Confessions of a Data Guy

JANUARY 19, 2023

I remember those days, oh so long ago, it seems like another lifetime. I haven’t used Pandas in many a year, decades, or whatever. We’ve all been there, done that. Pandas I mean. I would dare say it’s a rite of passage for most data folk. For those using Python, it’s probably one of the […] The post Replacing Pandas with Polars.

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Analytics Vidhya

JANUARY 31, 2023

Introduction Big data is revolutionizing the healthcare industry and changing how we think about patient care. In this case, big data refers to the vast amounts of data generated by healthcare systems and patients, including electronic health records, claims data, and patient-generated data. With the ability to collect, manage, and analyze vast amounts of data, […] The post The Impact of Big Data on Healthcare Decision Making appeared first on Analytics Vidhya.

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Seattle Data Guy

JANUARY 17, 2023

With all the recent data events I have put together I inevitably run into new data engineers who are either finishing up college or looking to transition into a data engineer or data scientist position. In fact I have talked to several newly graduated engineers who are struggling to find work. A few told me… Read more The post How To Hire Junior Data Engineers appeared first on Seattle Data Guy.

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Simon Späti

JANUARY 3, 2023

I used VS Code, Sublime, Notepad++, TextMate, and others, but the shortcut with cmd(+shift)+end, jumping with option+arrow-keys from word to word, needed to be faster at some point. I was hitting my limits. Everything I was doing I did decently fast, but I didn’t get any faster. Vim is the only editor you get faster with time. Vim is based solely on shortcuts.

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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?

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The Pragmatic Engineer

JANUARY 12, 2023

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one and a half out of eight topics in today’s subscriber-only issue, Inside Pollen's Transparent Compensation Data. If you’re not yet a subscriber, you also missed this week’s deep-dive on Becoming a Fractional CTO. To get this newsletter every week, subscribe here.

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Start Data Engineering

JANUARY 12, 2023

Introduction Sample project Code design patterns 1. Functional design 2. Factory pattern 3. Strategy pattern 4. Singleton, & Object pool patterns Python helpers 1. Typing 2. Dataclass 3. Context Managers 4. Testing with pytest 5. Decorators Misc Conclusion Further reading References Introduction Using the appropriate code design pattern can make your code easy to read, extensible, and seamless to modify existing logic, debug, and enable developers to onboard quicker.

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Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Whether we are analyzing IoT data streams, managing scheduled events, processing document uploads, responding to database changes, etc. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

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Seattle Data Guy

JANUARY 17, 2023

2022 is coming to an end. What is the state of data infra? Are Snowflake and Databricks still fighting over total cost of ownership? Is everyone switching to DuckDB? Are data engineers all learning Rust? Let’s try to answer these questions. Our team is putting together an all day event focused on helping answer some… Read more The post What Is The State Of Data Engineering And Infrastructure In 2023 appeared first on Seattle Data Guy.

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Jesse Anderson

JANUARY 9, 2023

If you haven’t heard, Confluent announced they’re buying Immerok. This purchase represents a significant shift in strategy for Confluent. I started a Twitter thread with some of my initial thoughts, but I want to write a post giving more analysis and opinions. In short, I still echo the sentiment from my original tweet “This was always the way it should have been.

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The Pragmatic Engineer

JANUARY 19, 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. To get the full issues, twice a week: subscribe here. Update on 20 January: less than a day after publishing this article, Google announced historic layoffs that will impact ~12,000 positions.

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Database

Christophe Blefari

JANUARY 27, 2023

My view from the train window ( credits ) Dear Data News readers it's a joy every week to write this newsletter, we are slowly approaching the second birthday of this newsletter. In order to celebrate this together I'd love to receive your stories about data —can be short or long, anonymous or not. This is an open box, just write me with what you have on the mind and I'll bundle an edition with it.

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Confessions of a Data Guy

JANUARY 13, 2023

Rust has been on my mind a lot lately, probably because of Data Engineering boredom, watching Spark clusters chug along like some medieval farm worker endlessly trudging through the muck and mire of life. Maybe Rust has breathed some life back into my stagnant soul, reminding me there is a big world out there, […] The post Using Rust to write a Data Pipeline.

