ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. The purpose of ETL is to provide a centralized, consistent view of the data used for reporting and analysis. Extract, transform, and load data into a target system.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

JANUARY 18, 2024

Power BI is a business intelligence tool that enables users to extract data from multiple sources, use Power Query and M-Query for data transformation, data visualization, data modeling and relationships, DAX and calculated columns, share and embed the report, and more.

BI 52

BI Data Cleanse Business Intelligence Datasets 52

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. If data scientists and analysts are pilots, data engineers are aircraft manufacturers.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

MAY 3, 2023

A data analyst is responsible for analyzing large data sets and extracting insights from them. On the other hand, a data engineer is responsible for designing, developing, and maintaining the systems and infrastructure necessary for data analysis. Technical and soft skills are equally necessary for data analysts.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98

AltexSoft

MARCH 2, 2023

Data security is the set of processes that prioritize certain data based on its sensitivity and implement measures to protect it across all online and offline platforms. Data modeling involves creating a conceptual representation of data objects and their relationships to each other, as well as the rules governing those relationships.

Data Governance 52

Data Governance Government Programming Healthcare 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop Relational Database AWS 52