Remove Hadoop Remove MySQL Remove Non-relational Database Remove SQL
article thumbnail

Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Hard Skills SQL, which includes memorizing a query and resolving optimized queries. Apache Hadoop-based analytics to compute distributed processing and storage against datasets.

article thumbnail

Data Engineering Glossary

Silectis

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Cassandra A database built by the Apache Foundation. Hadoop / HDFS Apache’s open-source software framework for processing big data.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Power BI vs Tableau: Which Data Visualization Tool is Right for You?

Knowledge Hut

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data. How is Tableau different from Power BI?

BI 98
article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

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. RDBMS is a part of system software used to create and manage databases based on the relational model.

article thumbnail

Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

It dwells in special repositories known as relational or SQL databases since experts use structured query language (SQL) to manipulate tables and retrieve records. Relational vs non-relational databases As we mentioned above, relational or SQL databases are designed for structured or tabular data.

article thumbnail

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

article thumbnail

IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

AltexSoft

ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats. They include NoSQL databases (e.g., MongoDB), SQL databases (e.g., Pre-built connectors.