ProjectPro

JUNE 6, 2025

Athena by Amazon is a powerful query service tool that allows its users to submit SQL statements for making sense of structured and unstructured data. It is a serverless big data analysis tool. You do have to pay the cost associated with the data stored.

AWS 67

AWS SQL Big Data Raw Data 67

Ascend.io

NOVEMBER 14, 2024

BigQuery is a fully managed data warehouse that enables super-fast SQL queries using the processing power of Google’s infrastructure, providing scalability and flexibility for large-scale data analysis. These techniques minimize the amount of data that needs to be processed at any given time, leading to significant cost savings.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Data Integration 52

ProjectPro

JUNE 6, 2025

The first step in this project is to extract data using the Reddit API, which provides a set of endpoints that allow users to retrieve data from Reddit. Once the data has been extracted, it needs to be stored in a reliable and scalable data storage platform like AWS S3. Tech Stack: Amazon EC2, Apache HDFS, Python.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Let us compare traditional data warehousing and Hadoop-based BI solutions to better understand how using BI on Hadoop proves more effective than traditional data warehousing- Point Of Comparison Traditional Data Warehousing BI On Hadoop Solutions Data Storage Structured data in relational databases.

BI 40

BI Hadoop Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

One of the leading cloud service providers, Amazon Web Services (AWS ), offers powerful tools and services that can propel your data analysis endeavors to new heights. With AWS, you gain access to scalable infrastructure, robust data storage, and cutting-edge analytics capabilities.

AWS 52

AWS Certification Data Analytics Big Data 52

Knowledge Hut

OCTOBER 6, 2023

Using Data Analytics to Learn abilities: The AWS Data Analytics certification is a great way to learn crucial data analysis abilities. It covers data gathering, cloud computing, data storage, processing, analysis, visualization, and data security.

AWS 52

AWS Certification Data Analytics IT 52

Databand.ai

JUNE 8, 2023

Key components of an observability pipeline include: Data collection: Acquiring relevant information from various stages of your data pipelines using monitoring agents or instrumentation libraries. Data storage: Keeping collected metrics and logs in a scalable database or time-series platform.

Data Pipeline 52

Data Pipeline Bytes Data Collection Raw Data 52