Knowledge Hut

MAY 2, 2024

It is used in Credit Card Processing, Fraud detection, Machine learning, and data analytics, IoT sensors, etc Cost As it is part of Apache Open Source there is no software cost. It has out-of-the-box support for spark-shell for scala/python/R Machine Learning/Graph Processing No support for these.

Scala 96

Scala Hadoop Datasets Java 96

Striim

AUGUST 31, 2023

The goal of kappa architecture is to reduce the cost of data integration by providing an efficient and real-time way of managing large datasets. Additionally, it allows for efficient processing of both real-time and historical data which eliminates the need for multiple versions of the same dataset or manually managed systems.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Knowledge Hut

NOVEMBER 28, 2023

These pipelines help you configure storage that can change the data engineer skills and tools required for ETL/ELT injection. AI and Machine Learning AI and machine learning, along with application and knowledge of algorithms, continues to be an important part of data engineer skills.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. Support Reverse ETL Initiatives Like Personalization 29. Data observability platforms deploy machine learning monitors that detect issues as they become anomalous and provide the full context to data teams allowing them to jump into action.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. Support Reverse ETL Initiatives Like Personalization 29. Data observability platforms deploy machine learning monitors that detect issues as they become anomalous and provide the full context to data teams allowing them to jump into action.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

ProjectPro

NOVEMBER 30, 2021

When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. Source-Driven Extraction The source notifies the ETL system when data changes, triggering the ETL pipeline to extract the new data.

Process 52

Process Data Pipeline Data Warehouse AWS 52