Sat.Mar 04, 2023 - Fri.Mar 10, 2023

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Advanced NumPy: Broadcasting and Strides

Analytics Vidhya

Introduction NumPy is an open-source library in python and a must-learn if you want to enter the data science ecosystem. It is the library underpinning other important libraries such as Pandas, matplotlib, Scipy, scikit-learn, etc. One of the reasons this library is so foundational is because of its array of programming capabilities. Array programming, or […] The post Advanced NumPy: Broadcasting and Strides appeared first on Analytics Vidhya.

Python 269
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Fear not, for AI coding is here to help you!

KDnuggets

Sponsored Post Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software.

Coding 159
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Exploring The Nuances Of Building An Intential Data Culture

Data Engineering Podcast

Summary The ecosystem for data professionals has matured to the point that there are a large and growing number of distinct roles. With the scope and importance of data steadily increasing it is important for organizations to ensure that everyone is aligned and operating in a positive environment. To help facilitate the nascent conversation about what constitutes an effective and productive data culture, the team at Data Council have dedicated an entire conference track to the subject.

Building 147
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Announcing Topiary

Tweag

Topiary aims to be a universal formatter engine within the Tree-sitter ecosystem. Named after the art of clipping or trimming trees into fantastic shapes, it is designed for formatter authors and formatter users: Authors can create a formatter for a language without having to write their own formatting engine, or even their own parser. Users benefit from uniform, comparable code style, across multiple languages, with the convenience of a single formatter tool.

Coding 139
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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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Top 6 Amazon S3 Interview Questions

Analytics Vidhya

Introduction S3 is Amazon Web Services cloud-based object storage service (AWS). It stores and retrieves large amounts of data, including photos, movies, documents, and other files, in a durable, accessible, and scalable manner. S3 provides a simple web interface for uploading and downloading data and a powerful set of APIs for developers to integrate S3.

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ChatGPT vs Google Bard: A Comparison of the Technical Differences

KDnuggets

The Biggest Rivalry: ChatGPT vs Google Bard! Here's a comparison of the technical differences between the two AI engines.

More Trending

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Table file formats are on the cloud

Waitingforcode

There is always a gap between a disruption in the data engineering industry and its integration on the cloud. It was not different for table file formats which have started gaining interest on AWS, Azure, GCP recently.

Cloud 130
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Top 6 Cassandra Interview Questions

Analytics Vidhya

Introduction Apache Cassandra is a NoSQL database management system that is open-source and distributed. It is meant to handle massive volumes of data across many commodity servers while maintaining high availability with no single point of failure. Facebook created Cassandra, which ultimately became an Apache Software Foundation project. It is well-known for its rapid write […] The post Top 6 Cassandra Interview Questions appeared first on Analytics Vidhya.

NoSQL 252
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4 Ways to Generate Passive Income Using ChatGPT

KDnuggets

Discover how you can leverage ChatGPT to generate passive income.

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Pandas 2.0 and its Ecosystem (Arrow, Polars, DuckDB)

Simon Späti

Data manipulation and analysis can be challenging and involve working with large datasets. Thankfully, a widely used Python library known as Pandas has become the go-to tool for processing and manipulating data. Pandas recently got an update, which is version 2.0. This article takes a closer look at what Pandas is, its success, and what the new version brings, including its ecosystem around Arrow, Polars, and DuckDB.

IT 130
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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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Contributing to Open-Source.

Confessions of a Data Guy

The post Contributing to Open-Source. appeared first on Confessions of a Data Guy.

Data 130
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Top 6 Microsoft HDFS Interview Questions

Analytics Vidhya

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. HDInsight works seamlessly with the Hadoop ecosystem, which includes technologies like MapReduce, Hive, […] The post Top 6 Microsoft HDFS Interview Questions appeared first on Analytics V

Hadoop 246
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Time Series Forecasting with statsmodels and Prophet

KDnuggets

Easy forecast model development with the popular time series Python packages.

Python 137
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Data Teams Survey 2023 Results

Jesse Anderson

Between January 24, 2023, and February 28, 2023, I ran a survey to get more data for my latest book Data Teams , and to update my previous survey from late 2020. Overall, we had 81 respondents. This survey was designed to get information about how management uses data teams, the value they’re creating, and how they’re creating it. The survey asked about the best and worst practices that teams are using or experiencing.

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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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Data News — Week 23.09

Christophe Blefari

Formula 1 is back (trying to jinx before it happens) (yes there is no link with the data news) ( credits ) Hello you, I hope this new Data News finds you well. After last week question about your consideration of a paying subscription I got a few feedbacks and it helped me a lot realise how you see the newsletter and what it means for a you. So thank you for that.

