Sat.Nov 04, 2023 - Fri.Nov 10, 2023

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Monitoring Data Quality for Your Big Data Pipelines Made Easy

Analytics Vidhya

Introduction Imagine yourself in command of a sizable cargo ship sailing through hazardous waters. It is your responsibility to deliver precious cargo to its destination safely. Determine success by the precision of your charts, the equipment’s dependability, and your crew’s expertise. A single mistake, glitch, or slip-up could endanger the trip. In the data-driven world […] The post Monitoring Data Quality for Your Big Data Pipelines Made Easy appeared first on Analytics Vidhya.

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Asked to do something illegal at work? Here’s what these software engineers did

The Pragmatic Engineer

The below topic was sent out to full subscribers of The Pragmatic Engineer , three weeks ago, in The Pulse #66. I have received several messages from people asking if they can pay to “unlock” this information for others, given how vital it is for software engineers. It is vital, and so I’m sharing this with all readers, without a paywall.

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Navigating Data Science Job Titles: Data Analyst vs. Data Scientist vs. Data Engineer

KDnuggets

No, they’re not the same jobs! Learn what responsibilities, skills, and tools used make them different. Then, choose the right career path for you.

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Shining Some Light In The Black Box Of PostgreSQL Performance

Data Engineering Podcast

Summary Databases are the core of most applications, but they are often treated as inscrutable black boxes. When an application is slow, there is a good probability that the database needs some attention. In this episode Lukas Fittl shares some hard-won wisdom about the causes and solution of many performance bottlenecks and the work that he is doing to shine some light on PostgreSQL to make it easier to understand how to keep it running smoothly.

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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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What’s New in ArcGIS Pro 3.2

ArcGIS

From oriented imagery to engaging thematic map series, there is something for everyone in this release of ArcGIS Pro 3.2.

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Databricks + Arcion: Real-time enterprise data replication to the Lakehouse

databricks

We are excited to announce that we have completed our acquisition of Arcion, a leading provider for real-time data replication technologies. Arcion’s capabilities w.

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More Trending

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Patching the PostgreSQL JDBC Driver

Zalando Engineering

Introduction This blog post describes a recent contribution from Zalando to the Postgres JDBC driver to address a long-standing issue with the driver’s integration with Postgres’ logical replication that resulted in runaway Write-Ahead Log (WAL) growth. We will describe the issue, how it affected us at Zalando, and detail the fix made upstream in the JDBC driver that fixes the issue for Debezium and all other clients of the Postgres JDBC driver.

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Enhancing the security of WhatsApp calls

Engineering at Meta

New optional features in WhatsApp have helped make calling on WhatsApp more secure. “Silence Unknown Callers” is a new setting on WhatsApp that not only quiets annoying calls but also blocks sophisticated cyber attacks. “Protect IP Address in Calls” is a new setting on WhatsApp that helps hide your location from other parties on the call. Privacy and security are at the core of WhatsApp.

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Table file formats - checkpoints: Delta Lake

Waitingforcode

Checkpoints are a well-known fault-tolerance mechanism in stream processing. But what does it have to do with Delta Lake?

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Top 7 Essential Cheat Sheets To Ace Your Data Science Interview

KDnuggets

The blog covers cheat sheets on SQL, statistics, pandas, data visualization, scikit-learn, Git, and theoretical data science concepts.

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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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Let’s do data science V: New Multidimensional Raster Capabilities

ArcGIS

This blog summarizes new capabilities on multidimensional raster, STAC, trajectory data, and image processing in ArcGIS Pro 3.

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Introducing Python User-Defined Table Functions (UDTFs)

databricks

Apache Spark™ 3.5 and Databricks Runtime 14.0 have brought an exciting feature to the table: Python user-defined table functions (UDTFs). In this blog p.

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How Modern Automotive Companies Can Generate Value With Connected Mobility

Snowflake

From connected cars and fleets of commercial vehicles to connected smart home devices, it’s estimated there are more than 14 billion products equipped with sensors, processors, software and connectivity worldwide—a number that is projected to almost double by 2030. The sheer amount of connected product data—petabytes generated on a daily basis—is reshaping manufacturing by presenting new business opportunities as well as tackling challenges that have for a long time stalled innovation.

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5 Ways You Can Use ChatGPT Vision for Data Analysis

KDnuggets

Enhances data analysis by interpreting visual data, including math formula, data extraction, evaluating the results, dashboards, and charts.

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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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License Changes coming to the ArcGIS Parcel Fabric with ArcGIS Enterprise 11.2.

