Sat.Dec 10, 2022 - Fri.Dec 16, 2022

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Data Pipeline Design Patterns - #1. Data flow patterns

Start Data Engineering

1. Introduction 2. Source & Sink 2.1. Source Replayability 2.2. Source Ordering 2.3. Sink Overwritability 3. Data pipeline patterns 3.1. Extraction patterns 3.1.1. Time ranged 3.1.2. Full Snapshot 3.1.3. Lookback 3.1.4. Streaming 3.2. Behavioral 3.2.1. Idempotent 3.2.2. Self-healing 3.3. Structural 3.3.1. Multi-hop pipelines 3.3.2. Conditional/ Dynamic pipelines 3.3.3.

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How To Overcome The Fear of Math and Learn Math For Data Science

KDnuggets

Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math.".

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Dataframe Showdown – Polars vs Spark vs Pandas vs DataFusion. Guess who wins?

Confessions of a Data Guy

There once was a day when no one used DataFrames that much. Back before Spark had really gone mainstream, Data Scientists were still plinking around with Pandas a lot. My My, what would your mother say? How things have changed. Now everyone wants a piece of the DataFrame pie. I mean it tastes so good, […] The post Dataframe Showdown – Polars vs Spark vs Pandas vs DataFusion.

Data 147
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Data News — Week 22.50

Christophe Blefari

Prepping me to deliver Christmas' Data News ( credits ) Hey you, the end of the year is coming soon. I really liked this year with you. It was super fun to write every Friday of the year my opinion on data topics, I don't know yet if next year I'll be able to pull out stuff without repeating myself, I hate repeating myself, but for sure I'll try and I'll continue.

Kafka 130
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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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Reducing Data Analytics Costs In 2023 – Doing More With Less

Seattle Data Guy

If you haven’t started looking for ways to improve your data analytics budget for 2023, then you’re probably already behind. The truth is that between all of the various economic indicators and investor letters, everyone is looking to improve audit all parts of their business. Especially where there has likely been bloat. One of those… Read more The post Reducing Data Analytics Costs In 2023 – Doing More With Less appeared first on Seattle Data Guy.

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Top 5 NLP Cheat Sheets for Beginners to Professional

KDnuggets

The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.

Algorithm 160

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Run Your Applications Worldwide Without Worrying About The Database With Planetscale

Data Engineering Podcast

Summary One of the most critical aspects of software projects is managing its data. Managing the operational concerns for your database can be complex and expensive, especially if you need to scale to large volumes of data, high traffic, or geographically distributed usage. Planetscale is a serverless option for your MySQL workloads that lets you focus on your applications without having to worry about managing the database or fight with differences between development and production.

Database 100
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Cloudera Named a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMS)

Cloudera

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has been recognized in this cloud DBMS report since its inception in 2020. This year we’ve been named a Leader. This validates our significant momentum in global enterprises. And together, with our recent recognition in the Gartner Peer Insights Customer Choice Distinction for Cloud DBMS , cements our position as an industry leader.

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Free Intermediate Python Programming Crash Course

KDnuggets

Master the basics of python with this free crash course.

Python 160
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Put Your Data to Work: Top 5 Data Technology Trends for 2023

Confluent

As businesses move to meet modern demands, these technologies ensure not only a digital transformation, but data transformation, with new use cases surrounding real-time data.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Convert Your Unstructured Data To Embedding Vectors For More Efficient Machine Learning With Towhee

Data Engineering Podcast

Preamble This is a cross-over episode from our new show The Machine Learning Podcast , the show about going from idea to production with machine learning. Summary Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information.

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OCBC Bank Accelerates Its Data Strategy with Cloudera 

Cloudera

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. OCBC Bank is the second largest financial services group in Southeast Asia by assets and one of the most highly-rated banks in the world. Recognised for its financial strength and stability, OCBC Bank is consistently ranked among the World’s Top 50 Safest Banks by Global Finance.

Banking 81
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The Complete MLOps Study Roadmap

KDnuggets

Kickstart your career as an MLOps Engineer with this study roadmap.

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Career stories: Next-gen systems, servers, and SREs

LinkedIn Engineering

Saira joined our Bangalore site reliability engineering (SRE) team to tackle large-scale, site engineering challenges and grow. She highlights for us the impactful work she found here �����from ushering in LinkedIn���s next-generation, server query system that runs over a fleet of 350,000 servers, to mentoring the next generation of female engineers: In my engineering career, I���ve always followed the path less taken.

