Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. A data engineer develops, constructs, tests, and maintains data architectures. What does a data engineer do – details The architecture that a data engineer will be working on can include many components.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Edureka

FEBRUARY 9, 2023

As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. An Azure Data Engineer with these skills can effectively design, implement, and manage complex data-driven solutions that can drive business success.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

AltexSoft

JUNE 26, 2023

They can be accumulated in NoSQL databases like MongoDB or Cassandra. Luckily, the situation has been gradually changing for the better with the evolution of big data tools and storage architectures capable of handling large datasets, no matter their type (we’ll discuss different types of data repositories later on.)

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

NOVEMBER 23, 2021

This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. In many cases, companies choose two-tier architectures, in which source data is first extracted and loaded into a data lake and then undergoes several ETLs to reach purpose-built data warehouses and/or data marts.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

JANUARY 19, 2022

The Microsoft Certified Data Engineer is in charge of creating the data flow's complete architecture while also considering the company's business requirements. According to Dice Insights, data engineering was the top trending career in the technology industry in 2019, beating out computer scientists, web designers, and database architects.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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. Architecture Testing: This testing verifies that data processing is proper and fulfills business requirements.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

OCTOBER 8, 2021

With Big Data becoming a big deal in any industry, all tools provide a scalable data integration architecture and utilize powerful parallel processing technology for better scalability and performance. IBM DataStage Designer interface. Snaplogic iPaaS architecture. They include NoSQL databases (e.g., Source: G2.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. Differentiate between relational and non-relational database management systems.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40