Tue.Jul 23, 2024

article thumbnail

A New Standard in Open Source AI: Meta Llama 3.1 on Databricks

databricks

We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful.

145
145
article thumbnail

Visualizing Data: A Statology Primer

KDnuggets

This collection of tutorials from our sister site Statology center on data visualization. Learn more about visualizing your data right here.

Data 144
article thumbnail

Databricks on Databricks: Kicking off the Journey to Governance with Unity Catalog

databricks

In this blog, we are excited to share Databricks's journey in migrating to Unity Catalog for enhanced data governance. We'll discuss our high-level strategy and the tools we developed to facilitate the migration. Our goal is to highlight the benefits of Unity Catalog and make you feel confident about transitioning to it.

article thumbnail

How to Use Conditional Formatting in Pandas to Enhance Data Visualization

KDnuggets

Tired of staring at bland dataframes? Discover how conditional formatting in Pandas can transform your data visualization experience!

Data 142
article thumbnail

Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

article thumbnail

Building Industry IoT and M2M Solutions With Databricks for Communications

databricks

The communications industry is experiencing immense change due to rapid technological advancements and evolving market trends. Communications service providers (CSP) build various solutions.

Building 115
article thumbnail

Accelerate your data streaming journey with the latest in Confluent Cloud

Confluent

CC 2024 Q2 adds Flink Private Networking (AWS), Flink SQL Interactive Tables; Enterprise:Connect w/Confluent, Connector Custom Offsets; SI: Build w/Confluent, etc.

Cloud 69

More Trending

article thumbnail

Optimizing Hospital Operations with Machine Learning in Healthcare: A Data-Driven Approach

Striim

Real-time data and machine learning are revolutionizing how hospitals operate and deliver care. By adopting a data-driven approach to hospital optimization, healthcare professionals’ jobs become more efficient, allowing them to focus more on what truly matters: Patient health. Not to mention, hospital operation optimization reduces costs. Here’s everything you need to know about how hospitals can leverage advancements of machine learning in healthcare to streamline operations and moderniz

article thumbnail

Using Emerging Technologies to Address Data Lake Challenges

Hevo

The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT.

article thumbnail

Data Warehouse vs Data Lake vs Data Lakehouse – Key Comparisons

Hevo

With the vast amount of data being collected today for various purposes, there is an increasing need to find the proper data storage, which also heavily depends on your specific analytical objectives. The good news is that new technological possibilities are being introduced to accommodate both the need for scalable storage and efficient analysis.

article thumbnail

Apache Iceberg vs Delta Lake – Key Differences

Hevo

Businesses are increasingly investing in data lakehouses due to their reduced costs, streamlined workloads, support for real-time data processing, and better decision-making. The global data lakehouse market is estimated to be around USD 8.9 billion in 2023. Market research surveys1 predict a CAGR of 22.

article thumbnail

Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!