Analytics Vidhya

APRIL 3, 2023

Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers. Nevertheless, setting up a streaming data pipeline to power such dashboards may […] The post Data Engineering for Streaming Data on GCP appeared first on Analytics Vidhya.

Data Engineering 251

Data Engineering Data Engineer Engineering Data 251

The Pragmatic Engineer

APRIL 6, 2023

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. If you’re not yet a full subscriber, you missed this week’s deep-dive into Figma’s engineering culture. To get full newsletters twice a week, subscribe here.

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Software Engineer Software Engineering Datasets Database 186

Simon Späti

APRIL 3, 2023

Amidst the excitement and hype surrounding artificial intelligence, the significance of data engineering and its critical foundation—data modeling—can often be overlooked. This article is the first in a three-part series that will shine a spotlight on the fascinating world of data modeling, delving into its crucial importance within the broader context of data engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Architecture 130

Data Engineering Podcast

APRIL 2, 2023

Summary The data ecosystem has been building momentum for several years now. As a venture capital investor Matt Turck has been trying to keep track of the main trends and has compiled his findings into the MAD (ML, AI, and Data) landscape reports each year. In this episode he shares his experiences building those reports and the perspective he has gained from the exercise.

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Hadoop Machine Learning Python Architecture 130

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

Certification

KDnuggets

APRIL 3, 2023

LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

Building 159

Building Python Process 159

Waitingforcode

APRIL 7, 2023

Last time you discovered the Z-Order compaction in Delta Lake. But guess what? Apache Iceberg also has this feature!

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ArcGIS

APRIL 7, 2023

We're happy to announce the conda init command is now enabled for ArcGIS users of Python! Learn about how to use it, how it works, and benefits.

Python 128

Python IT 128

KDnuggets

APRIL 3, 2023

This article will explain how RAPIDS can help you speed up your next data science workflow. RAPIDS cuDF is a GPU DataFrame library that allows you to produce your end-to-end data science pipeline development all on GPU.

Data Science 146

Data Science Data 146

Confessions of a Data Guy

APRIL 6, 2023

The post QuickSort in Rust! appeared first on Confessions of a Data Guy.

Data 130

Data 130

Preset

APRIL 5, 2023

Entity-centric modeling is a data modeling approach focusing on enriching tabular datasets with useful "features" to enable segmentation, cohort creation, and complex classification analyses easier.

Datasets 111

Datasets Data 111

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

Confluent

APRIL 5, 2023

All the best data streaming resources, tips, and guides to help you learn introductory concepts, streaming architecture basics, common tools and technologies, and more.

Architecture 104

Architecture Data Technology 104

KDnuggets

APRIL 6, 2023

With more and more companies integrating artificial intelligence into the workplace, what does this mean for employees' futures and careers?

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ArcGIS

APRIL 4, 2023

ArcGIS Pro 3.1 introduces a new layer type—catalog layers—and this blog covers how they could be used in your analytic workflows.

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Building Datasets Data Management Management 113

LinkedIn Engineering

APRIL 6, 2023

It’s been an exciting few months at LinkedIn, as our engineering and product teams have been working hard to build some new and advanced AI-powered experiences for our members and customers. I have the opportunity to sit at such a unique vantage point where I get to see first hand the work that went into setting the technology foundations - from the technical resources, tools, engineering playgrounds and guidelines - to make it all possible.

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Accessible Accessibility Technology Engineering 94

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Confluent

APRIL 4, 2023

Machine learning and data streaming are a perfect match, but have diverging tech stacks. How can we overcome the pitfalls of SQL and the gulf between languages?

Machine Learning 104

Machine Learning SQL Data 104

KDnuggets

APRIL 6, 2023

Discover the widely-used open-source frameworks and models for creating your ChatGPT like chatbots, integrating LLMs, or launching your AI product.

Process 137

Process 137

ArcGIS

APRIL 6, 2023

Organizations with IFC files can still reap the benefits of an ArcGIS Indoors deployment by following these recommendations.

Data Management 113

Data Management Architecture Management Engineering 113

Towards Data Science

APRIL 3, 2023

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! You be the judge of what future you’d rather embrace. credit: @psalms original_photo Introduction In many cases, processing data in-stream, or as it becomes available, can help reduce an enormous data problem (due to the volume and scale of the flow of data) into a more manageable one.

