Towards AI

FEBRUARY 29, 2024

Last Updated on February 29, 2024 by Editorial Team Author(s): Hira Akram Originally published on Towards AI. Within this article, we will explore the significance of these pipelines and utilise robust tools such as Apache Kafka and Spark to manage vast streams of data efficiently. Next, we run an SQL query to extract the data.

Apache Kafka 140

Apache Kafka SQL Clustering Data Pipeline 140

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.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

NOVEMBER 4, 2024

billion by 2031, growing at a CAGR of 25.55% during the forecast period from 2024 to 2031. million in 2024 and is projected to grow at a CAGR of 26.8% billion in 2024 to USD 774.00 during the forecast period from 2024 to 2032. The global data warehouse as a service market was valued at USD 9.06 from 2025 to 2030.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

DECEMBER 9, 2024

billion in 2024 and reach a staggering $924.39 What is Apache Hive? Hive is a data warehouse tool built on Hadoop that enables SQL-like querying to analyse large datasets. What are the Key Features of Apache Hive? Explain the Role of Apache HBase. What is Apache Kafka, and Why is it Used?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

Pickl AI

OCTOBER 21, 2024

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. Facebook As of 2024, Facebook is the largest social media platform globally, boasting approximately 3.07 Famous examples include MySQL , PostgreSQL, and Oracle.

Database 52

Database Apache Kafka Machine Learning Machine Learning 52

Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52