Tue.May 30, 2023

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Welcoming bit.io to Databricks: Investing in the Developer Experience

databricks

We are excited to announce that bit.io is joining Databricks. At Databricks, we’ve always been focused on empowering organizations to solve their toughest p.

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Integrating ChatGPT Into Data Science Workflows: Tips and Best Practices

KDnuggets

Looking to integrate ChatGPT into your data science workflow? Here’s an example along with tips and best practices to get the most out of ChatGPT for data science.

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6 Pillars of Data Quality and How to Improve Your Data

Databand.ai

6 Pillars of Data Quality and How to Improve Your Data Eric Jones May 30, 2023 What Is Data Quality? Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.

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Deep Learning with R

KDnuggets

In this tutorial, learn how to perform a deep learning task in R.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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Share Pop-up Charts from the Spatial Statistics and Space Time Pattern Mining Toolboxes to ArcGIS Online

ArcGIS

Use the Convert Spatial Statistics Popup Charts for Web Display tool to view the pop-up charts from your analysis in ArcGIS Online.

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Driving Data Usability for Health Plans through Simplified Data Quality Enforcement with Databricks

databricks

Faced with clinician shortages, an aging population, and stagnant health outcomes, the healthcare industry has the potential to greatly benefit from disruptive technologies.

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Explore and Prepare Your Data with ArcGIS Pro Data Engineering

ArcGIS

Get a taste of how to use Data Engineering to explore, visualize, clean and prepare data in ArcGIS Pro.

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Deep Dive into RabbitMQ with Spring Boot - Part 2 by Sonali Mendis

Scott Logic

This is the final post of a series of 2 posts on RabbitMQ with Spring Boot. In the previous post, I explained the spring version of RabbitMQ acknowledgement mode. In this post, I’m hoping to explain how to tweak your RabbitMQ configuration to alter the retry behaviour, and how to add multiple consumers to allow parallel processing, in your Spring Boot application.

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Aggregate and stream your security data to Amazon Security Lake at scale with Confluent

Confluent

Address data and infrastructure security challenges with Confluent & Amazon Security Lake. Discover seamless data aggregation, governance, and real-time insights.

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AWS Data Engineering: 5 Comprehensive Aspects

Hevo

If you’re involved in the data space, you must have come across the term AWS Data Engineering. To explain in simple words, AWS Data Engineering manages Data Pipelines, Data Transfer, and Data Storage. In this article, you will learn about the process and tools in AWS Data Engineering.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Deep Dive into RabbitMQ with Spring Boot - Part 1 by Sonali Mendis

Scott Logic

This is the first of a series of 2 posts on RabbitMQ with Spring Boot. In this post, I intend to explain the Spring version of RabbitMQ Acknowledgement Modes. Part 2 will elaborate how to tweak your RabbitMQ configuration to alter the retry behaviour, and how to add parallel consumers, in your RabbitMQ Spring Boot Application. This article is not for you if you are only interested in getting a basic RabbitMQ publisher/consumer pattern to work in your Spring Boot Application.

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Salesforce to Snowflake using Recipes

Cloudyard

Read Time: 2 Minute, 44 Second Salesforce Recipes: During the last post we discussed about Salesforce Analytics studio feature called “Direct Connector” which helps you to connect snowflake in real time. With Direct Connector, access the Data stores in Snowflake without moving or duplicating data in Salesforce. Now as per the new ask, Salesforce team has created custom objects which needs to be populated from Snowflake.

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Building Secure Data Pipelines for the Healthcare Industry—Challenges and Benefits

Hevo

The healthcare industry has seen an exponential growth in the use of data management and integration tools in recent years to leverage the data at their disposal. Unlocking the potential of “Big Data” is imperative in enhancing patient care quality, streamlining operations, and allocating resources optimally.

