KDnuggets

MAY 2, 2024

Get up and running with Docker with this tutorial on containerizing Python applications.

Python 148

Python 148

Christophe Blefari

MAY 2, 2024

My personal collection of the best resources to bootstrap a data team and get inspired from what others are doing.

Building 130

Building Data 130

KDnuggets

MAY 2, 2024

Exploring the Test-Driven Development Paradigm in Python

Python 133

Python 133

Snowflake

MAY 2, 2024

To accurately answer business questions using LLMs, companies must augment models with their data. Retrieval Augmented Generation (RAG) is a popular solution to this problem, as it integrates the organization’s factual, real-time data into the prompt for the LLM. While the adoption of RAG has increased, an open question remains: How do enterprises know how effective their system is?

Cloud 120

Cloud Systems Building IT 120

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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.

Architecture

databricks

MAY 2, 2024

Unlock the power of advanced sports analytics with Databricks Marketplace and Delta Sharing. Discover how these platforms are transforming the sports industry by enabling seamless data access, collaboration, and real-time insights. Leverage a diverse array of data assets to optimize performance, enhance fan engagement, and gain a competitive edge. Explore the future of sports analytics, powered by Databricks.

Data 111

Data Accessibility Accessible Entertainment 111

Confessions of a Data Guy

MAY 2, 2024

Have you ever wondered about being explicit in your code vs being vague? I think about this a lot as I’m writing code on a daily basis. I’ve found I like being explicit and verbose when writing code, rather than being vague in what I’m doing most of the time. When it comes to debugging […] The post Reading and Processing JSON with Rust vs Python. appeared first on Confessions of a Data Guy.

Python 100

Python Process Coding Data 100

Snowflake

MAY 2, 2024

Snowflake Marketplace is designed to give customers and organizations a place to easily find, try and buy data, apps and AI products that help solve their most pressing business problems. We have more than 540 providers, offering over 2,400 live, ready-to-use data products (as of Jan 31, 2024), so there are many options to help you enrich your own data resources, build new data apps and leverage the power of AI on Snowflake.

Electronics 94

Electronics Media Accessibility Accessible 94

Knowledge Hut

MAY 2, 2024

If you are a machine learning enthusiast and stay in touch with the latest developments, you would have definitely come across the news “Machine learning identifies links between the world's oceans” Wait, we all know how complex it would be to analyse a concept such as oceans and their behaviour which would undoubtedly involve billions of data points associated with many critical parameters such as wind velocities, temperatures, earth’s rotation and many such.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

Uber Engineering

MAY 2, 2024

Learn how Uber serves over 40 million reads per second from its in-house, distributed database built on top of MySQL using an integrated caching solution: CacheFront.

MySQL 81

MySQL Database IT 81

Knowledge Hut

MAY 2, 2024

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python, and R and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

Java 98

Java Hadoop Scala SQL 98

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!

Data

Towards Data Science

MAY 2, 2024

Four advanced tricks to give your data science and machine learning classes the edge you never knew they needed Continue reading on Towards Data Science »

Python 80

Python Data Science Machine Learning Data 80

Knowledge Hut

MAY 2, 2024

Automation and machine learning have changed our lives. From the most technologically savvy person working in leading digital platform companies like Google or Facebook to someone who is just a smartphone user, there are very few who have not been impacted by artificial intelligence or machine learning in some form or the other; through social media, smart banking, healthcare or even Uber.

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

Uber Engineering

MAY 2, 2024

Accelerating Tomorrow: How Uber Turbocharges AI/ML Frontiers.

77

77

Knowledge Hut

MAY 2, 2024

The work scenario today is stretching workplace flexibilities to accommodate the needs of professionals. Globally stationed offices have also made extending flexible workplaces a norm. Working remotely is the new trend that is transcending industries. While working remotely comes with its own set of benefits, it isn’t well-suited for some industries or professions.

IT 98

IT Management Project Building 98

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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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Uber Engineering

MAY 2, 2024

Learn how Uber improved mobile testing reliability, and increased productivity for thousands of engineers, using machine learning to create DragonCrawl, a highly stable and low-maintenance testing system.

Machine Learning 76

Machine Learning Engineering Systems 76

Knowledge Hut

MAY 2, 2024

The main reason most projects move to Agile is they would like to see results fast. These results cannot be achieved quickly if there is a lack of clarity on the outcome, this is where the user story comes in. You might also find it interesting to go through User Stories examples. User stories are like mini single-line business requirements which tell you the Who for, Why, and What to develop.

