Sat.Jan 01, 2022 - Fri.Jan 07, 2022

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SQL Interview Questions for Experienced Professionals

KDnuggets

This article will show you what SQL concepts you should know as an experienced professional.

SQL 160
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The Link To Cloud: How to Build a Seamless and Secure Hybrid Data Bridge with Cluster Linking

Confluent

Chances are your business is migrating to the cloud. But if you operate business applications in an on-premises datacenter, you know firsthand that the journey to the cloud is fraught […].

Cloud 124
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Data Observability Out Of The Box With Metaplane

Data Engineering Podcast

Summary Data observability is a set of technical and organizational capabilities related to understanding how your data is being processed and used so that you can proactively identify and fix errors in your workflows. In this episode Metaplane founder Kevin Hu shares his working definition of the term and explains the work that he and his team are doing to cut down on the time to adoption for this new set of practices.

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Trend-Setting Products in Data and Information Management for 2022

DataKitchen

The post Trend-Setting Products in Data and Information Management for 2022 first appeared on DataKitchen.

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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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Deliver a Killer Presentation in Data Science Interviews

KDnuggets

How to present yourself as a strong candidate in interview presentations.

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Auto-Balance and Optimize Apache Kafka Clusters with Improved Observability and Elasticity in Confluent Platform 7.0

Confluent

While Self-Balancing Clusters (SBC) perform effectively in balancing Apache Kafka® clusters, one of the common themes we hear from our users is that they would love some visibility into the […].

Kafka 105

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Data Science and AI Predictions for 2022

DataKitchen

The post Data Science and AI Predictions for 2022 first appeared on DataKitchen.

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Automate Microsoft Excel and Word Using Python

KDnuggets

Integrate Excel with Word to generate automated reports seamlessly.

Python 160
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10 Python Data Visualization Libraries to Win Over Your Insights

ProjectPro

Can you believe that the human brain takes only 13 milliseconds to process an image? Humans crave stories, and visualizations allow us to create one from data. The majority of data that data scientists and machine learning engineers work with is in a structured or unstructured format that is challenging for humans to analyze and comprehend. Understanding data requires the use of data visualizations, and this is because visuals are processed 60,000 times faster than text inside the human brain.

Python 52
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A Reflection On The Data Ecosystem For The Year 2021

Data Engineering Podcast

Summary This has been an active year for the data ecosystem, with a number of new product categories and substantial growth in existing areas. In an attempt to capture the zeitgeist Maura Church, David Wallace, Benn Stancil, and Gleb Mezhanskiy join the show to reflect on the past year and share their thought son the year to come. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to

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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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DataOps For Business Analytics Teams

DataKitchen

Business analysts often find themselves in a no-win situation with constraints imposed from all sides. Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics.

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Learn Deep Learning by Building 15 Neural Network Projects in 2022

KDnuggets

Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.

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Implementing GFANZ Requirements Needs Granular Data at Scale – Here’s How to Prepare

Teradata

Learn more about the pressures and some of the potential responses for banks in the rapidly evolving area of climate risk.

Banking 52
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Creating Shared Context For Your Data Warehouse With A Controlled Vocabulary

Data Engineering Podcast

Summary Communication and shared context are the hardest part of any data system. In recent years the focus has been on data catalogs as the means for documenting data assets, but those introduce a secondary system of record in order to find the necessary information. In this episode Emily Riederer shares her work to create a controlled vocabulary for managing the semantic elements of the data managed by her team and encoding it in the schema definitions in her data warehouse.

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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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Mythbusting: The Venerable SQL Database and Today’s Real-Time Analytics

Rockset

Rockset is the real-time analytics database in the cloud for modern data teams. Get faster analytics on fresher data, at lower costs, by exploiting indexing over brute-force scanning. It's not your father’s Oracle cluster, but better.* We all know the lightning pace of software innovation. Show me a technology or platform that’s been around for a decade, and I’ll show you an outmoded relic that’s been leapfrogged by faster, more efficient competitors.

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Why are More Developers Using Python for Their Machine Learning Projects?

KDnuggets

To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.

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Monte Carlo Announces dbt Core Integration to Help Companies Ship Reliable Data Faster

Monte Carlo

When it comes to trusting your data, Monte Carlo, the leading data observability platform and dbt Core are better together. “Why didn’t my job run?” “What happened to this dashboard?” “Why is this column missing?” “What went wrong with my data?!” If you’ve been on the receiving end of a broken data pipeline, these questions probably look familiar to you.

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Top Retail Predictions for 2022

Teradata

From supply chain to inflation, our top retail industry consultants weigh in on what the retail & CPG industry will experience in 2022 and beyond.

Retail 52
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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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DataOps: What Is It, Core Principles, and Tools For Implementation

phData: Data Engineering

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Your business likely has competitors that are trying to beat you to market, technology is constantly evolving, and so are your customers.

IT 52
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How I Tripled My Income With Data Science in 18 Months

KDnuggets

Over a year ago, I lost my job due to the COVID-19 pandemic. During this this, I taught myself data science and tripled my income.

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RudderStack and Braze Power Advanced Customer Engagement

RudderStack

Leveraging RudderStack with Braze, you can effortlessly sync data in and out of the customer engagement platform.

Data 40
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Check out my first course on LinkedIn Learning: Security in Fintech – Essential Training

Hepta Analytics

Today my first LinkedIn Learning course on securing fintech solutions went live! Securing fintech solutions from Security in Fintech Essential Training by Emmanuel Chebukati It was an exciting surprise to wake up to the notifications of the course’s release, and to see the initial reactions it elicited. This demonstrative course covers the essentials that fintech providers and professionals in the industry ought to implement to arrive at a baseline security posture.

Media 40
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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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What is Data Engineering? Everything You Need to Know in 2022

phData: Data Engineering

What is Data Engineering? Everything You Need to Know in 2022 Nick Goble January 4, 2022 It’s easy to overlook the amount of data that’s being generated every day — from your smartphone, your Zoom calls, to your Wi-Fi-connected dishwasher. It is estimated that the world will have created and stored 200 Zettabytes of data by the year 2025.

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Hands-on Reinforcement Learning Course Part 3: SARSA

KDnuggets

This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO. Today we will learn about SARSA, a powerful RL algorithm.

Algorithm 159
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Refactoring RudderStack's High-performance JavaScript SDK

RudderStack

This post details our engineering team's decision making process for optimizing our Javascript SDK and highlights the results of their work.

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TypeScript Types from Class Properties

Grouparoo

At Grouparoo, we use a lot of TypeScript. We are always striving to enhance our usage of strong TypeScript types to make better software, and to make it easier to develop Grouparoo. Strong types make it easy for team members to get quick validation about new code, and see hints and tips in their IDEs - a double win! Recently, I found myself repeating a lot of metadata when defining a new API endpoint as I was working to enable noImplicitAny within the @grouparoo/core project.

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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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How to Build a Logistic Regression Model in R?

ProjectPro

Whether it is predicting the likelihood of having a heart attack based on weight and workout routine or predicting the probability of email being spam based on the country of origin and word count -logistic regression is widely used because of its remarkable results. It is a machine learning method to solve a classification problem by differentiating one class from another in a given dataset.

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Misconceptions About Semantic Segmentation Annotation

KDnuggets

Semantic segmentation is a computer vision problem that entails putting related elements of an image into the same class. Read on to discover more, including the difficulties associated with annotation.

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The State of Data Engineering in 2022

RudderStack

In 2021, we wrote about trends we saw emerging in data engineering and made a few predictions. Here, we revisit those predictions and make a few for 2022.

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What is Transfer Learning?

KDnuggets

During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.

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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