Seattle Data Guy

SEPTEMBER 20, 2024

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.

Consulting 130

Consulting Data IT Data Warehouse 130

KDnuggets

SEPTEMBER 20, 2024

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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127

databricks

SEPTEMBER 20, 2024

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

Management 121

Management Data 121

KDnuggets

SEPTEMBER 20, 2024

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.

Datasets 125

Datasets Data Database Management 125

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Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

Datasets

databricks

SEPTEMBER 20, 2024

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

Manufacturing 105

Manufacturing IT 105

DareData

SEPTEMBER 20, 2024

In software development and other information technology fields, technical debt (also known as design debt 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.

Software Engineer 52

Software Engineer Software Engineering Data Engineering Data Engineer 52

Hevo

SEPTEMBER 20, 2024

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.

Coding 52

Coding Kafka Database Data Integration 52

DareData

SEPTEMBER 20, 2024

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.

Management 52

Management Software Engineer Software Engineering Data Engineering 52