Knowledge Hut

NOVEMBER 17, 2023

Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

DECEMBER 7, 2021

Image Credit: altexsoft.com Below are some essential components of the data pipeline architecture: Source: It is a location from where the pipeline extracts raw data. Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 25, 2022

Features of PySpark Features that contribute to PySpark's immense popularity in the industry- Real-Time Computations PySpark emphasizes in-memory processing, which allows it to perform real-time computations on huge volumes of data. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency.

Big Data 52

Big Data Data Process Process Kafka 52

Edureka

FEBRUARY 9, 2023

Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

SEPTEMBER 26, 2023

The duties and responsibilities that a Microsoft Azure Data Engineer is required to carry out are all listed in this section: Data engineers provide and establish on-premises and cloud-based data platform technologies. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Learning SQL is essential to comprehend the database and its structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

AUGUST 11, 2021

Any inconsistencies found in the data are removed, and all gaps that can be filled are filled to ensure that the data maintains integrity. Data Warehouse Layer: Once the data is transformed into the required format, it is saved into a central repository.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

NOVEMBER 14, 2015

Data Migration RDBMSs were inefficient and failed to manage the growing demand for current data. This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. Data Description The dataset for this project is of two types: batch data and stream data.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

NOVEMBER 22, 2021

Python has a large library set, which is why the vast majority of data scientists and analytics specialists use it at a high level. If you are interested in landing a big data or Data Science job, mastering PySpark as a big data tool is necessary. Is PySpark a Big Data tool?

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52