AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? Let’s discuss and compare them to avoid misconceptions.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

MARCH 28, 2024

Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

SEPTEMBER 26, 2021

Mid-Level Big Data Engineer Salary Big Data Software Engineer's Salary at the mid-level with three to six years of experience is between $79K-$103K. Knowledge and experience in Big Data frameworks, such as Hadoop , Apache Spark , etc., Data is the most significant element for any professional working in Data Science.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. This flexibility allows organizations to ingest data from virtually anywhere. This integration simplifies data access and management within the Azure cloud environment.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

JULY 27, 2021

Read more for a detailed comparison between data scientists and data engineers. How is a data architect different from a data engineer? Data architect Data engineers Data architects visualize and conceptualize data frameworks.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59