Sat.Sep 24, 2022 - Fri.Sep 30, 2022

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How to Correctly Select a Sample From a Huge Dataset in Machine Learning

KDnuggets

We explain how choosing a small, representative dataset from a large population can improve model training reliability.

Datasets 160
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Data Lake / Lakehouse Guide: Powered by Data Lake Table Formats (Delta Lake, Iceberg, Hudi)

Simon Späti

Image by Rachel Claire on Pexels Ever wanted or been asked to build an open-source Data Lake offloading data for analytics? Asked yourself what components and features would that include. Didn’t know the difference between a Data Lakehouse and a Data Warehouse? Or you just wanted to govern your hundreds to thousands of files and have more database-like features but don’t know how?

Data Lake 130
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Top 10 Globally Recognized Certifications for Cyber Security

U-Next

Introduction . Cybersecurity or computer security and information security is the act of preventing theft, damage, loss, or unauthorized access to computers, networks, and data. As our interconnections grow, so do the chances for evil hackers to steal, destroy, or disrupt our lives. The increase in cybercrime has increased the demand for cybersecurity expertise.

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Build A Common Understanding Of Your Data Reliability Rules With Soda Core and Soda Checks Language

Data Engineering Podcast

Summary Regardless of how data is being used, it is critical that the information is trusted. The practice of data reliability engineering has gained momentum recently to address that question. To help support the efforts of data teams the folks at Soda Data created the Soda Checks Language and the corresponding Soda Core utility that acts on this new DSL.

Building 100
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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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Lessons from a Senior Data Scientist

KDnuggets

The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.

Data 152
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The Rise of the Semantic Layer

Simon Späti

A semantic layer is something we use every day. We build dashboards with yearly and monthly aggregations. We design dimensions for drilling down reports by region, product, or whatever metrics we are interested in. What has changed is that we no longer use a singular business intelligence tool; different teams use different visualizations (BI, notebooks, and embedded analytics).

BI 130

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Power Your Real-Time Analytics Without The Headache Using Fivetran's Change Data Capture Integrations

Data Engineering Podcast

Summary Data integration from source systems to their downstream destinations is the foundational step for any data product. With the increasing expecation for information to be instantly accessible, it drives the need for reliable change data capture. The team at Fivetran have recently introduced that functionality to power real-time data products.

Food 100
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Become an AI Artist Using Phraser and Stable Diffusion

KDnuggets

Generate the prompt using Phraser and create realistic art using the Diffusion model.

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The Rise of the Semantic Layer

Simon Späti

A semantic layer is something we use every day. We build dashboards with yearly and monthly aggregations. We design dimensions for drilling down reports by region, product, or whatever metrics we are interested in. What has changed is that we no longer use a singular business intelligence tool; different teams use different visualizations (BI, notebooks, and embedded analytics).

BI 130
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Excited to be back at Google Cloud Next 2022!

Confluent

Highlighting sessions on the power of our Confluent-Google partnership: multi-layer data security, real-time cloud data streaming and analytics, database modernization, and more.

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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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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

Netflix Tech

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5 years, its usage has increased, and Timestone is now also the priority queueing engine backing Conductor , our general-purpose workflow orchestration engine, and BDP Sch

Systems 89
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Welcome to TensorFlow!

KDnuggets

TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skills hands-on as you create production-ready applications.

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Announcing GA of DataFlow Functions

Cloudera

. Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. This is the first complete no-code, no-ops development experience for functions, allowing users to save time and resources. .

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Ventana Report: Why Centralized Data Governance is Top of Mind

Confluent

With 97% of businesses using data streaming technologies, centralized, real-time data governance is key. Read the report on centralized governance, and why it’s so important.

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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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7 Ways To Develop A Portfolio That Gets You Hired

U-Next

Show, don’t tell is what people tell writers and screenwriters, but this is practically applicable to aspirants who want to land their dream jobs as well. Apart from your university degree and professional certifications, what adds compelling weightage to your candidacy is a solid portfolio. . A portfolio is like your business card and regardless of whether you are a fresher or someone experienced, moving up the corporate ladder, a portfolio is what will ensure you a job, that higher paycheck a

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5 Python Interview Questions & Answers

KDnuggets

The Python coding questions challenge your problem-solving and programming skills.

