Thu.Feb 22, 2024

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Data Engineering Best Practices - #2. Metadata & Logging

Start Data Engineering

1. Introduction 2. Setup & Logging architecture 3. Data Pipeline Logging Best Practices 3.1. Metadata: Information about pipeline runs, & data flowing through your pipeline 3.2. Obtain visibility into the code’s execution sequence using text logs 3.3. Understand resource usage by tracking Metrics 3.4. Monitoring UI & Traceability 3.5.

Metadata 130
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7 Free Kaggle Micro-Courses for Data Science Beginners

KDnuggets

Interested in learning data science? Check out these free micro-courses from Kaggle to learn essential data science skills.

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Location Referencing Guide to Esri Partner Conference and Esri Developer Summit

ArcGIS

Join us for an exciting Partner Conference and Developer Summit! Discover the latest in ArcGIS Location Referencing and connect with experts.

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Strengthening Cyber Resilience through Efficient Data Management: A Response to M-21-31

databricks

In today's environment, proactive cybersecurity is crucial to any public sector agency. For many organizations, log data that security professionals need for effective.

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Navigating the Future: Generative AI, Application Analytics, and Data

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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Improve workflows with ArcGIS Aviation Airports and ArcGIS Aviation Charting

ArcGIS

ArcGIS Aviation Airports and ArcGIS Aviation Charting are extensions to ArcGIS Pro that allow users to do their best aviation work with the power of the next generation of desktop software. The tools in these two extensions are enhanced and incorporated in ArcGIS Pro to support your airport, charting, data management, migration, and design needs.

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Beyond the Buzz: Braze Equips Modern Marketers with Powerful AI Tools

Snowflake

A lot of the buzz around AI focuses on its future potential. And we get it — we’re talking about a transformative technology that presents seemingly limitless possibilities. But an important aspect of this world-changing tech story that gets lost in the hype is understanding exactly what AI solutions are available for you and your team to employ right now, today.

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5 Airflow Alternatives for Data Orchestration

KDnuggets

Top list of open-source tools for building and managing workflows.

Data 124
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The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams

DataKitchen

The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is “ Per Alios Culpa Transfertur ” (Blame is Transferred to Others). In the world of data and analytics, one skill stands timeless and universal: the art of blaming someone else when things go sideways.

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Transform Your Business by Moving Your Workload to Google Cloud

RandomTrees

How to Migrate Your Business to the Cloud Moving to the google cloud workload is one of the most impressive things your business can utilize to build your adaptability, flexibility, and productivity. It will furnish your business with 24/7 admittance to key information and center work processes when you want it, regardless of where you are and when it makes the biggest difference.

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Unveiling the 2024 Data Streaming Startup Challenge Finalists

Confluent

The 2024 Data Streaming Startup Challenge Finalists will compete for the grand prize on stage at Kafka Summit London.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Automation is Important to Digital Transformation

Precisely

SAP automation and digital transformation Automation plays a key role in digital transformation initiatives overall, enabling organizations to realize the outcomes they need to remain competitive: agility, speed, and improved data quality and integrity. As automation technologies have evolved over the past decade, organizations have come to recognize that employing automation to streamline business processes is an imperative for success.

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Understanding DynamoDB Secondary Indexes

Rockset

Introduction Indexes are a crucial part of proper data modeling for all databases, and DynamoDB is no exception. DynamoDB's secondary indexes are a powerful tool for enabling new access patterns for your data. In this post, we'll look at DynamoDB secondary indexes. First, we'll start with some conceptual points about how to think about DynamoDB and the problems that secondary indexes solve.