Sat.Jul 22, 2023 - Fri.Jul 28, 2023

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Data Engineer vs Data Scientist: Which Career to Choose?

Analytics Vidhya

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! In this captivating journey, we’ll explore the distinctive paths these tech titans take […] The post Data Engineer vs Data Scientist: Which Career to Choose?

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Polars vs Pandas. Inside an AWS Lambda.

Confessions of a Data Guy

Nothing gives me greater joy than rocking the boat. I take pleasure in finding what people love most in tech and trying to poke holes in it. Everything is sacred. Nothing is sacred. I also enjoy doing simple things, things that have a “real-life” feel to them. I suppose I could be like the others […] The post Polars vs Pandas. Inside an AWS Lambda. appeared first on Confessions of a Data Guy.

AWS 240
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Data News — mid-2023 popular articles

Christophe Blefari

🧜‍♂️ ( credits ) Hey, this is a mid-2023 edition with some of my favourite articles and the popular articles that have been shared this year in the newsletter. There isn't any fancy calculation on how to find the popular articles. Here how it's done. Every link sent in each newsletter is tracked in 2 ways: when you click on a link it first redirect you to my blog so I know that you've clicked on it it adds ref=blef.fr to the url, so the original articl

Data 130
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State expiration in stream-to-stream joins with event time range condition

Waitingforcode

You certainly know it, the watermark (aka GC Watermark) is responsible for cleaning state store in Apache Spark Structured Streaming. But you may not know that it's not the single time-based condition. There is a different one involved in the stream-to-stream joins.

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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Build Real Time Applications With Operational Simplicity Using Dozer

Data Engineering Podcast

Summary Real-time data processing has steadily been gaining adoption due to advances in the accessibility of the technologies involved. Despite that, it is still a complex set of capabilities. To bring streaming data in reach of application engineers Matteo Pelati helped to create Dozer. In this episode he explains how investing in high performance and operationally simplified streaming with a familiar API can yield significant benefits for software and data teams together.

Building 130
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Anomaly Detection with Machine Learning Overview

Knowledge Hut

Machine learning for anomaly detection is crucial in identifying unusual patterns or outliers within data. It plays a vital role in cybersecurity, finance, healthcare, and industrial monitoring. By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. They excel at identifying subtle anomalies and adapt to changing patterns.

More Trending

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Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. As businesses grow, so does the variety of these datasets and the complexity of their handling requirements.

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ThoughtSpot for Sheets delivers Generative AI to every knowledge worker

ThoughtSpot

Today we're excited to officially launch AI Explain on ThoughtSpot for Sheets , the ultimate cheat code for data literacy and exploration. AI Explain integrates Google's PaLM 2 LLM, specifically leveraging the Bison model to automatically generate the top data stories for any visualization created with our Sheets extension. If you're not familiar with ThoughtSpot for Sheets, it's ThoughtSpot’s free app plugin for Google Sheets that lets you explore your Sheets data through in

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What is Hybrid Methodology in Project Management?

Knowledge Hut

Hybrid project management refers to combining two or more methodologies, thereby allowing a project manager to enjoy the benefits of multiple methodologies. This project management methodology allows you the flexibility to use elements from different methodologies. Organizations that harness hybrid project management methods are more likely to reap the benefits like speed, adaptability, flexibility, etc.

Project 98
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Building a Rust workspace with Bazel

Tweag

The vast majority of the Rust projects are using Cargo as a build tool. Cargo is great when you are developing and packaging a single Rust library or application, but when it comes to a fast-growing and complex workspace, one could be attracted to the idea of using a more flexible and scalable build system. Here is a nice article elaborating on why Cargo should not be considered as a such a build system.

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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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Conscious Decoupling: How Far Is Too Far for Storage, Compute, and the Modern Data Stack?

Towards Data Science

While there is no right answer, there is likely a sweet spot for most organizations’ data platforms. Read on to see where that might be. Photo by Kelly Sikkema on Unsplash Data engineers discovered the benefits of conscious uncoupling around the same time as Gwyneth Paltrow and Chris Martin in 2014. Of course, instead of life partners, engineers were starting to gleefully decouple storage and compute with emerging technologies like Snowflake (2012), Databricks (2013), and BigQuery (2010).

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Introduction to Statistical Learning, Python Edition: Free Book

KDnuggets

The highly anticipated Python edition of Introduction to Statistical Learning is here. And you can read it for free! Here’s everything you need to know about the book.

