Sat.Mar 25, 2023 - Fri.Mar 31, 2023

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How Data Science Can Transform Mobile App Development?

KDnuggets

Data science is an intelligent and powerful technology. By knowing how to use data science in mobile app development you can achieve great results.

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5 Machine Learning Skills Every Machine Learning Engineer Should Know in 2023

KDnuggets

Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

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Complete Guide to Pub/Sub in Redis

Analytics Vidhya

Introduction Publish and Subscribe is a messaging mechanism having one or a set of senders sending messages and one or a group of receivers receiving these messages. These senders are called Publishers, responsible for publishing these messages, and the receivers are called Subscribers who subscribe to these Publishers to receive their notifications.

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Data News — Week 23.13

Christophe Blefari

This newsletter is about money ( credits ) Dear readers, already 3 months done in 2023. We are slowly approaching the 2-years anniversary of the blog and the newsletter. We are almost 3000 and once again I want to thank you for the trust. To be honest time flies and I’d have preferred to do more for the blog in the start of the year but my freelancing activities and my laziness took me so much.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Table file formats - Z-Order compaction: Delta Lake

Waitingforcode

In my recent exploration of the compaction, aka OPTIMIZE command, in Delta Lake, I found this famous Z-Ordering mode. It was one of the most outstanding features when I first heard about Delta Lake. You can't even imagine how impatient I was to see what it is doing under-the-hood. Fortunately, this time has come!

IT 130
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Polars vs Spark. Real Talk.

Confessions of a Data Guy

Real talk. Polars is all the rage. People love Spark. People use Spark for small data, but data is too big for Pandas. Spark runs on a local machine. Polars runs on a local machine. What do I choose, Spark or Polars? Does it matter? I’ve written about Polars at different points, here, and here […] The post Polars vs Spark. Real Talk. appeared first on Confessions of a Data Guy.

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Unlocking The Potential Of Streaming Data Applications Without The Operational Headache At Grainite

Data Engineering Podcast

Summary The promise of streaming data is that it allows you to react to new information as it happens, rather than introducing latency by batching records together. The peril is that building a robust and scalable streaming architecture is always more complicated and error-prone than you think it's going to be. After experiencing this unfortunate reality for themselves, Abhishek Chauhan and Ashish Kumar founded Grainite so that you don't have to suffer the same pain.

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5 Advance Projects for Data Science Portfolio

KDnuggets

Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

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SimulatedRides: How Lyft uses load testing to ensure reliable service during peak events

Lyft Engineering

Authors: Remco van Bree , Ben Radler Contributors : Alex Ilyenko , Ben Radler , Francisco Souza , Garrett Heel , Nathan Hsieh , Remco van Bree , Shu Zheng , Alex Hartwell , Brian Witt “Load testing in production is great.” We know what you’re thinking — testing in production is one of the cardinal sins of software development. However, at Lyft we have come to realize that load testing in production is a powerful tool to prepare systems for unexpected bursty traffic and peak events.

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Uniting the Machine Learning and Data Streaming Ecosystems - Part 1

Confluent

The future of data is real time and enriched by machine learning. How can we overcome socio-technical blockers and unite the ML and data streaming markets?

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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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Introduction to Linked Lists.

Confessions of a Data Guy

The post Introduction to Linked Lists. appeared first on Confessions of a Data Guy.

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A Complete Collection of Data Science Free Courses – Part 2

KDnuggets

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

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How LinkedIn automates cherry-picking commits to improve developer productivity

LinkedIn Engineering

Our developers at LinkedIn are constantly exploring ways to enhance and strengthen our platform, aiming to provide our members and customers with the greatest possible access to knowledge and connections. With approximately 15,000 code repositories, our developers work tirelessly to make thousands of code changes each day, improving functionality and resolving any issues that may arise.

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Confluent Achieves Google Cloud Ready - AlloyDB Designation

Confluent

Confluent announced that it has successfully achieved Google Cloud Ready - AlloyDB Designation for AlloyDB for PostgreSQL, Google Cloud’s newest fully managed PostgreSQL-compatible database service for the most demanding enterprise database workloads.

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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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ML Training and Deployment Pipeline Using Databricks

Ripple Engineering

Summary Managing the entire lifecycle of a machine learning (ML) model from inception to deployment in production can be a daunting task involving multiple systems and lots of moving parts. At Ripple we have a mix of cloud providers (GCP and AWS) and internally managed tools (Gitlab, Artifactory, Vault etc.), and we needed a managed solution that would help us deliver models to product use cases within a short amount of time, which led us to choose Databricks.