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Belonging at Precisely with Raven Ho

Precisely

In line with our CEO’s commitment to inclusivity, The Employee Diversity & Inclusion Council was created to champion Belonging at Precisely. It’s important for Precisely to recognize the positive business impact of our employees’ contributions and to also welcome their perspectives. This quarter, we’re featuring Raven Ho, Associate UX Designer. Continue to read to learn more about Raven and her professional career experience as a diverse individual at Precisely.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Role Based Access Control for Data Teams- An A to Z Guide

Hevo

Are you planning to expand your data team? Then, you should definitely anticipate some daunting challenges during the process. One of the most important among them is ensuring your data is secure in all the stages of integration. Controlling access to the pipelines can help to achieve this security.

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5 Pie Chart Alternatives

Preset

Pie chart alternatives, their pros and cons, when to use the alternatives to pie chart and examples of pie chart alternatives examples in Apache Superset

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The World of Data Collaboration Is Back: Your Guide to Snowflake Summit 2023

Snowflake

Snowflake Summit is back and we can’t wait to see you in Vegas! Snowflake Summit 2023 offers an exciting view into what’s possible for you and your organization in a world of data—from cutting-edge innovations, including advancements with generative AI and LLMs, to enabling seamless alignment and data collaboration across your organization. Snowflake Summit: The World of Data Collaboration is back and will showcase how you can access, build, and monetize data, services, models, and applications

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The Product Owner Role by Frank Hubin

Scott Logic

“Where do you see yourself in five years’ time?” That common interview question has always made me smile. Someone who often does not know what they will have for lunch that same day just asked you to plan for the next five years. The answer does not require a good project manager, but a seer, if it is to sound realistic. Long gone are the days when one would enter a company fresh out of school, and follow the formatted career path left by their predecessors, slowly but steadily climbing the ladd

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Iceberg, Right Ahead! 7 Apache Iceberg Best Practices for Smooth Data Sailing

Monte Carlo

If you don’t know Apache Iceberg , you might find yourself skating on thin ice. Initially developed by Netflix and later donated to the Apache Software Foundation, Apache Iceberg is an open-source table format for large-scale distributed data sets. It’s designed to improve upon the performance and usability challenges of older data storage formats such as Apache Hive and Apache Parquet.

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3 Steps to Creating a Support-to-Product Feedback Loop in Your Organization

Snowflake

In my last article , I outlined how we in Snowflake Support use contextual data about where our customers get stuck to improve the overall product experience. Now I’ll take you through how your organization can also implement these important feedback loops from support to product enhancements, to your company’s—and your user’s—benefit. Customers don’t wake up in the morning and decide they’d love to spend time with a Support team.

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How to Handle Authentication in Angular SPAs?

Workfall

Reading Time: 4 minutes Angular is a good framework for creating Single Page Applications (SPAs) using JavaScript/TypeScript. With Single Page Applications, routing is handled on the client side. This calls for protecting routes on the client side as well. Angular comes with the Angular Routing module which handles routing. Sometimes you will have protected resources that you will only want your user to see the UI if and only if they are authenticated.

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Data Engineering: Fast Spatial Joins Across ~2 Billion Rows on a Single Old GPU

Towards Data Science

Comparing the performance of ORC and Parquet on spatial joins across 2 Billion rows on an old Nvidia GeForce GTX 1060 GPU on a local machine Photo by Clay Banks on Unsplash Over the past few weeks I have been digging a bit deeper into the advances that GPU data processing libraries have made since I last focused on it in 2019. In 4 years I have found that many of the libraries that were in early alpha in 2019 have matured into solid projects that are being used in real world situations.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Paytronix: Real-Time Customer Loyalty with Snowpark and Coalesce

Snowflake

When it comes to building customer loyalty, an ill-timed email or message can easily backfire. That’s why companies rely on customer engagement platforms (CEPs) to improve digital marketing campaigns and provide customers with a frictionless experience when ordering online and in store. As the Director of Data Science at Paytronix, a CEP used by more than 1,800 brands in the restaurant and convenience store industries, Jesse Marshall leads a small team of data scientists and data engineers taske