Mon.Jun 10, 2024

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Step-by-Step Tutorial to Building Your First Machine Learning Model

KDnuggets

Machine Learning model is an exciting project. Learn how to develop your first model that the company would want to use.

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Serverless Jupyter Notebooks at Meta

Engineering at Meta

At Meta, Bento , our internal Jupyter notebooks platform, is a popular tool that allows our engineers to mix code, text, and multimedia in a single document. Use cases run the entire spectrum from what we call “lite” workloads that involve simple prototyping to heavier and more complex machine learning workflows. However, even though the lite workflows require limited compute, users still have to go through the same process of reserving and provisioning remote compute – a process that takes time

SQL 117
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10 GitHub Repositories to Master SQL

KDnuggets

Learn SQL and databases through free courses, tutorials, tools, guides, books, practice exercises, projects, awesome lists, and other resources.

SQL 149
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Setting a Geoprocessing Extent Just Got Better in ArcGIS Pro 3.3

ArcGIS

Sketch an extent on your map and choose between more new features with the Processing Extent control in ArcGIS Pro 3.3!

Process 111
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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.

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How to Convert JSON Data into a DataFrame with Pandas

KDnuggets

This short tutorial will guide you through the process of converting JSON data into a Pandas DataFrame.

Data 139
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2024 Fortune Best Workplaces in Bay Area™ recognizes Databricks

databricks

In the dynamic, innovative landscape of the San Francisco Bay Area, Databricks stands out not just for our groundbreaking data and AI solutions.

Data 111

More Trending

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Announcing General Availability of Predictive Optimization

databricks

We're excited to announce the General Availability of Databricks Predictive Optimization. This capability intelligently optimizes your table data layouts for faster queries and.

Data 110
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Observability in Snowflake: A New Era with Snowflake Trail

Snowflake

Discovering and surfacing telemetry traditionally can be a tedious and challenging process, especially when it comes to pinpointing specific issues for debugging. However, as applications and pipelines grow in complexity, understanding what’s happening beneath the surface becomes increasingly crucial. A lack of visibility hinders the development and maintenance of high-quality applications and pipelines, ultimately impacting customer experience.

Python 107
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Databricks Announces 2024 Global Partner Awards

databricks

The Databricks Partner Ecosystem, comprising over 3,800 partners worldwide, plays a pivotal role in building and delivering premier data and AI solutions globally.

Building 107
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Data Engineering Weekly #175

Data Engineering Weekly

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Learn More → Cube Research: Crystallizing Snowflake Summit 2024 We should officially call the first week of June the data engineering week, as two major data companies are running their developer conference.

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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!

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Data Intelligence and AI Trends: Top products, RAG and more

databricks

Generative AI fever shows no signs of cooling off. As pressure and excitement build to execute strong GenAI strategies, data leaders and practitioners.

Data 98
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How to Use Flink SQL, Streamlit, and Kafka: Part 2

Confluent

This is the second part of our series that explains how to create a graph that updates in real time with Streamlit, Kafka, and Flink SQL.

Kafka 69
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SQL Explained: Ranking Analytics

Towards Data Science

What they are and how you use them Continue reading on Towards Data Science »

SQL 53
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Snowflake Summit 2024 Reflections: An Exciting Road Ahead for Data Engineering

Ascend.io

Snowflake Summit 2024 has set the stage for exciting changes in the data landscape. As a data enthusiast and a leader in data engineering, I’m eager to share my reflections on these innovations and their implications for Ascend. Here are my top five takeaways from our week at Moscone Center. #1 - AI and Machine Learning Continue to Be The New Frontier For me, the most exciting development from the Snowflake Summit 2024 was the enhanced focus on AI and machine learning.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How Macy’s Leveraged Striim’s Real-Time Data for Operational Excellence and Cost Savings

Striim

Macy’s, a leading American department store chain, embarked on a transformative journey to modernize its platform, streamline operations, and enhance customer experiences. Partnering with Striim and Google Cloud, Macy’s leveraged advanced data integration and cloud technologies to overcome significant challenges and achieve remarkable results.

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Top Python Frameworks for Data Science

Knowledge Hut

As a seasoned data scientist, I understand the pivotal role data plays in our field. Handling vast amounts of data is essential for maximizing career opportunities. The exponential growth of data, with 55-65 percent being unstructured, as reported by Forbes.com, poses significant challenges for analysis. Raw Python can be cumbersome and time-consuming to work with, underscoring the necessity for Python frameworks.

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Safety First: A Conversation Between Robinhood’s Security Team Leaders

Robinhood

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in. … The Robinhood team is incredibly excited to welcome Katelyn Perna as Crypto Chief Information Security Officer.

Finance 83
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How to Make an Ant Design (AntD) Table in React

Knowledge Hut

Data has become a crucial part of our work life as we need data for managing everything, and it is not a bad thing to have when it has affected many people and companies in a good way and helped them make a fortune. But everything comes down to how we visualize it. There are many ways in which data can be visualized - tubular, pie chart, etc., and one has to be very careful which type he chooses as it can even complicate things.

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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?