle. Data Governance and Compliance Creating Frameworks for Data Governance This involves developing a data policy, defining data ownership, and putting data governance procedures into practice.

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.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

ProjectPro

AUGUST 24, 2021

This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. 18) GCP Project to Explore Cloud Functions The three popular cloud service providers in the market are Amazon Web Services, Microsoft Azure, and GCP.

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