Pickl AI

JULY 30, 2024

Flow-Based Programming : NiFi employs a flow-based programming model, allowing users to create complex data flows using simple drag-and-drop operations. This visual representation simplifies the design and management of data pipelines. Guaranteed Delivery : NiFi ensures that data delivered reliably, even in the event of failures.

ETL 52

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ODSC - Open Data Science

JUNE 19, 2023

As the name suggests, real-time operating systems (RTOS) handle real-time applications that undertake data and event processing under a strict deadline. In particular, its progress depends on the availability of related technologies that make the handling of huge volumes of data possible.

Big Data 96

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ODSC - Open Data Science

JANUARY 18, 2024

They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable. These professionals will work with their colleagues to ensure that data is accessible, with proper access. The reason this is an important skill is that ETL is a critical process for data warehousing and business intelligence.

Data Engineer 52

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Pickl AI

NOVEMBER 4, 2024

Key Takeaways Data Engineering is vital for transforming raw data into actionable insights. Key components include data modelling, warehousing, pipelines, and integration. Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

APRIL 29, 2024

Understanding Fivetran Fivetran is a popular Software-as-a-Service platform that enables users to automate the movement of data and ETL processes across diverse sources to a target destination. A common use case in healthcare for this connector type is ingesting data from external providers and vendors that deliver flat files.

SQL 52

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The MLOps Blog

MARCH 15, 2023

Data governance: Ensure that the data used to train and test the model, as well as any new data used for prediction, is properly governed. For small-scale/low-value deployments, there might not be many items to focus on, but as the scale and reach of deployment go up, data governance becomes crucial.

AWS 52

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Pickl AI

AUGUST 11, 2024

These tables are called “factless fact tables” or “junction tables” They are used for modelling many-to-many relationships or for capturing timestamps of events. Ensuring Data Consistency Maintaining data consistency across multiple fact tables can be challenging, especially when dealing with conformed dimensions.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Alation

OCTOBER 27, 2022

To answer this question, I sat down with members of the Alation Data & Analytics team, Bindu, Adrian, and Idris. Some may be surprised to learn that this team uses dbt to serve up data to those who need it within the company. Julie : Over the years I have witnessed and worked with multiple variations of ETL/ELT architecture.

Data Analyst 52

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Pickl AI

AUGUST 9, 2024

Data Integration Tools Technologies such as Apache NiFi and Talend help in the seamless integration of data from various sources into a unified system for analysis. Understanding ETL (Extract, Transform, Load) processes is vital for students. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

DagsHub

APRIL 7, 2024

Flexibility: Its use cases are wider than just machine learning; for example, we can use it to set up ETL pipelines. Flexibility: Airflow was designed with batch workflows in mind; it was not meant for permanently running event-based workflows. Since then, it has been adopted by hundreds of companies.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DagsHub

OCTOBER 23, 2024

They assist in efficiently managing and processing data from multiple sources, ensuring smooth integration and analysis across diverse formats. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. Transform the unstructured data into a more structured format.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Flipboard

MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. Users can write data to managed RMS tables using Iceberg APIs, Amazon Redshift, or Zero-ETL ingestion from supported data sources.

SQL 141

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phData

SEPTEMBER 27, 2024

Methods that allow our customer data models to be as dynamic and flexible as the customers they represent. In this guide, we will explore concepts like transitional modeling for customer profiles, the power of event logs for customer behavior, persistent staging for raw customer data, real-time customer data capture, and much more.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys.

Data Pipeline 52

Data Pipeline Data Warehouse Cloud Data ETL 52

Women in Big Data

JANUARY 25, 2025

Together with the Hertie School , we co-hosted an inspiring event, Empowering in Data & Governance. The event was opened by Aliya Boranbayeva , representing Women in Big Data Berlin and the Hertie School Data Science Lab , alongside Matthew Poet , representing the Hertie School.

Data Governance 52

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