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Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. This episode is supported by Code Comments, an original podcast from Red Hat. My thanks to the team at Code Comments for their support.

Systems 130
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Unlocking Faster Insights: How Cloudera and Cohere can deliver Smarter Document Analysis

Cloudera

Document analysis is crucial for efficiently extracting insights from large volumes of text. For example, cancer researchers can use document analysis to quickly understand the key findings of thousands of research papers on a certain type of cancer, helping them identify trends and knowledge gaps needed to set new research priorities.

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How to Update Documents in Elasticsearch

Rockset

When building applications on change data capture (CDC) data using Elasticsearch, you’ll want to architect the system to handle frequent updates or modifications to the existing documents in an index. The index API retrieves the entire document, makes changes to the document and then reindexes the document.

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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog: Data Engineering

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. Infrastructure as Code (IaC) can be a game-changer in this scenario. So why using IaC for Cloud Data Infrastructures?

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ChatGPT for Coding: Unleash the Power of ChatGPT

Edureka

One of them is Chat GPT, a conversational model of AI that is a powerful chatbot that answers follow-up questions and writes code for the users. In this blog we will get to know about the perks of ChatGPT for coding. 4 Step 6: Receive a code through SMS or WhatsApp. 5 Step 7: After entering the code, select “New Chat.”

Coding 130
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Low-Code Data Connectors and Destinations

Towards Data Science

Get started with Airbyte and Cloud Storage Coding the connectors yourself? But beware, with ever-increasing data sources in your platform, that can only mean the following: Creating large volumes of code for every new connector. Maintaining complex code for every single data connector. Data flowing like cars in a highway.

Coding 53
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Snowflake Cortex AI Continues to Advance Enterprise AI with No-Code Development, Serverless Fine-Tuning and Managed Services to Build Chat-with-Data Applications

Snowflake

Cortex Search (public preview soon): Quickly and securely find information by asking questions within a given set of enterprise documents using the state-of-the-art Arctic embed model. Snowflake AI & ML Studio for LLMs (private preview): Enable users of all technical levels to utilize AI with no-code development.

Coding 91