Fri.Sep 20, 2024

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How To Modernize Your Data Strategy And Infrastructure For 2025

Seattle Data Guy

We are still in the early days of data and the value it can add to companies. You’ll read plenty of statistics about how much value data can drive and how far behind companies that aren’t using data are. And as a data consultant, I have helped companies find that value in their data. It… Read more The post How To Modernize Your Data Strategy And Infrastructure For 2025 appeared first on Seattle Data Guy.

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How to Import Data into BigQuery

KDnuggets

Data come from everywhere, and the number of origins, sources, and formats under which valuable data may appear underscores the need for database management tools capable of loading data from multiple sources. This tutorial illustrates how to load datasets from different formats and sources into Google BigQuery. All the prerequisites we need are having registered.

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Announcing GA of AI Model Sharing

databricks

Special thanks to Daniel Benito (CTO, Bitext), Antonio Valderrabanos(CEO, Bitext), Chen Wang (Lead Solution Architect, AI21 Labs), Robbin Jang (Alliance Manager, AI21 Labs).

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VoiceChat with Your LLMs using AlwaysReddy

KDnuggets

Rapid development is happening around us, and one of the most interesting aspects of this evolution is artificial intelligence's ability to communicate through natural language with humans. Suppose you want to communicate with some LLM running on your computer without switching between applications or windows, just by using a voice hotkey. This is exactly what.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Thinking Inside the Box: How to Solve the Bin Packing Problem with Ray on Databricks

databricks

Introduction The bin packing problem is a classic optimization challenge that has far-reaching implications for enterprise organizations across industries. At its core, the.

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Snowflake Monitoring with Snowflake Trail

Hevo

As developers and data engineers build complex applications in Snowflake, monitoring performance is essential for ensuring smooth operation and a positive customer experience. Snowflake operations can be tracked using Snowsight, which provides tools for managing costs, tracking query history, monitoring data loading and transformations, and overseeing data governance activities.

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Setting Up CDC with Oracle, Debezium, Kafka Connect [+ A No-Code Solution]

Hevo

Batch Processing is a commonly used data integration method to capture data changes in a database. It runs on a schedule to fetch either incremental or a full data extract. However, this method is inefficient when data latency causes significant performance strain on the source systems.

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Why do I explain to my manager what technical debt is

DareData

In software development and other information technology fields, technical debt (also known as design debt [1] or code debt ) is the implied cost of future reworking because a solution prioritizes expedience over long-term design. Analogous with monetary debt , if technical debt is not repaid, it can accumulate "interest", making it harder to implement changes.