databricks

JUNE 4, 2024

Over the last year, we’ve been listening to feedback and iterating on new ideas with a single goal: to build the best data-focused.

Building 138

Building Data 138

KDnuggets

JUNE 4, 2024

An evergreen approach to learning any new technology breakthroughs

Technology 137

Technology 137

Snowflake

JUNE 4, 2024

In today’s world, innovation doesn’t happen in a vacuum; collaboration can help technological breakthroughs happen faster. The rise of AI, for example, will depend on the collaboration between data and development. We’re increasingly seeing software engineering workloads that are deeply intertwined with a strong data foundation. Whether you’re part of a global data team or a solo developer, Snowflake’s AI Data Cloud is a single platform that helps you run development tasks (building apps, pipeli

Data Pipeline 122

Data Pipeline Python SQL Database 122

KDnuggets

JUNE 4, 2024

Master the Fundamentals of Predictive Modeling with Python: An In-Depth Guide to Machine Learning Algorithms and Sci-kit Learn Implementation.

Machine Learning 137

Machine Learning Python Algorithm 137

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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

Snowflake

JUNE 4, 2024

Generative AI presents enterprises with the opportunity to extract insights at scale from unstructured data sources, like documents, customer reviews and images. It also presents an opportunity to reimagine every customer and employee interaction with data to be done via conversational applications. These opportunities also come with challenges for data and AI teams, who must prioritize data security and privacy while rapidly deploying new use cases across the organization.

Data Security 121

Data Security Machine Learning Unstructured Data SQL 121

KDnuggets

JUNE 4, 2024

This tutorial covers five simple yet effective practices for writing better and maintainable Python functions.

Python 128

Python 128

databricks

JUNE 4, 2024

Introduction Today, manufacturers’ field maintenance is often more reactive than proactive, which can lead to costly downtime and repairs. Historically, data warehouses have.

Manufacturing 105

Manufacturing Data Warehouse Data 105

Confessions of a Data Guy

JUNE 4, 2024

The battle for the Data Warehouse, Data Lake, Lake House, or whatever you want to call it, in the age of AI just got more interesting. In an unsurprising move, Databricks has announced plans to buy Tabular for 1 billion dollars, beating out Snowflake who was reportedly trying to do the same thing. It’s well […] The post Databricks Buys Tabular – 1 Billion Dollar Deal.

Data Lake 100

Data Lake Data Warehouse IT Data 100

Jesse Anderson

JUNE 4, 2024

Unapologetically Technical’s newest episode is now live! In this episode of Unapologetically Technical, I interview AJ Hunyady, the founder and CEO of InfinyOn. We talked about his early experiences with networking systems, such as creating firewalls, email, and web servers, and how those prepared him for data work. We chatted about the various implications of Generative AI and LLMs for the current and future coders of the world.

Systems 100

Systems Process IT Data 100

Knowledge Hut

JUNE 4, 2024

A cyber security plan agrees on the security policies, procedures, and controls required to protect an organization against threats, risks, and vulnerabilities. A cyber security plan can also outline the precise steps to take to respond to a breach. A cyber security plan sets the typical actions for activities such as the encryption of email attachments and restrictions on the use of social media.

Insurance 98

Insurance Data Security Education Technology 98

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

Confluent

JUNE 4, 2024

Make a streaming stock chart with Alpaca (data), Kafka (orchestration), Flink SQL (processing), and Streamlit (UI/app). Pt. 1 (of 2) gets data via Kafka into Flink.

Kafka 75

Kafka SQL Process Data 75

Knowledge Hut

JUNE 4, 2024

Software engineers use a well-defined and systematic approach to develop software, and this strategy is thought to be the most efficient one for creating high-quality software. Software engineer challenges are common despite using a systematic approach to software development. For instance, the "build once, deploy everywhere" paradigm, in which a single application can run across various platforms, is now more frequently used to guide software engineering initiatives.

Software Engineer 98

Software Engineer Software Engineering Engineering Project 98

Confluent

JUNE 4, 2024

Dive into our 2024 Data Streaming Report to learn why 86% of 4,110 IT leaders cite data streaming as a top strategic or important priority for IT investments.

Data 69

Data IT 69

Monte Carlo

JUNE 4, 2024

Each year, Monte Carlo Carlo surveys real data professionals about the state of their data quality. This year, we turned our gaze to the shadow of AI to understand what’s happening right now, how it impacts data quality, and what data professionals are doing about it. And the results speak for themselves. While responses indicated that nearly 100% of data teams are actively pursuing AI applications, 68% said they weren’t completely confident in the quality of the data that powers it.

Architecture 69

Architecture Technology Building Database 69

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

know.bi

JUNE 4, 2024

Another two months after the 2.8.0 release, the Apache Hop community is proud to announce the availability of Apache Hop 2.9.0.

Data Integration 69

Data Integration Data Engineer Data Engineering Engineering 69

Confluent

JUNE 4, 2024

Learn why cloud-native architectures and data products have become essential for powering real-time fraud detection and personalization at Capital One.

