Mlearning.ai

AUGUST 4, 2023

To achieve the task effectively, the definition for large enterprises was provided to ChatGPT, including the following categories: ‘500 to 999 employees’, ‘5,000 to 9,999 employees’, ‘1,000 to 4,999 employees’, and ‘10,000 or more employees’. Apache Kafka and R abbitMQ are particularly popular in LEs. NET Framework (1.0–4.8)’

Database 52

Database Apache Kafka SQL AI 52

Pickl AI

OCTOBER 21, 2024

Data Definition Language (DDL) DDL allows users to define the structure of the database. It manipulates data using SQL (Structured Query Language). It offers high performance and supports SQL queries, making it a modern solution for large-scale applications. Famous examples include MySQL , PostgreSQL, and Oracle.

Database 52

Database Apache Kafka Machine Learning Machine Learning 52

Pickl AI

JULY 8, 2024

Definition and Explanation of Data Pipelines A data pipeline is a series of interconnected steps that ingest raw data from various sources, process it through cleaning, transformation, and integration stages, and ultimately deliver refined data to end users or downstream systems.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

DagsHub

APRIL 7, 2024

Thanks to its various operators, it is integrated with Python, Spark, Bash, SQL, and more. Also, while it is not a streaming solution, we can still use it for such a purpose if combined with systems such as Apache Kafka. This also means that it comes with a large community and comprehensive documentation. How mature is it?

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DagsHub

OCTOBER 23, 2024

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

SEPTEMBER 27, 2024

Instead of simple SQL queries, we often need to use more complex temporal query languages or rely on derived views for simpler querying. Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. But the power of logs doesn’t stop there.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52