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Process Data Lake Systems Bytes 87

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Lyft Engineering

APRIL 3, 2023

Recommendation plays an important role in Lyft’s understanding of its riders and allows for customizing app experiences to better fulfill their needs. At times, recommendations are also leveraged to manage the marketplace, making sure there’s a healthy balance between ride demand and driver supply. This allows ride requests to be fulfilled with more desirable dispatch outcomes such as matching riders with the best driver nearby.

Systems 87

Systems Pipeline-centric Machine Learning Transportation 87

KDnuggets

APRIL 6, 2023

I will be sharing a couple of things I have learned in the past six months and tips that helped me stay dedicated and true to my journey in this article.

Data Science 129

Data Science Data 129

databricks

APRIL 4, 2023

Databricks is excited to announce the release of several exciting new Workflows features that will simplify the way you create and launch automated.

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Towards Data Science

APRIL 6, 2023

Principles, practices, and examples for ensuring high quality data flows Source: DreamStudio (generated by author) Nearly 100% of companies today rely on data to power business opportunities and 76% use data as an integral part of forming a business strategy. In today’s age of digital business, an increasing number of decisions companies make when it comes to delivering customer experience, building trust, and shaping their business strategy begins with accurate data.

Unstructured Data 82

Unstructured Data Metadata Data Coding 82

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

Workfall

APRIL 6, 2023

Reading Time: 6 minutes Real-time applications are important in several instances. Especially in a scenario whereby immediate feedback is important such as messaging apps and IoT apps. Let’s imagine a case in IoT whereby a smoke detector needs to relay information to water sprinklers in a burning building. This information has to be in real-time to save the situation before it worsens.

MongoDB 59

MongoDB Building Transportation PostgreSQL 59

KDnuggets

APRIL 3, 2023

Automate the Boring Stuff with GPT-4 and Python • How to Use ChatGPT to Improve Your Data Science Skills • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • ChatGPT for Data Science Cheat Sheet • 4 Ways to Generate Passive Income Using ChatGPT

Python 99

Python Data Science Data 99

databricks

APRIL 3, 2023

Introduction According to the latest reports from global consultancy EY, the future of insurance will become increasingly data-driven, and analytics enabled. The recent.

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Insurance Consulting Data 77

Towards Data Science

APRIL 6, 2023

Learning a little about these tools and how to integrate them Photo by Nolan Krattinger on Unsplash Introduction A few weeks ago, while doing my mental stretch to think about new post ideas, I thought: Well, I need to learn (and talk) more about cloud and these things, I’ve practiced a lot on on-premise ambients, using open-source tools, and running away from proprietary solutions… But the world is cloud and I don’t think that this is gonna change any time soon… I then wrote a post about creati

AWS 79

AWS Data Pipeline Amazon Web Services Python 79

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Snowflake

APRIL 6, 2023

Data science is quickly emerging as a key differentiator for advertising, media, and entertainment organizations. That holy grail of subscriber 360—fully understanding customers—has always been a moving target. But today’s market pressures are converging on companies, demanding they become more responsive to subscribers’ needs, wants, and preferences.

Data Science 57

Data Science Entertainment Media Unstructured Data 57

KDnuggets

APRIL 7, 2023

Utilizing the power of GPT-3.5 to develop a simple summarize generator application.

Python 136

Python Utilities Process 136

databricks

APRIL 7, 2023

We are excited to announce that cluster policies are now generally available. Why Databricks cluster policies? Databricks cluster policies enable administrators to: limit.

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Towards Data Science

APRIL 5, 2023

A Guide to Maximize Your dbt Productivity in Visual Studio Code (Image from Unsplash ) If you are struggling to get VS Code and dbt to work well together, you are not alone. Integrating them can be challenging, but it will improve your modeling efficiency. That is why I am sharing the setup that has worked for me. In this article, I’ll cover topics like upgrading your terminal so you can quickly recall commands, making use of extensions that allow you to build models faster, and setting up forma

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Coding SQL Python Data Science 79

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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

Building