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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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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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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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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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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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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Use Your Data Warehouse To Power Your Product Analytics With NetSpring

Data Engineering Podcast

Summary With the rise of the web and digital business came the need to understand how customers are interacting with the products and services that are being sold. Product analytics has grown into its own category and brought with it several services with generational differences in how they approach the problem. NetSpring is a warehouse-native product analytics service that allows you to gain powerful insights into your customers and their needs by combining your event streams with the rest of

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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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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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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 141
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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.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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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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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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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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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 132
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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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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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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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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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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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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Key Issues Associated with Classification Accuracy

KDnuggets

In this blog, we will unfold the key problems associated with classification accuracies, such as imbalanced classes, overfitting, and data bias, and proven ways to address those issues successfully.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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What Is Data Normalization, and Why Is It Important?

U-Next

Introduction Data is the foundation of the modern world. It’s a resource that provides more insight into how our businesses are performing. The importance of data depends on what kind of business you have and what you want to do with it. If you run an e-commerce store, then data will be critical for understanding your customers. If you run a service-based business, data will help you understand how your employees perform in their roles.

IT 98
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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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Data Reprocessing Pipeline in Asset Management Platform @Netflix

Netflix Tech

By Meenakshi Jindal Overview At Netflix, we built the asset management platform (AMP) as a centralized service to organize, store and discover the digital media assets created during the movie production. Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation, versioning, access control, sharing, triggering configured workflows like inspection, proxy generation etc.

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Top Posts February 27 – March 5: ChatGPT for Data Science Cheat Sheet

KDnuggets

ChatGPT for Data Science Cheat Sheet • 5 Data Analysis Projects For Beginners • 4 Ways to Rename Pandas Columns • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • The ChatGPT Cheat Sheet

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Customer Data Platform – An Expert Guide

U-Next

ntroduction Any business’s expansion largely depends on its clients’ input. For the business to operate efficiently, it must manage several data types. Customer data is one of the most important types of data for product creation and targeting. Therefore, having a consumer data platform is now crucial for businesses. Several data points represent every consumer.

Bytes 98
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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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What Is Fivetran and How Much Does It Cost?

phData: Data Engineering

In today’s increasingly data-driven world, businesses need reliable and efficient ways to collect, analyze, and draw insights from their data. With so many data integration tools available in the market, it can be difficult to determine which one is the best fit for your organization. Fivetran, a cloud-based automated data integration platform, has emerged as a leading choice among businesses looking for an easy and cost-effective way to unify their data from various sources.

IT 96
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Hydra Configs for Deep Learning Experiments

KDnuggets

This brief guide illustrates how to use the Hydra library for ML experiments, especially in the case of deep learning-related tasks, and why you need this tool to make your workflow easier.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.