Women in Big Data

OCTOBER 9, 2024

Data Ingestion: Data is collected and funneled into the pipeline using batch or real-time methods, leveraging tools like Apache Kafka, AWS Kinesis, or custom ETL scripts. Data Processing (Preparation): Ingested data undergoes processing to ensure it’s suitable for storage and analysis.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

ODSC - Open Data Science

JUNE 1, 2023

We’re going to assume that the pizza service already captures orders in Apache Kafka and is also keeping a record of its customers and the products that they sell in MySQL. Apache Pinot is a real-time OLAP database built at LinkedIn to deliver scalable real-time analytics with low latency.

Analytics 98

Analytics Analytics Apache Kafka Data Science 98

Pickl AI

AUGUST 9, 2024

Big Data Technologies and Tools A comprehensive syllabus should introduce students to the key technologies and tools used in Big Data analytics. Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

DECEMBER 4, 2024

Real-Time Data Processing The demand for real-time analytics is growing as businesses seek immediate insights to drive decision-making. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. With the advent of technologies like edge computing and stream processing frameworks (e.g.,

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

MARCH 19, 2025

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. offers Data Science courses covering essential data tools with a job guarantee. The global Big Data and data engineering market, valued at $75.55

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52