Fri.Jul 05, 2024

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Tuning Hyperparameters in Neural Networks

KDnuggets

Learn essential techniques for tuning hyperparameters to enhance the performance of your neural networks.

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Understand flooding using ArcGIS Pro with new flood simulation workflows, Arc Hydro and the Flood Impact Analysis solution

ArcGIS

Learn more about the collection of data models, workflows, and planning tools tailored for flooding available in ArcGIS Pro 3.3.

Data 115
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How to Speed Up Python Pandas by Over 300x

KDnuggets

In this blog, we will define Pandas and provide an example of how you can vectorize your Python code to optimize dataset analysis using Pandas to speed up your code over 300x times faster.

Python 136
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The Future of Data Engineering and Data Engineers

Knowledge Hut

In my experience, data silos have emerged as a significant challenge for organizations. Large enterprises heavily rely on data for informed decision-making, and this reliance is where data engineers step in. Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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If You Want to Get in the Tech Space: Become A Software Developer

KDnuggets

Currently ranked as the #1 job in the tech world!

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Monzo Stand-in, a smarter approach to DORA by Andrew Carr

Scott Logic

The impending Digital Operational Resilience Act (DORA) aims to strengthen the IT security of financial entities such as banks, insurance companies and investment firms across Europe. While the regulations will standardise ICT risk management, business continuity, and incident response, they won’t recommend best practice resilience strategies that banks should adopt.

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What is Amazon Machine Image (AMI)?

Edureka

Amazon Machine Image (AMI) is an image in the public or private cloud storage that stores information relating to virtual machines known as instances in Amazon’s Elastic Compute Cloud (EC2). In the following article, you will learn more about in addition to how and the details of Amazon AMI Image and some of the subclasses in the virtualization of Amazon Linux AMIs.

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Snowflake Snowpipe: The Ultimate Tool For Data Loading

Hevo

Data practitioners often need manual intervention to load large volumes of data into Snowflake in near real-time. Traditional batch loading can be slow and intensive and may lead to latency and increased operational costs. Enter Snowflake Snowpipe.

Data 52
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Tableau Prep Builder: Streamline Your Data Preparation Process

Edureka

Proper data pre-processing and data cleaning in data analysis constitute the starting point and foundation for effective decision-making, though it can be the most tiresome phase. Apart from the Tableau Desktop and Tableau Server, another tool in the Tableau solution family called Tableau Prep focuses on a critical step in preparing the data that goes into analysis in databases/spreadsheets or Tableau itself.

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Apache Iceberg Table Format: Comprehensive Guide

Hevo

According to the World Economic Forum*, by 2025, the world is expected to generate 463 exabytes of data each day. Here are some key daily statistics: For over a decade, the Hive table format has been a cornerstone of the big data ecosystem, efficiently managing vast amounts of data.

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Apache Airflow®: The Ultimate Guide to 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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waterfall chart in tableau

Edureka

In data visualization, the Tableau Waterfall Chart stands out as a powerful tool for illustrating sequential changes in data over time or through different categories. This dynamic chart type allows analysts and stakeholders to track the cumulative effect of positive and negative values, making it ideal for financial analysis, profit-and-loss statements, and operational performance reviews.

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Snowflake Arctic: Getting Started with Snowflake’s new LLM

Hevo

Snowflake launched its new open-source, “state-of-the-art ” large language model, Snowflake Arctic, in April 2024. The data cloud company announced that the primary idea behind this innovation was to simplify adopting AI on enterprise data. At its core, Arctic offers a collection of embedding models that help you extract valuable insights from your data efficiently.

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Snowflake Snowpipe Azure Integration: Real-Time Data Ingestion Made Easy

Hevo

Managing data ingestion from Azure Blob Storage to Snowflake can be cumbersome. Manual processes lead to inefficiencies and potential errors while also increasing operational overhead. But what if you could automate the process, ensure data integrity, and leverage real-time analytics? In this guide, I’ll walk you through the automated process of Snowflake Snowpipe Azure Integration.