Business Analyst 98

Business Analyst Project Certification Management 98

Uber Engineering

MAY 2, 2024

Innovatively scaling its chat channel, Uber’s Customer Obsession Team enhanced global support by transitioning 36% of contact volume to chat, leveraging a new architecture that slashed error rates from 46% to 0.45%, showcasing a significant leap in efficiency and customer satisfaction.

Building 71

Building Architecture IT 71

Knowledge Hut

MAY 2, 2024

A study published recently in the Journal of Applied Psychology found that, “the pandemic has resulted in people getting more stressed and less engaged at work” Covid-times have brought to the fore the shortcomings of the traditional workplace. Organizations are relying on HR to deal with new age disruptions like lack of engagement, employee retention and motivation.

Recruitment 98

Recruitment Government Technology Project 98

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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?

Business Intelligence

Precisely

MAY 2, 2024

In the digital era, your data is a crucial key to operational success – and the strategic importance of SAP customer master data can’t be overstated. When it comes to customer-related transactions and analytics, your data’s integrity, accuracy, and accessibility directly impact your business’s ability to operate efficiently and deliver value to customers.

Coding Skills 69

Coding Skills Food Data Portfolio 69

Knowledge Hut

MAY 2, 2024

Why We Need Big Data Frameworks Big data is primarily defined by the volume of a data set. Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute. As estimated by DOMO : Over 2.5 quintillion bytes of data are created every single day, and it’s only going to grow from there.

Hadoop 96

Hadoop Scala Datasets Java 96

Uber Engineering

MAY 2, 2024

Migrating money data with peace of mind. Learn how Uber moved its Money related data spanning trillion of rows & petabytes in size flawlessly.

Data 65

Data IT Engineering 65

Knowledge Hut

MAY 2, 2024

Test automation is one of the most cost-effective and time-saving methods to test software products with long maintenance cycles. TestComplete and Selenium are the two most important automation testing tools which provide an open platform for you to easily build continuous testing frameworks to test non-stop with a lightweight execution engine and distributed testing.

Programming Language 92

Programming Language Java Programming Python 92

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Cloud

Uber Engineering

MAY 2, 2024

Learn about how Uber presents a consistent view of distributed financial data across earners, spenders, and merchants powered by indexes in Uber’s homegrown ledger-style database, LedgerStore.

Database 56

Database Data 56

Knowledge Hut

MAY 2, 2024

Apache Spark was developed by a team at UC Berkeley in 2009. Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. The demand has been ever increasing day by day. According to marketanalysis.com survey, the Apache Spark market worldwide will grow at a CAGR of 67% between 2019 and 2022.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

Uber Engineering

MAY 2, 2024

Want to improve the reliability of your Presto cluster with just a few lines of code? Come read how we reduced errors by 90% through improving garbage collection.

Coding 54

Coding Data 54

Knowledge Hut

MAY 2, 2024

In this day it’s very common for companies to shuffle teams and move around people depending on where they are needed or where the company is shorthanded. And one of the major challenges faced is that of effective team building. While the companies face the challenge of team building, the individuals have their own issues to deal with - fitting in.

IT 52

IT Project Building 52

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

Uber Engineering

MAY 2, 2024

With the introduction of Model Excellence Scores at Uber, we’re setting a new standard for measuring, monitoring, and maintaining ML model quality–read how this innovative approach aims to enhance ML governance and provide clearer insights.

Machine Learning 54

Machine Learning Systems Government Data 54

Knowledge Hut

MAY 2, 2024

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python, and R and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

Hadoop 52

Hadoop Java Scala Programming Language 52

Uber Engineering

MAY 2, 2024

Get behind-the-scenes access to Uber’s financial finesse. Explore Uber’s commitment to flawless financials with data-driven excellence.

Data 45

Data Accessibility Accessible Engineering 45

Knowledge Hut

MAY 2, 2024

Let’s have a quick warm up on the resource management before we dive into the discussion on virtualization and dockers. In today’s multi-technology environments, it becomes inevitable to work on different software and hardware platforms simultaneously. The need to run multiple different machines (Desktops, Laptops, handhelds, and Servers) platforms with customized hardware and software requirements has given the rise to a new world of virtualization in IT industry.

Python 52

Python Bytes Cloud Computing Coding 52

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Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

Cloud