Fri.Mar 17, 2023

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Introduction to Apache Spark History

Waitingforcode

If you need to go back in time and analyze your past Apache Spark applications, you can use the native Apache Spark History server. However, it can also be an infrastructure problem because of the continuously increasing historical logs for streaming applications. In this blog post we'll try to understand this component and to see different configuration options.

IT 130
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Data News — Week 23.11

Christophe Blefari

Took a few days with the ☀️ ( credits ) Hey you, I hope you had a great week. On my side I'm slowly starting to get on top of the things I had in queue. But, sadly, I work in LIFO so I feel that I'm never done. For people that are not use to it it means last in, first out. Which means that I get easily disturbed by a notification—or even a thought—and do something that I did not plan to do at first.

Data 130
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Multi-label NLP: An Analysis of Class Imbalance and Loss Function Approaches

KDnuggets

In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.

Process 123
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Production-Ready and Resilient Disaster Recovery for DLT Pipelines

databricks

Disaster recovery is a standard requirement for many production systems, especially in the regulated industries. As many companies rely on data to make.

Systems 88
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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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Top Machine Learning Papers to Read in 2023

KDnuggets

These curated papers would step up your machine-learning knowledge.

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Align, Engage and Rave: 3 Things I Wish I Knew as Chief Data Officer

Cloudera

Align everything to corporate strategy I lead data and analytics at Cloudera. We’re called Cloudera Data Analytics (CDA). How very clever. Prior to forming the group, it was imperative to understand Cloudera’s corporate strategy: corporate objectives, product strategy, go-to-market strategy, key metrics and KPI. Our CDA charter must be aligned with corporate strategy, but shouldn’t everything we do be aligned?

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Transparency, visibility, data: Optimizing the Manufacturing Supply Chain with a Semantic Lakehouse

databricks

This is a collaborative post from Databricks, Tredence, and AtScale. Over the last three years, demand imbalances and supply chain swings have amplified.

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Educating ChatGPT on Data Lakehouse

Cloudera

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology.

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How to Load Data into Python: A Comprehensive Guide 101

Hevo

As Python has become the go-to language for working with data, it is essential to know how to load data in Python. Based on your requirements, Python has several ways to load data. Using Python, you can load information from the SQL server, CSV, and binary files.

Python 52
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How to Use ChatGPT for Interview Preparation

Edureka

Preparing for a job interview can be a nerve-wracking experience. From researching the company to practicing your answers, there’s a lot that goes into being ready for an interview. Fortunately, technology can help make the process easier. One tool that job seekers can use for interview preparation is ChatGPT. Let’s find out How to Use ChatGPT to Prepare for Interviews.

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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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What Is Data Pipeline Automation?

Ascend.io

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. But for most companies, that’s not the reality. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. The processes to consume and transform data are ad-hoc and manual, and the costs are unjustified.

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OpenAI Playground vs ChatGPT

Edureka

OpenAI Playground and ChatGPT are two popular tools that leverage the power of artificial intelligence to perform a wide range of natural language processing tasks. In this blog on ‘OpenAI Playground vs ChatGPT’, we’ll explore the differences and similarities between these two tools and help you choose the best one for your needs. OpenAI Playground OpenAI Playground is an online platform that allows users to experiment with various natural language processing models.

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What Is Data Pipeline Automation?

Ascend.io

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. But for most companies, that’s not the reality. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. The processes to consume and transform data are ad-hoc and manual, and the costs are unjustified.

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How to Use ChatGPT for DevOps Tasks

Edureka

DevOps is an approach to software development that emphasizes collaboration, communication, and automation between development and operations teams. The goal of DevOps is to create a faster, more reliable, and more efficient software development process that can keep up with the demands of modern software development. One of the key components of DevOps is automation, which can help reduce human error, improve communication and collaboration, and save time and effort for DevOps teams.

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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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RxJS Unit Testing by Josh Bickley-Wallace

Scott Logic

I’m newish to RxJS and Reactive programming and so far haven’t been impressed. While, sometimes, it can solve problems elegantly, the times I’ve seen it deployed in JavaScript projects, it’s made things over complicated and opaque. How can any library with an API surface so large that it needs a decision tree be anything but? In particular the unit testing story of RxJS concerned me; even some advocates of using the library in my projects tell me it’s hard to do.

Coding 52
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Celebrating Women’s History Month

Robinhood

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in.

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Celebrating Women’s History Month

Robinhood

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in.