Cloudera

DECEMBER 9, 2024

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI). AMPs are all about helping you quickly build performant AI applications.

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Machine Learning Project Banking Accessible 75

DataKitchen

DECEMBER 9, 2024

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse.

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Precisely

DECEMBER 9, 2024

Key Takeaways: Interest in data governance is on the rise 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).

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Data Governance Government Data Integration Architecture 64

Monte Carlo

DECEMBER 9, 2024

Data quality for AI is essential. Why? AI without quality data is like a master chef without fresh ingredients. Hand either of them compromised raw materials and, no matter their expertise or sophisticated techniques, the end result will fall flat. You can have the smartest AI models in the world, but without clean, accurate data, youre setting your AI up to be less Einstein and more Mr.

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High Quality Data Unstructured Data Datasets Data 52

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

databricks

DECEMBER 9, 2024

Our customers continue to shift from monolithic prompts with general-purpose models to specialized agent systems to achieve the quality needed to drive ROI.

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Systems Data 136

ArcGIS

DECEMBER 9, 2024

Learn how to build a custom geoprocessing tool and about some new features, like Enable Undo for Script and Model tools, in ArcGIS Pro 3.

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Building Python 117

ArcGIS

DECEMBER 9, 2024

Spatial Analytics and Data Science capabilities across ArcGIS have been enhanced this fall with new tools and optimized experiences.

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Data Science Data 109

Sync Computing

DECEMBER 9, 2024

Infrastructure as Code (IaC) has revolutionized how we manage cloud resources, with Terraform emerging as the leading tool for this approach. The ability to define, version, and automate infrastructure through code has transformed operations from manual, error-prone processes into systematic, repeatable workflows. However, cluster configurations defined in Terraform are typically over-provisioned to guarantee performance and stability, leading to unnecessary costs.

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ArcGIS

DECEMBER 9, 2024

Learn about updates to Business Analyst Pros suitability analysis workflow in the November 2024 release.

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Business Analyst 78

databricks

DECEMBER 9, 2024

* Explore how startups using Databricks achieve higher revenue and innovation. * Learn about the Databricks Unicorn Index and its insights. * Discover real-world success stories from unicorns and emerging unicorns powered by the Databricks Data Intelligence Platform.

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Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

Cloudyard

DECEMBER 9, 2024

Read Time: 3 Minute, 13 Second Efficient resource management is essential for organizations leveraging Snowflake’s powerful data platform. With this Streamlit app , you can monitor Snowflake costs and resources in real time, providing actionable insights to optimize performance and reduce unnecessary expenses. Imagine managing a large-scale Snowflake environment with multiple users, warehouses, and roles.

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Utilities Coding Management Building 52

Confluent

DECEMBER 9, 2024

Follow along with an end-to-end real-time prediction project leveraging the combined capabilities of Confluent Cloud stacks and Google Cloud Vertex AI.

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Google Cloud Cloud Project 52

Engineering at Meta

DECEMBER 9, 2024

This summer, JetBrains, Meta, and Microsoft collaborated to conduct a comprehensive survey on the state of Python typing*. The survey aimed to understand how developers in the open source community are using type hints, the challenges they face, and the tools they rely on. Over 1,000 people took the survey and we are delighted to share the findings.

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Python Coding Media Systems 79

Cloudera

DECEMBER 9, 2024

As organizations increasingly integrate AI into day-to-day operations, scaling AI solutions effectively becomes essential yet challenging. Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. Cloudera tackles these challenges with the AI Inference service and tailored Solution Patterns developed by Clouderas Professional Services, empowering organizations to operationalize AI at scale across industries.

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Professional Services Data Ingestion Manufacturing Retail 74

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems