article thumbnail

Five Ways to Run Analytics on MongoDB – Their Pros and Cons

Rockset

The benefit of these tools is that they’re built specifically for data analytics. They support joins and their column orientation allows you to quickly and effectively carry out aggregations. Data warehouses scale well and are well-suited to BI and advanced analytics use cases. Additionally, this approach doesn’t scale well.

MongoDB 52
article thumbnail

14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement. Sorting and restricting data. Using Conditional Expressions and Conversion functions Reporting Aggregated Data Using Group Functions Displaying data taken from multiple tables.

Insiders

Sign Up for our Newsletter

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

article thumbnail

AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98
article thumbnail

DynamoDB Filtering and Aggregation Queries Using SQL on Rockset

Rockset

Further, data is king, and users want to be able to slice and dice aggregated data as needed to find insights. Users don't want to wait for data engineers to provision new indexes or build new ETL chains. They want unfettered access to the freshest data available.

SQL 52
article thumbnail

The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

Data in Elasticsearch is organized into documents, which are then categorized into indices for better search efficiency. Each document is a collection of fields, the basic data units to be searched. Fields in these documents are defined and governed by mappings akin to a schema in a relational database.

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).