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Reading Minds with AI: Researchers Translate Brain Waves to Images

KDnuggets

Two researchers from Osaka University were able to reconstruct highly accurate images from human brain activity obtained by fMRI. Read this article if you are curious to find out what all the hype is about.

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What is GPT-4? How it is better than ChatGPT

Edureka

We were already surprised by the wonders ChatGPT has been doing, and now GPT-4 has arrived with features nobody could have ever imagined. These days, one really can’t say what else we are going to explore in the future of language models, as every day is like a new challenge for the developers of ChatGPT. OpenAI has announced the release of its latest large language model, GPT-4.

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Iceberg Tables: Catalog Support Now Available

Snowflake

As announced at Snowflake Summit 2022 , Iceberg Tables combines unique Snowflake capabilities with Apache Iceberg and Apache Parquet open source projects to support your architecture of choice. As part of the latest Iceberg release, we’ve added catalog support to the Iceberg project to ensure that engines outside of Snowflake can interoperate with Iceberg Tables.

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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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Ready for Data Transformation but Don’t Know Where to Start? Start Here.

The Modern Data Company

Not Getting Value from Your Data Transformation? Fix it Download (PDF) The post Ready for Data Transformation but Don’t Know Where to Start? Start Here. appeared first on TheModernDataCompany.

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Distance Metrics: Euclidean, Manhattan, Minkowski, Oh My!

KDnuggets

Looking to understand the most commonly used distance metrics in machine learning? This guide will help you learn all about Euclidean, Manhattan, and Minkowski distances, and how to compute them in Python.

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Quarterly partner spotlight: InterWorks, BlueCloud, Slalom, and Beyond

ThoughtSpot

You know ThoughtSpot as the experience layer of the modern data stack —a five-layer cycle that includes ingesting, transforming, loading, storing, and finally interacting with your data. Bringing self-service analytics to customers is only possible through the incredible ecosystem of partners who work alongside us. Together, we help customers accelerate use cases, build better processes, and realize truly amazing business results.

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Are You Doing Your Data Sourcing Right? You Better!

Snowflake

We all know we’re living in challenging times—the economy, global politics, the environment. Not to make light of anything happening today, but this isn’t the first time businesses have faced difficult times. The financial crisis of the early aughts is still relatively recent history. These crises caused a retraction in the economy and a slowdown of many technology investments.

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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.

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Run SQL Queries on Databricks From Visual Studio Code

databricks

Today, we are excited to announce that users can now run SQL queries on Databricks from within Visual Studio Code via a preview.

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Top Posts March 20-26: GPT-4: Everything You Need To Know

KDnuggets

GPT-4: Everything You Need To Know • OpenChatKit: Open-Source ChatGPT Alternative • Top Posts March 13-19: GPT-4: Everything You Need To Know • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • 4 Ways to Generate Passive Income Using ChatGPT

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High resolution data updates to Living Atlas World Elevation Layers (March 2023)

ArcGIS

In March 2023, elevation layers have been updated with many high-res datasets covering Hong Kong, Slovenia, Germany, NSW Australia, Poland and US

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Data Vault on Snowflake: Feature Engineering and Business Vault

Snowflake

“The features you use influence more than everything else the result. No algorithm alone, to my knowledge, can supplement the information gain given by correct feature engineering” —Luca Massaron, Data Scientist Snowflake continues to set the standard for data in the cloud by removing the need to perform maintenance tasks on your data platform and giving you the freedom to choose your data model methodology for the cloud.

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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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The Executive’s Guide to Data, Analytics and AI Transformation, Part 1: A blueprint for modernization

databricks

Now more than ever, organizations need to adapt quickly to market opportunities and emerging risks so that they are better positioned to adapt.

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Automation in Data Science Workflows

KDnuggets

Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?

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ROW and Easement Data Management Solution Released

ArcGIS

ROW and Easement Data Management improves infrastructure planning, utility maintenance, and other functions that require access to land.

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Anatomy of SQL Window Functions

Towards Data Science

Back To Basics | SQL fundamentals for beginners Image by author, created on canva In order to understand the enterprise data; you have to query it a lot. When I say ‘A lot’, I mean it. Working with unfamiliar piles of data is often daunting and it’s always a good practice to take some time to explore and understand the data itself. It’s good to have basic data retrieval skills but knowing analytical functions to derive some useful insights out of your data is cherry on top of a cake and it’s fu

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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.