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The Dawn of the AI-Native Data Stack - Part 1

Data Engineering Weekly

Centralized factories and monolithic data systems became too rigid and expensive to scale, unable to cope with the increasing complexity of manufacturing and the explosion of diverse, unstructured data in the digital age.

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Building a Data Platform in 2024

Towards Data Science

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed? csv files to share query results.

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What is a Data Pipeline (and 7 Must-Have Features of Modern Data Pipelines)

Striim

Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL. What is a Data Pipeline? A data pipeline refers to a series of processes that transport data from one or more sources to a destination, such as a data warehouse, database, or application.

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Ingest Data Faster, Easier and Cost-Effectively with New Connectors and Product Updates

Snowflake

Bringing in batch and streaming data efficiently and cost-effectively Ingest and transform batch or streaming data in <10 seconds: Use COPY for batch ingestion, Snowpipe to auto-ingest files, or bring in row-set data with single-digit latency using Snowpipe Streaming.

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Top 20 Artificial Intelligence Project Ideas in 2023

Knowledge Hut

AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.

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4 Ways Better Access to Healthcare Data Can Improve Patient Outcomes

Snowflake

But all of this important data is often siloed and inaccessible or in hard-to-process formats, such as DICOM imaging, clinical notes or genomic sequencing. Healthcare organizations must ensure they have a data infrastructure that enables them to collect and analyze large amounts of structured and unstructured data at the point of care.

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Securely Connect to LLMs and Other External Services from Snowpark

Snowflake

For example, data enrichment scenarios could require connecting to the Google Maps API, where users can fetch specific coordinates for an address to optimize transportation routing. Now users with USAGE privilege on the CHATGPT function can call this UDF.