Knowledge Hut

MARCH 28, 2024

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. Familiarity with ETL tools and techniques for data integration.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

JANUARY 30, 2024

Database Queries: When dealing with structured data stored in databases, SQL queries are instrumental for data extraction. SQL queries enable the retrieval of specific data subsets or the aggregation of information from multiple tables. Cleaning and validating data during the extraction process is crucial but can be challenging.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

MARCH 26, 2024

Extensive experience in data architecture, database design, and data warehousing. Proficiency in database technologies such as SQL, NoSQL, and Big Data platforms. Strong understanding of data governance, security, and compliance requirements.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

AltexSoft

AUGUST 29, 2023

For example, it might be set to run nightly or weekly, transferring large chunks of data at a time. Tools often used for batch ingestion include Apache Nifi, Flume, and traditional ETL tools like Talend and Microsoft SSIS. Real-time ingestion immediately brings data into the data lake as it is generated.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

FEBRUARY 21, 2023

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Businesses rely on the knowledge and skills of data engineers to deliver scalable solutions to their clients.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Databand.ai

JULY 19, 2023

However, ETL can be a better choice in scenarios where data quality and consistency are paramount, as the transformation process can include rigorous data cleaning and validation steps. It should be able to handle increases in data volume and changes in data structure without affecting the performance of the ELT process.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52