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

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds. Variety Variety indicates the different types of data being generated.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds. Variety Variety indicates the different types of data being generated.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

DECEMBER 4, 2024

According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes. Real-Time Data Processing The demand for real-time analytics is growing as businesses seek immediate insights to drive decision-making.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 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

phData

SEPTEMBER 27, 2024

It often involves specialized databases designed to handle this kind of atomic, temporal data. Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. It’s precise but can impact database performance.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52