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Data Science Blogathon 30th Edition- Women in Data Science

Analytics Vidhya

The Biggest Data Science Blogathon is now live! “Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. This 30th edition of the Data Science Blogathon is particularly very important because we are celebrating the women in […] The post Data Science Blogathon 30th Edition- Women in Data Science appeared first on Analytics Vidhya.

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Simpson’s Paradox and its Implications in Data Science

KDnuggets

The importance of Simpson’s Paradox and why you need to consider it when working with data.

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Reducing Apache Spark Application Dependencies Upload by 99%

LinkedIn Engineering

Co-authors: Shu Wang , Biao He , and Minchu Yang At LinkedIn, Apache Spark is our primary compute engine for offline data analytics such as data warehousing, data science, machine learning, A/B testing, and metrics reporting. We execute nearly 100,000 Spark applications daily in our Apache Hadoop YARN (more on how we scaled YARN clusters here ). These applications rely heavily on dependencies ( JAR files ) for their computation needs.

Hadoop 124
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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?

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Announcing General Availability of Databricks Model Serving

databricks

ML Virtual Event Enabling Production ML at Scale With Lakehouse March 14, 9 AM PDT / 4 PM GMT Register Now We are.

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Explore the World of Data-Tech with DataHour

Analytics Vidhya

Introduction DataHour sessions are an excellent opportunity for aspiring individuals looking to launch a career in the data-tech industry, including students and freshers. Current professionals seeking to transition into the data-tech domain or data science professionals seeking to enhance their career growth and development can also benefit from these sessions.

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What is Google AI Bard?

KDnuggets

Google responds to OpenAI’s ChatGPT with their own AI chatbot, Google Bard.

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How to Speed up Local Development of a Docker Application running on AWS

DoorDash Engineering

While most engineering tooling at DoorDash is focused on making safe incremental improvements to existing systems, in part by testing in production (learn more about our end-to-end testing strategy ), this is not always the best approach when launching an entirely new business line. Building from scratch often requires faster prototyping and customer validation than incremental improvements to an existing system.

AWS 119
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Databricks SQL Statement Execution API – Announcing the Public Preview

databricks

Today, we are excited to announce the public preview of the Databricks SQL Statement Execution API, available on AWS and Azure. You can.

SQL 111
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Top 6 Snowflake Interview Questions

Analytics Vidhya

Introduction Snowflake is a cloud-based data warehousing platform that enables enterprises to manage vast and complicated information by providing scalable storage and processing capabilities. It is intended to be a fully managed, multi-cloud solution that does not need clients to handle hardware or software. Instead, it provides high-performance analytics, flexibility, and cost-effective scaling.

Cloud 240
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Top Free Courses on Large Language Models

KDnuggets

Interested in learning how ChatGPT and other AI chatbots work under the hood? Look no further. Check out these free courses and resources on large language models from Stanford, Princeton, ETH, and more.

Process 121
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Data ingestion pipeline with Operation Management

Netflix Tech

by Varun Sekhri , Meenakshi Jindal , Burak Bacioglu Introduction At Netflix, to promote and recommend the content to users in the best possible way there are many Media Algorithm teams which work hand in hand with content creators and editors. Several of these algorithms aim to improve different manual workflows so that we show the personalized promotional image, trailer or the show to the user.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Introducing ThoughtSpot Sage: AI-Powered Analytics with GPT

ThoughtSpot

Today we’re excited to announce ThoughtSpot Sage , our new search experience that combines the power of GPT’s natural language processing and generative AI capabilities with the accuracy and security of our patented self-service analytics platform. With this new integration, data teams will be able to exponentially increase their impact across an organization as business users self-serve personalized, actionable, and trustworthy insights like never before.

SQL 105
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Top 6 Amazon Athena Interview Questions

Analytics Vidhya

Introduction Amazon Athena is an interactive query tool supplied by Amazon Web Services (AWS) that allows you to use conventional SQL queries to evaluate data stored in Amazon S3. Athena is a serverless service. Thus there are no servers to operate, and you pay for the queries you perform. Athena is built on Presto, an open-source […] The post Top 6 Amazon Athena Interview Questions appeared first on Analytics Vidhya.

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First Open Source Implementation of DeepMind’s AlphaTensor

KDnuggets

The first open-source implementation of AlphaTensor has been released and opens the door for new developments to revolutionize the computational performance of deep learning models.

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Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

Netflix Tech

By Burak Bacioglu , Meenakshi Jindal Asset Management at Netflix At Netflix, all of our digital media assets (images, videos, text, etc.) are stored in secure storage layers. We built an asset management platform (AMP), codenamed Amsterdam , in order to easily organize and manage the metadata, schema, relations and permissions of these assets. It is also responsible for asset discovery, validation, sharing, and for triggering workflows.

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The Cloud Development Environment Adoption Report

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.