Data Ingestion Data Platform Python 
AWS Machine Learning Blog
JUNE 18, 2024
The solution harnesses the capabilities of generative AI, specifically Large Language Models (LLMs), to address the challenges posed by diverse sensor data and automatically generate Python functions based on various data formats. The solution only invokes the LLM for new device data file type (code has not yet been generated).
ODSC - Open Data Science
SEPTEMBER 29, 2023
Arjuna Chala, associate vice president, HPCC Systems For those not familiar with the HPCC Systems data lake platform, can you describe your organization and the development history behind HPCC Systems? They were interested in creating a data platform capable of managing a sizable number of datasets.
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The MLOps Blog
MARCH 15, 2023
A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process. Data Ingestion : Involves raw data collection from origin and storage using architectures such as batch, streaming or event-driven.
The MLOps Blog
JANUARY 26, 2024
Keeping track of how exactly the incoming data (the feature pipeline’s input) has to be transformed and ensuring that each model receives the features precisely how it saw them during training is one of the hardest parts of architecting ML systems. All of them are written in Python. This is where feature stores come in.
ODSC - Open Data Science
JULY 19, 2023
Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.
TransOrg Analytics
SEPTEMBER 24, 2024
Snowflake Data Engineering Solutions Maximize the potential of your data with Snowflake’s data cloud. Our services harness Snowflake’s powerful features to architect, build, and manage a modern data platform. Secure Data Sharing: Share data securely within and across organizations.
The MLOps Blog
MARCH 21, 2023
.” — Conor Murphy , Lead Data Scientist at Databricks, in “Survey of Production ML Tech Stacks” at the Data+AI Summit 2022 Your team should be motivated by MLOps to show everything that goes into making a machine learning model, from getting the data to deploying and monitoring the model. What do they want to accomplish?
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