Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

Data Science 400

Data Science Machine Learning Machine Learning Analytics 400

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. This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

phData

MAY 3, 2024

How Snowflake Helps Achieve Real-Time Analytics Snowflake is the ideal platform to achieve real-time analytics for several reasons, but two of the biggest are its ability to manage concurrency due to the multi-cluster architecture of Snowflake and its robust connections to 3rd party tools like Kafka. Looking for additional help?

Apache Kafka 52

Apache Kafka Analytics Analytics ETL 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. Data Visualization and Business Intelligence Tableau Tableau has revolutionized data visualization, offering a user-friendly platform for creating interactive dashboards and reports.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

DECEMBER 2, 2024

Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily. Machine Learning Algorithms: These algorithms can identify patterns in data and make predictions based on historical trends.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily. Machine Learning Algorithms: These algorithms can identify patterns in data and make predictions based on historical trends.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

AUGUST 9, 2024

Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js APIs Understanding how to interact with Application Programming Interfaces (APIs) to gather data from external sources.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52