Smart Data Collective

MAY 20, 2019

The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well. For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata.

Analytics 111

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Mlearning.ai

MAY 16, 2023

ETL Design Pattern The ETL (Extract, Transform, Load) design pattern is a commonly used pattern in data engineering. ETL Design Pattern Here is an example of how the ETL design pattern can be used in a real-world scenario: A healthcare organization wants to analyze patient data to improve patient outcomes and operational efficiency.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 30, 2024

Guaranteed Delivery : NiFi ensures that data delivered reliably, even in the event of failures. It maintains a write-ahead log to ensure that the state of FlowFiles preserved, even in the event of a failure. Provenance Repository : This repository records all provenance events related to FlowFiles.

ETL 52

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Pickl AI

SEPTEMBER 19, 2024

Hadoop, focusing on their strengths, weaknesses, and use cases. What is Apache Hadoop? Apache Hadoop is an open-source framework for processing and storing massive datasets in a distributed computing environment. What is Apache Spark? Spark, by contrast, supports both real-time and batch processing.

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Pickl AI

NOVEMBER 4, 2024

Key components of data warehousing include: ETL Processes: ETL stands for Extract, Transform, Load. ETL is vital for ensuring data quality and integrity. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

DagsHub

OCTOBER 23, 2024

Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. Unstructured.io

Machine Learning 52

Machine Learning Machine Learning AI Data Lakes 52