U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. What are some examples of non-relational databases?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Cloud Academy

JANUARY 27, 2022

The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

SEPTEMBER 11, 2021

This blog contains a list of business analyst interview questions and answers. You will find it helpful if you are a hiring manager who is looking for business analyst questions to ask during an interview and also if you are a job seeker who is interested in business analyst jobs.

Business Analyst 52

Business Analyst Database-centric MySQL SQL 52

AltexSoft

AUGUST 29, 2023

These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Common structured data sources include SQL databases like MySQL, Oracle, and Microsoft SQL Server. This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

NOVEMBER 19, 2023

Open Source Support: Many Azure services support popular open-source frameworks like Apache Spark, Kafka, and Hadoop, providing flexibility for data engineering tasks. Data scientists, data engineers, and business analysts may collaborate more easily thanks to the Databricks platform.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

NOVEMBER 16, 2023

You must be good at listening, advising, and explaining as you will be working with software architects, project teams, and business analysts. Deep analytical skills: You must have an understanding of how the business works. Data Storage As a Solutions Architect, you must have knowledge of databases.

AWS 52

AWS Cloud Computing Certification Architecture 52