Systems 55
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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The Primary Causes of Enterprise Data Quality Problems

Acceldata

Data quality is an ever-present issue. But with the right approach, it’s possible to identify data quality problems before they impact your business.

Data 52
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Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale.

Cloud 80
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5 Python Projects for Data Science Portfolio

KDnuggets

Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.

Portfolio 152
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Accelerating Code Delivery By 97% With Yarn Workspaces

LinkedIn Engineering

As teams and applications experience growth, it���s critical to adopt architectures that optimize for clear code ownership, build isolation, and provide efficient delivery of code. While many projects start small with just one or two repositories (for example, frontend and backend), this approach often becomes difficult to maintain as the codebases expand.

Coding 55
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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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FIFA World Cup 2022: Insights from Spotters

ThoughtSpot

The FIFA World Cup 2022 is nearing its end, and the final game promises to be a nail biter. What started with 32 countries battling it out for close to a month, will now culminate in a play-off between Argentina and France. FIFA projects more than 5 billion people to tune in for the tournament, perhaps making the World Cup Final 2022 the most watched event of the year!

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How Agencies Can Gain the Cyber Edge with Smart Data Solutions

Cloudera

How Agencies Can Gain the Cyber Edge with Smart Data Solutions. For the vast majority of US citizens, the front lines of conflict are witnessed from thousands of miles away on the nightly news. But for government agencies, these physical conflicts are the tip of the iceberg as cyberattacks persist as an underlying constant, inflicting enduring damage regardless of geopolitical tension or location. .

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Markdown Cheatsheet

KDnuggets

Markdown is a lightweight markup language for creating formatted text using a plain-text editor. Grab this handy reference sheet to make certain you know how to implement what you need to, when you want to!

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Ocelot: Scaling observational causal inference at LinkedIn

LinkedIn Engineering

Co-authors:�� Kenneth Tay and Xiaofeng Wang At Linkedin, we constantly evaluate the value our products and services deliver, so that we can provide the best possible experiences for our members and customers. This includes understanding how product changes impact key metrics related to those experiences. However, simply looking at connections between product changes and key metrics can be misleading.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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Using rideshare data to evaluate racial bias in the issuance of speeding citations

Lyft Engineering

The disproportionate impact of policing on communities of color¹ is a central social and policy concern in the United States, and a topic of intense study in academia. Lyft is uniquely positioned to contribute to this discourse and the academic research and literature on this topic using data from the large number of trips on our rideshare platform.

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Emerging Technologies: Top 10 Articles Every One Must Read In 2022

U-Next

Exploring the unknown and achieving new milestones every other day seems to be the norm of the 21 st century. Even at the peak of technological innovation and yet hungry to discover and innovate things never heard of before, our determination does not seem to be even mildly deterred by a global pandemic. In fact, the pandemic only made us realize how much we do not know about the world we live in and how much more there is to know and discover.

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Zero-shot Learning, Explained

KDnuggets

How you can train a model to learn and predict unseen data?

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Roche adopts self-service analytics in ‘a perfect storm’

ThoughtSpot

Late last June, I had the opportunity to attend a ThoughtSpot User Group session in London and share how ThoughtSpot has impacted global procurement at Roche—notably how it’s helped my team not become a dashboard factory for the rest of our business. For 125 years, Roche has been making a difference in the lives of millions. Based out of Basel, Switzerland, we’re a multinational healthcare company with 100,000 plus employees that operates worldwide under two divisions: Pharmaceuticals and Diagno

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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It’s Time for Financial Services to Bank on Data Observability

Acceldata

Data observability can data help banks and other finserv players drive growth and profit margins with data quality and data reliability.

Banking 52
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Building a Cybersecurity Lakehouse for CrowdStrike Falcon Events Part III

databricks

In Part I of this series, we walked through the process of setting up a Cybersecurity Lakehouse that allowed us to collect and.

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Tuning Adam Optimizer Parameters in PyTorch

KDnuggets

Choosing the right optimizer to minimize the loss between the predictions and the ground truth is one of the crucial elements of designing neural networks.

Designing 119
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Emerging Technologies: What Did Everyone Want To Know In 2022?

U-Next

Exploring the unknown and achieving new milestones every other day seems to be the norm of the 21 st century. Even at the peak of technological innovation the human’s hunger or determination to discover and innovate things never heard of before does not seem to be even mildly deterred even by a global pandemic. In fact, the pandemic only made us realize how much we do not know about the world we live in and how much more there is to know and discover.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m