Python 98
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Two-Factor Authentication in Scala with Http4s

Rock the JVM

by Herbert Kateu Hey, it’s Daniel here. You’re reading a giant article about a real-life use of the Http4s library. If you want to master the Typelevel Scala libraries (including Http4s) with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. It’s my biggest and most jam-packed course yet. 1. Introduction This article is a continuation of the authentication methods that were covered in part1.

Scala 92
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Patient Disease Risk Prediction with Lakehouse

databricks

All healthcare is personal. Individuals have different underlying genetic predispositions, environmental exposures, and past medical histories, not to mention different propensities to engage.

Medical 91
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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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Unleashing Data Potential: Chaining Data Products for Powerful Use Cases

The Modern Data Company

In the modern data-driven landscape, organizations are constantly seeking ways to extract valuable insights from their data assets. While individual data products provide significant value, the true potential lies in harnessing the power of interconnected data products. By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases.

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Textbooks Are All You Need: A Revolutionary Approach to AI Training

KDnuggets

This is an overview of the "Textbooks Are All You Need" paper, highlighting the Phi-1 model's success using high-quality synthetic textbook data for AI training.

Data 93
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How to make features illuminate an underlying basemap

ArcGIS

Sure, we can make features look like they are glowing. But how can we make them look like they are casting light on the basemap below?

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Volunteer Spotlight: Big Day in the UK!

Cloudera

It was a busy day for Cloudera Cares in the UK on June 21, 2023. Not only did we deliver the EMEA Evolve Flagship event with a first of its kind, volunteer component, we also flew the Cloudera flag at a Cloudera Cares event with Mission Motorsport. Hear from Clouderan, Paul Wooding about his day volunteering at two of Cloudera’s impactful UK-based events.

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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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Confluent's Commitment to Data Privacy: Announcing ISO 27701 Certification

Confluent

Confluent obtained the ISO 27701 certification which demonstrates the high standard of Confluent’s privacy program and practices.

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Mastering GPUs: A Beginner’s Guide to GPU-Accelerated DataFrames in Python

KDnuggets

RAPIDS cuDF, with its pandas-like API, enables data scientists and engineers to quickly tap into the immense potential of parallel computing on GPUs–with just a few code line changes. Read on for more.

Python 86
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Mapping packed circles

ArcGIS

Packed circles are a unique visualization technique for representing individual data points within an aggregate symbol.

Data 96
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Best Practices and Guidance for Cloud Engineers to Deploy Databricks on AWS: Part 3

databricks

For the final part of our Best Practices and Guidance for Cloud Engineers to Deploy Databricks on AWS series, we'll cover an important.

AWS 92
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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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How to Read and Write In Google Spreadsheet Using Python and Sheety API?

Workfall

Reading Time: 9 minutes Tired of manual data entry in Google Spreadsheets? Discover a simple and efficient way to automate your data handling using Python and Sheety API. In this blog, we’ll demonstrate step-by-step the process of reading and writing data in Google Sheets, empowering you to effortlessly manage your data with the power of Python.

Python 76
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8 Programming Languages For Data Science to Learn in 2023

KDnuggets

Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.

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3 Ways AI, ML, and Predictive Analytics Can Help Solve the Nursing Crisis

Snowflake

The nursing profession is in crisis. According to McKinsey, over 30% of surveyed nurses said they may leave their current patient care jobs in the next year, and for inpatient nurses it’s higher at 45%. Meanwhile, the average professional tenure of nurses dropped from 3.6 years to 2.8 years between 2020 and 2023. These alarming trends have healthcare systems on red alert.

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Announcing the MLflow AI Gateway

databricks

Large Language Models (LLMs) unlock a wide spectrum of potential use cases to deliver business value, from analyzing the sentiment of text data.

Data 88
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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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Costwiz: Saving cost for LinkedIn enterprise on Azure

LinkedIn Engineering

Authors: Deven Walia, Vivek Subramaniam , Simon Desowza , and Karthik Subramanian Cloud services have completely changed the way we approach infrastructure management. It’s now much easier to manage large infra requirements that have traditionally demanded an amalgamation of teams like DBA, Infra-SRE, Onprem-SMEs, network managers, and access control managers working together.

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Introduction to Data Science: A Beginner’s Guide

KDnuggets

This article is a guide for new data scientists, and it's designed to help you get started quickly. It's meant to be a starting point, but if you're already in the market for a new job, you may want to read this article more.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP). However, both of these options are associated with substantial cost and risk , as organizations underestimate the complexity and the necessary expertise required to not only build b

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Now Generally Available: All users can now establish a connection to Fivetran via Partner Connect

databricks

We're thrilled to announce the general availability of Fivetran access in Partner Connect for all users. This innovation makes it 10x easier for.

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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.