ODSC - Open Data Science

MARCH 20, 2025

30% Off ODSC East, Fan-Favorite Speakers, Foundation Models for Times Series, and ETL Pipeline Orchestration The ODSC East 2025 Schedule isLIVE! 15 Fan-Favorite Speakers & Instructors Returning for ODSC East2025 Over the years, weve had hundreds of speakers present at ODSC events. Register by Friday for 30%off.

ETL 52

ETL Data Science Machine Learning Machine Learning 52

Smart Data Collective

APRIL 29, 2020

Extraction, Transform, Load (ETL). Profisee notices changes in data and assigns events within the systems. Microsoft Azure. The Azure platform has a variety of tools for setting up data management systems, and analytics tools that can be applied to the stored data. Private cloud deployments are also possible with Azure.

Data Warehouse 98

Data Warehouse Azure SQL ETL 98

Data Science Blog

JUNE 21, 2023

Cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), provide scalable and flexible infrastructure options. What makes the difference is a smart ETL design capturing the nature of process mining data. But costs won’t decrease only migrating from on-premises to cloud and vice versa.

Big Data 130

Big Data Big Data Data Engineering Data Engineering 130

Dataconomy

SEPTEMBER 4, 2023

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them. It seeks to identify the root causes of specific outcomes or issues.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

IBM Data Science in Practice

FEBRUARY 21, 2023

But it’s interoperable on any cloud like Azure, AWS or GCP. You can use OpenScale to monitor these events. It focus on the monitoring and retraining policies that are keen for continious training. The provided code to this article refers to IBM’S CP4D and demonstrates how a continuous training could be implemented.

Machine Learning 130

Machine Learning Machine Learning AI AI 130

Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

JANUARY 18, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Interested in attending an ODSC event? Learn more about our upcoming events here.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 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. Our team frequently configures Fivetran connectors to cloud object storage platforms such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

ODSC - Open Data Science

FEBRUARY 6, 2025

Lets dive into the schedule and key events that will shape this years conference. Data Science & AINews DeepSeek R1 Now Available on Azure AI Foundry and GitHub, Expanding AI Accessibility for Developers Microsofts Azure AI Foundry has added DeepSeek R1 to its growing portfolio of over 1,800 AI models at a time with AI shakeups.

AI 52

AI AI Azure ETL 52

phData

FEBRUARY 14, 2023

Fivetran Fivetran is a tool dedicated to replicating applications, databases, events, and files into a high-performance data warehouse, such as Snowflake. This is a great solution for those wanting to perform data ingestion into Snowflake who may already have other services with Azure. The biggest reason is the ease of use.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

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. Apache Kafka Kafka is a distributed event streaming platform for building real-time data pipelines and streaming applications.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

MARCH 19, 2025

Apache Kafka Apache Kafka is a distributed event streaming platform used for real-time data processing. Talend Talend is a data integration tool that enables users to extract, transform, and load (ETL) data across different sources. Microsoft Azure Synapse Analytics : A cloud-based analytics service for Big Data and Machine Learning.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

APRIL 24, 2024

Failed Webhooks If webhooks are configured and the webhook event fails, a notification will be sent out. Proactive Monitoring & Faster Troubleshooting : Teams may easily monitor and debug operations by using Slack to receive rapid notifications on pipeline events like task completions and errors.

Data Pipeline 52

Data Pipeline ETL Azure Analytics 52

Pickl AI

JULY 24, 2023

Online Gaming: Online gaming platforms require real-time data ingestion to handle large-scale events and provide a seamless experience for players. Data warehousing and ETL (Extract, Transform, Load) procedures frequently involve batch processing.

Internet of Things 52

Internet of Things Apache Kafka ETL Azure 52

DagsHub

OCTOBER 23, 2024

Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. is similar to the traditional Extract, Transform, Load (ETL) process. Unstructured.io

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

OCTOBER 28, 2024

Modern low-code/no-code ETL tools allow data engineers and analysts to build pipelines seamlessly using a drag-and-drop and configure approach with minimal coding. One such option is the availability of Python Components in Matillion ETL, which allows us to run Python code inside the Matillion instance. 30 minutes).

Python 52

Python ETL AWS Database 52

phData

SEPTEMBER 27, 2024

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. Rich Context: Each event carries with it a wealth of contextual information. What is Activity Schema Modeling?

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52