ArcGIS

With ArcGIS Enterprise 11.2, the parcel fabric user type extension is replaced by the Advanced Editing user type extension.

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Arrow-optimized Python UDFs in Apache Spark™ 3.5

databricks

In Apache Spark™, Python User-Defined Functions (UDFs) are among the most popular features. They empower users to craft custom code tailored to their u.

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Running Unified PubSub Client in Production at Pinterest

Pinterest Engineering

Jeff Xiang | Software Engineer, Logging Platform Vahid Hashemian | Software Engineer, Logging Platform Jesus Zuniga | Software Engineer, Logging Platform At Pinterest, data is ingested and transported at petabyte scale every day, bringing inspiration for our users to create a life they love. A central component of data ingestion infrastructure at Pinterest is our PubSub stack, and the Logging Platform team currently runs deployments of Apache Kafka and MemQ.

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10 Essential Pandas Functions Every Data Scientist Should Know

KDnuggets

This article contains ten Pandas functions that are important as well as handy for every data scientist.

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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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Why I joined ThoughtSpot: Kelley Jarrett, SVP Strategy, Operations and Enablement

ThoughtSpot

This blog is part of our ongoing ‘Why I joined ThoughtSpot’ series. In this blog, we will learn more about our recent hire Kelley Jarrett who joined us as SVP Strategy, Operations and Enablement Kelley Jarrett recently joined ThoughtSpot as SVP Strategy, Operations and Enablement, and is based out of Charleston, South Carolina. In this role, Kelley will focus on setting and executing the go-to-market strategy, so ThoughtSpot can continue to meet growing customer demand.

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Supply Chain Disruption and ESG Risk Management Powered by Bloomberg Data in the Databricks Lakehouse Platform

databricks

This blog is the first of a series of blog posts highlighting industry-leading data providers we collaborate with and Marketplace data providers. Special.

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Apache Ozone – A Multi-Protocol Aware Storage System

Cloudera

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? The vast tapestry of data types spanning structured, semi-structured, and unstructured data means data professionals need to be proficient with various data formats such as ORC, Parquet, Avro, CSV, and Apache Iceberg tables, to cover the ever growing spectrum of datasets – be they images, videos, sensor data, or other type of media content

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Back to Basics Week 1: Python Programming & Data Science Foundations

KDnuggets

Cultivate your data science expertise with KDnuggets' Back to Basics pathway, which includes Python, data manipulation, and visualization.

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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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Snowflake Announces Cyber Essentials Plus Certification

Snowflake

Ensuring a seamless data experience that complies with regulatory frameworks, particularly in the public sector, is crucial. Research from the U.K. government found as many as 32% of businesses and 24% of charities suffered online breaches or cyberattacks in the last 12 months. In this increasingly interconnected world, national stability depends on thoughtful data governance and safeguarding.

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Built-In Governance for Your Databricks Workspace

databricks

Databricks Unity Catalog simplifies data and AI governance by providing a unified solution for organizations to securely discover, access, monitor, and collaborate on.

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How Meta built Threads in 5 months

Engineering at Meta

In about five short months, a small team of engineers at Meta took Threads, the new text-based conversations app, from from an idea to the most successful app launch of all time, pulling in over 100M users in its first five days. But this achievement wouldn’t have been possible without Meta’s existing systems and infrastructure. On the latest episode of the Meta Tech Podcast , Meta engineer Pascal Hartig ( @passy ) is joined by Joy Qiu , Cameron Roth, and Richard Zadorozny, three

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Introduction to Giskard: Open-Source Quality Management for AI Models

KDnuggets

To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

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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 Much Can A CSD Earn After Completing The Course Successfully?

Knowledge Hut

In the competitive job market of today, the Certified Scrum Developer training is one thing that can set you apart from the rest. A successful Scrum Developer is committed to delivering continuous improvement. The dedication and coursework that is needed for the achievement of a CSD certification will help you to sharpen your skills leading you to become a much better practitioner of Scrum.

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It’s Time for Streaming Architectures for Every Use Case

databricks

In today's data-driven world, organizations face the challenge of effectively ingesting and processing data at an unprecedented scale. With the amount and variety.

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Delta Lake?—?Partitioning, Z-Order and Liquid Clustering

Towards Data Science

How are different partitioning/clustering methods implemented in Delta? How do they work in practice?

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AI + No-Code: The Viral Combo Redefining Developer Innovation

KDnuggets

Time is the one thing developers can never get back. The author, discusses the value of low code/no code platforms backed by AI in promoting faster development times and increased business agility.

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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