Thu.Aug 22, 2024

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Pip Install YOU: A Beginner’s Guide to Creating Your Python Library

KDnuggets

Have you ever wanted to create your library in Python? Well, it’s achievable and surprisingly quite easy!

Python 140
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Databricks Data Warehouse Brickbuilder Migration Solutions Help Businesses Democratize Data and Analytics

databricks

Today, we're excited to announce the launch of Data Warehouse Brickbuilder Migration Solutions. This is an expansion to the Brickbuilder Program , which.

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Top 5 Free Machine Learning Courses to Level Up Your Skills

KDnuggets

The article highlights five top free machine learning courses to enhance your skills.

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DAIS 2024: Unit tests - configuration and declaration

Waitingforcode

Code organization and assertions flow are both important but even them, they can't guarantee your colleagues' adherence to the unit tests. There are other user-facing attributes to consider as well.

Coding 130
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A Guide to Debugging Apache Airflow® DAGs

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

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What's new in Workflows?

databricks

Databricks Workflows is the cornerstone of the Databricks Data Intelligence Platform, serving as the orchestration engine that powers critical data and AI workloads.

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Inside the hardware and co-design of MTIA

Engineering at Meta

In this talk from AI Infra @ Scale 2024 , Joel Colburn, a software engineer at Meta, technical lead Junqiang Lan, and software engineer Jack Montgomery discuss the second generation of MTIA , Meta’s in-house training and inference accelerator. They cover the co-design process behind building the second generation of Meta’s first-ever custom silicon for AI workloads, including the PyTorch software ecosystem, and the model architectures for Meta’s key applications.

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4 Ways Gen AI Can Help Brand Advertisers and Ad Agencies

Snowflake

Uncertainty is the new norm for today’s brand advertisers and advertising agencies. Google has once again changed its stance on third-party cookies, keeping them for at least the time being. With the future of cookies still uncertain, many advertisers have already been preparing to use alternative targeting strategies, such as first-party data and contextual targeting.

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Unraveling the Threads: Data Fabric vs Data Mesh for Modern Enterprises

Precisely

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. Both architectures tackle significant data management challenges such as integrating disparate data sources, improving data accessibility, automating management processes, and ensuring data governance and security.

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Cloudera’s Bangalore Center of Excellence – Local Innovation Driving Global Impact

Cloudera

In the heart of India’s tech hub, Bangalore, you’ll find our Center of Excellence (CoE), an innovation hub focused on technological advancement. Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

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Elevate Your Tests: Testing Functional Kotlin with Arrow and Raise

Rock the JVM

An extensive guide to testing functional Kotlin code using Arrow and the Raise DSL

Coding 52
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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.

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Looking Ahead: The Future of Data Preparation for Generative AI

Data Science Blog: Data Engineering

Sponsored Post Generative AI is a significant part of the technology landscape. The effectiveness of generative AI is linked to the data it uses. Similar to how a chef needs fresh ingredients to prepare a meal, generative AI needs well-prepared, clean data to produce outputs. Businesses need to understand the trends in data preparation to adapt and succeed.

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Top Trends Shaping the Future of Business Intelligence

RandomTrees

Future Trends in Business Intelligence Business intelligence (BI) continues to evolve rapidly, driven by technological advancements and changing business needs. Here are some of the key trends currently transforming the BI landscape: 1. Artificial Intelligence and Machine Learning Integration AI and machine learning are becoming increasingly central to BI solutions.

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AWS Glue vs Informatica: A Comprehensive Comparison

Hevo

Businesses today rely heavily on efficient data integration and ETL (Extract, Transform, Load) tools to manage and analyze their data. Choosing the right tool can significantly impact an organization’s ability to process and utilize data effectively. AWS Glue and Informatica are prominent players offering unique features and benefits.

AWS 52
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An In-Depth Guide to Real-Time Analytics

Striim

It’s increasingly necessary for businesses to make immediate decisions. More importantly, it’s crucial these decisions are backed up with data. That’s where real- time analytics can help. Whether you’re a SaaS company looking to release a new feature quickly, or own a retail shop trying to better manage inventory, these insights can empower businesses to assess and act on data quickly to make better decisions.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Airbyte vs Airflow: Which Tool Should You Choose in 2024?

Hevo

In the world of data engineering, the choice of tools can significantly impact the efficiency and scalability of your data workflows. Two popular options are Airbyte and Apache Airflow. Both tools serve distinct purposes but often get compared due to their roles in managing data pipelines.

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Prompt Engineering Salary: A Comprehensive Guide

Edureka

Prompt engineering has become one of the most important areas in artificial intelligence, with companies seeking experienced professionals. This article will provide extensive information on prompt engineering salary, which has been rapidly changing in the recent past; the elements affecting salaries; the average wage and compensation; various career advancements; the influence of certifications on salaries; and the likely trends of salary in the near future.

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Data Quality Circles: The Key to Elevating Data and Analytics Team Performance

DataKitchen

Data Quality Circles: The Key to Elevating Data and Analytics Team Performance Introduction: The Pursuit of Quality in Data and Analytic Teams. According to a study by HFS Research, 75 percent of business executives do not have a high level of trust in their data. High-quality data underpins the reliability of insights, models’ accuracy, and decision-making processes’ efficacy.