Pickl AI

SEPTEMBER 18, 2024

Data in Motion Technologies like Apache Kafka facilitate real-time processing of events and data, allowing Netflix to respond swiftly to user interactions and operational needs. Conclusion Netflix’s application of Big Data across various business verticals illustrates how critical analytics are to modern enterprises.

Big Data 52

Big Data Big Data Apache Kafka Big Data Analytics 52

Pickl AI

DECEMBER 2, 2024

Real-time processing allows organisations to make timely decisions based on current data rather than relying on historical information.Technologies enabling real-time analytics include: Stream Processing Frameworks: Tools like Apache Kafka facilitate the continuous ingestion and processing of streaming data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

It allows organisations to make timely decisions based on current data rather than relying on historical information.Technologies enabling real-time analytics include: Stream Processing Frameworks: Tools like Apache Kafka facilitate the continuous ingestion and processing of streaming data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

The MLOps Blog

FEBRUARY 5, 2023

There are a number of tools that can help with streaming data collection and processing, some popular ones include: Apache Kafka : An open-source, distributed event streaming platform that can handle millions of events per second. It can be used to collect, store, and process streaming data in real-time.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

Pickl AI

JULY 29, 2024

Machine Learning and Predictive Analytics Hadoop’s distributed processing capabilities make it ideal for training Machine Learning models and running predictive analytics algorithms on large datasets. Organisations that require low-latency data analysis may find Hadoop insufficient for their needs.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Pickl AI

JULY 20, 2023

Root cause analysis is a typical diagnostic analytics task. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Implement real-time analytics to monitor trends or anomalies in the data.

Analytics 40

Analytics Analytics Big Data Big Data 40

phData

SEPTEMBER 27, 2024

Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. Activity Schema Processing : To capture and process customer activities, you might use a stream processing technology like Apache Kafka or Apache Flink.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52