Python 146
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The Top Three Entangled Trends in Data Architectures: Data Mesh, Data Fabric, and Hybrid Architectures

Cloudera

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures.

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More Editorial Content, please.

Zalando Engineering

At Zalando, serving engaging content across the user journey has become increasingly important for multiple teams within the company. This required a scalable, feature-rich and easy-to-use solution, that was flexible enough to adapt to the ever-changing requirements for rich content. In this post, George and Daniel describe the product that was built to serve this purpose - its problem space, the solution design process, the technological context and how the product evolved to include new use-ca

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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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This Business Analytics IIM Program Is Everything You Need To Become The New Age Leader!  

U-Next

The beauty of Business Analytics lies in its ability to grow businesses by an ‘x’ factor just by collecting and analyzing data. As businesses today continue their constant hunt to find newer innovative ways to enhance business processes, the role of a Business Analyst has never had greater importance. According to Techjury the global business intelligence market will grow to $33.3 billion by 2025.

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Top 5 Machine Learning Practices Recommended by Experts

KDnuggets

this article is intended to help beginners improve their model structure by listing the best practices recommended by machine learning experts.

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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). CDF-PC enables organizations to take control of their data flows and eliminate ingestion silos by allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination using a low-code authoring experience.

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Analysts make the best analytics engineers

dbt Developer Hub

When you were in grade school, did you ever play the “Telephone Game”? The first person would whisper a word to the second person, who would then whisper a word to the third person, and so on and so on. At the end of the line, the final person would loudly announce the word that they heard, and alas! It would have morphed into a new word completely incomprehensible from the original word.

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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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Important AI and Management Tools of 2022

U-Next

Introduction . There has never been a better time to adopt Artificial Intelligence with tools for AI. From everyday activities such as shopping and content creation to innovative developments such as space exploration and medical research, this time of technological advancement will have an enormous impact on virtually every aspect of life. . According to a Gartner study , AI software will generate $62 billion in revenue by 2022.

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Free Algorithms in Python Course

KDnuggets

Algorithms are an often misunderstood concept. Leverage Python to learn what algorithms really are, and how to implement an array of basic computational algorithms in the language.

Algorithm 125
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Let us know what is TensorFlow Lite Task Library

Knoldus

Reading Time: 2 minutes TensorFlow Lite is a framework of software packages that enables ML training locally on the hardware. This on-device processing and computing allow developers to run their models on targeted hardware. The hardware includes development boards, hardware modules, and embedded and IoT devices. TensorFlow Lite Task Library contains a useful and powerful set of interfaces.

Process 52
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Getting Started with the Confluent Terraform Provider

Confluent

Remove the complexity and risks of infrastructure as code (IaC) with consistent, version-controlled streaming data access, Kafka clusters, connectors, private networks, RBAC, and more.

Kafka 52
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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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How Do You Create a Customer-centric Marketing Strategy?

U-Next

Introduction . With each passing day, consumers are presented with innumerable opportunities, making it harder for brands to capture and hold their interest. . There is no need to be surprised by this. Today, customers in marketing gain uninterrupted access to a wide range of products, services, and information. All of it is available in real-time, thanks to today’s omnichannel and mobile-first environment.

Media 52
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A Day in the Life of a Data Scientist: Expert vs. Beginner

KDnuggets

Let’s learn more about what a Data Scientist gets up to.

Data 123
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How Good Am I at Ping Pong?

Elder Research

The post How Good Am I at Ping Pong? appeared first on Elder Research.

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Evolution of Streaming Pipelines in Lyft’s Marketplace

Lyft Engineering

The journey of evolving our streaming platform and pipeline to better scale and support new use cases at Lyft. Background In 2017, Lyft’s Pricing team within our Marketplace organization was using a cronjob-based Directed Acyclic Graph (DAG) to compute dynamic pricing for rides. Each unit in the DAG would run at the top of every minute, fetch the data from the previous unit, compute the result, and store it for the next unit.

Kafka 52
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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.