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Analytics Vidhya

JANUARY 30, 2023

Introduction We are all aware of the Internet’s explosive expansion as a primary source of information and a platform for opinion expression. It has now become essential to gather and analyze the ever-expanding data that follows. While in the past, manual analysis of data has been possible and even served us well, the same cannot […] The post Top 10 Applications of Sentiment Analysis in Business appeared first on Analytics Vidhya.

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Seattle Data Guy

JANUARY 24, 2023

Modern data stack consultant plays an important role in companies looking to become data-driven. They help companies design and deploy centralized data sets that are easy to use and reliable. They do so by using cloud based solutions that help automate data pipelines and processes with less code than in the past. But in order… Read more The post Do You Need A Modern Data Stack Consultant appeared first on Seattle Data Guy.

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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

KDnuggets

JANUARY 20, 2023

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

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The Pragmatic Engineer

JANUARY 26, 2023

Comments

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Confluent

JANUARY 6, 2023

Introducing fully managed Apache Kafka® + Flink for the most robust, cloud-native data streaming platform with stream processing, integration, and streaming analytics in one.

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Engineering at Meta

JANUARY 27, 2023

Managing network solutions amidst a growing scale inherently brings challenges around performance, deployment, and operational complexities. At Meta, we’ve found that these challenges broadly fall into three themes: 1.) Data center networking: Over the past decade, on the physical front, we have seen a rise in vendor-specific hardware that comes with heterogeneous feature and architecture sets (e.g., non-blocking architecture).

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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

Analytics Vidhya

JANUARY 31, 2023

Introduction In today’s world, machine learning and artificial intelligence are widely used in almost every sector to improve performance and results. But are they still useful without the data? The answer is No. The machine learning algorithms heavily rely on data that we feed to them. The quality of data we feed to the algorithms […] The post Practicing Machine Learning with Imbalanced Dataset appeared first on Analytics Vidhya.

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Netflix Tech

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. All of these services at a later point want to annotate their objects or entities.

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KDnuggets

JANUARY 9, 2023

Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

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databricks

JANUARY 26, 2023

This is a collaborative post from Databricks and wisecube.ai. We thank Vishnu Vettrivel, Founder, and Alex Thomas, Principal Data Scientist, for their contributions.

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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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Confluent

JANUARY 10, 2023

CDC is a software design pattern that identifies and captures changes made to data in a database. Learn how CDC works, the best solutions, and how to get started with various implementations.

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Uber Engineering

JANUARY 16, 2023

In this blog, we share how we improved the daily edit-build-run developer experience using DevPods, Uber’s remote development environment. We cover the challenges, pain points, our architecture, and lastly the future of remote development at Uber.

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Analytics Vidhya

JANUARY 31, 2023

Introduction YARN stands for Yet Another Resource Negotiator. It is a powerful resource management system for a horizontal server environment. It is designed to be more flexible and generic than the original Hadoop MapReduce system, making it an attractive choice for companies looking to implement Hadoop. It allows companies to process data types and run […] The post YARN for Large Scale Computing: Beginner’s Edition appeared first on Analytics Vidhya.

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Precisely

JANUARY 27, 2023

In today’s hypercompetitive business environment, companies must deliver a standout experience for their target audience. Companies that excel at customer experience (CX) are better at building brand loyalty, increasing total customer lifetime value, and turning occasional customers into brand evangelists. This compelling drive for outstanding CX coincides with an intensive shift toward digitization, personalization, and omnichannel alignment.

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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

KDnuggets

JANUARY 3, 2023

Matplotlib is the most famous and commonly used plotting library in Python. It allows you to create clear and interactive visualizations that make your data easier to understand and your results more concrete.

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Snowflake

JANUARY 19, 2023

The Chief Data Officer is arguably one of the most important roles at a company, particularly those that aspire to be data-driven. CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data.

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The Modern Data Company

JANUARY 31, 2023

Another year, another chance to learn more about the world of data. In 2023, The Modern Data Company (Modern) hopes to reach more companies and organizations with our data operating system, build incredible value from existing and upcoming data assets, and share insights into major shifts in what it means to be data-driven. If you haven’t been with us long, we had some incredible pieces in the past few years.

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Uber Engineering

JANUARY 16, 2023

Uber’s Data team discusses how they used CLP to scale log ingestion, retention, and analytics for Petabytes of Spark logs, reducing log storage and management costs by 169x.

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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