Data Lakes Database Download 
ODSC - Open Data Science
SEPTEMBER 12, 2023
Be sure to check out his talk, “ What is a Time-series Database and Why do I Need One? Most data scientists are familiar with the concept of time series data and work with it often. The time series database (TSDB) , however, is still an underutilized tool in the data science community. at ODSC West 2023.
AWS Machine Learning Blog
OCTOBER 24, 2024
This new data from outside of the LLM’s original training data set is called external data. The data might exist in various formats such as files, database records, or long-form text. You can build and manage an incremental data pipeline to update embeddings on Vectorstore at scale. Choose Create notebook.
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AWS Machine Learning Blog
OCTOBER 11, 2024
This post dives deep into Amazon Bedrock Knowledge Bases , which helps with the storage and retrieval of data in vector databases for RAG-based workflows, with the objective to improve large language model (LLM) responses for inference involving an organization’s datasets. The LLM response is passed back to the agent.
The MLOps Blog
JANUARY 23, 2023
However, there are some key differences that we need to consider: Size and complexity of the data In machine learning, we are often working with much larger data. Basically, every machine learning project needs data. First of all, machine learning engineers and data scientists often use data from different data vendors.
phData
JULY 10, 2023
An external table is a Snowflake feature that lives outside of a database in a text-based, delimited file or in a fixed-length format file. It can be used to store data outside the database while retaining the ability to query its data. This file will be consumed in the Snowflake database using the COPY command.
AWS Machine Learning Blog
SEPTEMBER 1, 2023
These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.
Alation
FEBRUARY 13, 2020
Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.
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