Cloud 59

Cloud Government Architecture Data 59

Scott Logic

JUNE 4, 2024

It feels like we’re standing still, spinning our wheels, and – at times – sliding backwards. The 2010s saw a cultural shift in the UK public sector to embrace 21st-century approaches to commissioning and delivering digital public services. However, it feels like we’ve taken our foot off the pedal in the 2020s. Are lessons being unlearnt? In July 2011, the Public Administration Select Committee published its important review of UK Government technology procurement (snappily) titled Government and

IT 59

IT Government Consulting Technology 59

databricks

JUNE 4, 2024

The annual Data Team Awards spotlight data teams and the pivotal role they play in business operations across industries and markets. By continually.

Data 52

Data 52

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

Manufacturing

Precisely

JUNE 4, 2024

The journey to SAP S/4HANA , the next generation of SAP’s ERP system, promises improved performance, real-time analytics, and a simplified data model. But for many companies, the voyage is fraught with challenges, particularly regarding user interfaces (UIs). This article explores the struggle companies face in choosing the right UI for their SAP ERP environment, especially when dealing with a mix of systems due to mergers and acquisitions (M&A).

Process 52

Process Systems Designing Accessibility 52

Monte Carlo

JUNE 4, 2024

Monte Carlo and Snowflake customers can leverage Snowflake Native App framework to achieve data and AI reliability natively in the Data Cloud. As the AI-first data observability company, we’re pleased to announced that we’ve launched our data observability platform on Snowflake Marketplace to help companies gain AI-powered end-to-end visibility into the reliability of the data powering their most critical workloads—from data products to LLMs.

AWS 52

AWS Cloud Data Programming 52

Striim

JUNE 4, 2024

With the help of real-time machine learning (ML) analytics, it’s possible to overhaul your decision-making processes to be more efficient, accurate, and fast. Thanks to advanced real-time ML analytics, you can gain access to personalized recommendations, leverage continuous performance monitoring, harness the power of predictive analytics, and more — all in real time.

Machine Learning 52

Machine Learning Algorithm Healthcare Utilities 52

Knowledge Hut

JUNE 4, 2024

Data science is an interdisciplinary field that employs scientific techniques, procedures, formulas, and systems to draw conclusions and knowledge from a variety of structured and unstructured data sources. A data scientist is a person who is better at statistics than any programmer and better at programming than any statistician. Data science is the idea to "understand and analyzing actual phenomena" with data by integrating statistics, machine learning, data analysis, and their related

Data Science 52

Data Science Data Mining Media Recruitment 52

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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

Data Engineering

Monte Carlo

JUNE 4, 2024

We’re covering the Snowflake Summit conference keynote for the third straight year (check out our 2022 and 2023 recaps). For Snowflake Summit 2024, festivities have moved from the Las Vegas desert to the San Francisco bay—and with its return to the tech capital came a whole list of buzzy new announcements. Table of Contents Setting the stage Getting Geeky with Benoît Taking A Journey With Christian Kleinerman Strengthening the Data Foundation DocumentAI, Dynamic Tables, Iceberg, and Polaris Inte

Government 45

Government Coding Unstructured Data Machine Learning 45

Knowledge Hut

JUNE 4, 2024

If you've always wanted to learn how to use event binding in Angular, you've come to the right place. This article will discuss Angular's event binding and how to apply it to our Angular project. According to a report Google receives 8.55 billion searches every day. Now that we think about it, everything that happens is predicated on user inputs, most notably clicks on the search button.

Metadata 52

Metadata Coding Project Python 52

Cloudera

JUNE 4, 2024

It’s not a surprise that in today’s challenging economic landscape, rising costs pose a significant threat to the telecommunications industry. Consider that in 2022, Bain Capital was predicting that Telcos would grapple with increased personnel and escalating operating costs due to inflation. And here we are. To combat these challenges, telcos must proactively seek opportunities to streamline operations and optimize revenue streams.

Telecommunication 73

Telecommunication Cloud Recruitment Architecture 73

Knowledge Hut

JUNE 4, 2024

The pharmaceutical industry is one of the most innovative and competitive industries in the world. The pharmaceutical industry according to report has made a jump from $40 billion in 2021 to an expected $130 billion in 2030, with projections hitting $450 billion by 2047. With an extensive range of products, it has to be competitive on multiple fronts, from research and development to marketing and sales.

Pharmaceutical 52

Pharmaceutical Data Science Medical Machine Learning 52

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Software Engineer

Knowledge Hut

JUNE 4, 2024

Command-line interfaces (CLIs) built-in Node.js authorize automating repetitive tasks while leveraging the Node.js ecosystem. Package managers like npm and yarn are distributed and ingested across multiple platforms. The Nodejs Commander package is an excellent utility for creating a CLI with NodeJS. The Nodejs Commander package is the first choice to build command-line interface Node CLI as it offers many features to design CLI.

Process 52

Process Building Utilities Programming 52

Knowledge Hut

JUNE 4, 2024

Data visualization in data science is pivotal for effectively communicating insights. A picture is often worth more than thousands of words, especially when it comes to deciphering complex data. That's precisely why data visualization in data science is crucial across all stages of a data science project, from understanding the data to validating models.

Data Science 40

Data Science Datasets Data Machine Learning 40