Wed.Jul 10, 2024

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How to Merge Large DataFrames Efficiently with Pandas

KDnuggets

Let's learn how to efficiently merge large Pandas dataframes.

Python 143
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Data+AI Summit 2024 - Retrospective - Streaming

Waitingforcode

Welcome to the first Data+AI Summit 2024 retrospective blog post. I'm opening the series with the topic close to my heart at the moment, stream processing!

Data 130
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Probability: A Statology Primer

KDnuggets

Learn all about probability with this collection of tutorials from our sister site Statology.

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Meta’s approach to machine learning prediction robustness

Engineering at Meta

Meta’s advertising business leverages large-scale machine learning (ML) recommendation models that power millions of ads recommendations per second across Meta’s family of apps. Maintaining reliability of these ML systems helps ensure the highest level of service and uninterrupted benefit delivery to our users and advertisers. To minimize disruptions and ensure our ML systems are intrinsically resilient, we have built a comprehensive set of prediction robustness solutions that ensure stability w

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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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Introducing Cloudera Observability Premium

Cloudera

There’s nothing worse than wasting money on unnecessary costs. In on-premises data estates, these costs appear as wasted person-hours waiting for inefficient analytics to complete, or troubleshooting jobs that have failed to execute as expected, or at all. They manifest as idle hardware waiting for urgent workloads to come in, ensuring sufficient spare capacity to run them amidst noisy neighbors and resource-hungry, lower-priority workloads.

Metadata 105
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Taming the tail utilization of ads inference at Meta scale

Engineering at Meta

Tail utilization is a significant system issue and a major factor in overload-related failures and low compute utilization. The tail utilization optimizations at Meta have had a profound impact on model serving capacity footprint and reliability. Failure rates, which are mostly timeout errors, were reduced by two-thirds; the compute footprint delivered 35% more work for the same amount of resources; and p99 latency was cut in half.

Utilities 100

More Trending

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Beyond Coding: Why The Human Touch Matters

KDnuggets

The rise of soft skills in 2024 and why you should not neglect them!

Coding 67
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Open Platform at the 2024 Esri User Conference

ArcGIS

Use this resource to find all the Open Platform focused sessions and activities at the 2024 Esri User Conference you won't want to miss.

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Leverage graph technology for real-time Fraud Detection and Prevention

Booking.com Engineering

Written by Deepak Patankar and Mathijs de Jong Introduction At Booking.com we are dedicated to maintaining a secure and trustworthy platform for both our customers and partners. Our work involves addressing a multitude of threats, ranging from payment fraud to the proliferation of fake hotels and reviews, as well as the abuse of marketing campaigns.

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Looking for an Alternative to the Microsoft Planetary Computer Hub?

ArcGIS

Esri users can leverage the Planetary Computer data catalog for geospatial analysis with ArcGIS for Microsoft Planetary Computer.

Data 52
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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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Automating Warehouse Usage Reports in Snowflake

Cloudyard

Read Time: 1 Minute, 37 Second Efficient management of Snowflake resources is crucial for optimizing performance and cost. One of the key aspects is monitoring warehouse usage. In this blog post, we’ll explore a use case where we automate the reporting of warehouse usage and send detailed weekly summaries via email. Our Organization is a data-driven organization relying heavily on Snowflake for its data warehousing needs.

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Snowpipe Alternatives You Should Consider for Your Data Needs

Hevo

While you can use Snowpipe for straightforward and low-complexity data ingestion into Snowflake, Snowpipe alternatives, like Kafka, Spark, and COPY, provide enhanced capabilities for real-time data processing, scalability, flexibility in data handling, and broader ecosystem integration.

Kafka 52
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Power Automate Visual Use Cases for Power BI Reports

RandomTrees

Power Automate is an automation tool developed by Microsoft with the intention to allow citizen developers to access the capability of automation in day-to-day tasks. Whether you are an IT, Marketing, Finance, or HR professional, you will be able to use Power Automate. With the help of power automation one can create a flow to send an alert email whenever a new row is created in a SharePoint list.

BI 52
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Predictive Analytics in Logistics: Forecasting Demand and Managing Risks

Striim

The utilization of predictive analytics has revolutionized nearly every industry, but perhaps none have experienced its transformative impact quite as profoundly as logistics. In an era marked by rapid technological advancements and ever-increasing customer expectations, the ability to accurately predict demand and efficiently mitigate risks can make or break logistics operations.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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13 Benefits of Virtualization in Cloud Computing 2024

Knowledge Hut

Since the birth of cloud computing, virtualization has become a common practice in IT. It creates virtual versions of physical items like storage devices, desktops, and servers. Cloud service providers offer these resources, allowing companies to rent them without managing physical services. This reduces IT costs and enhances performance by not limiting physical servers to a few applications.

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Ethical Hacking vs Cyber Security – Key Differences Explained

Edureka

Even though cybersecurity and ethical hacking are related, they are two distinct fields. Ethical hackers/ white hat hackers, actively probe systems for vulnerabilities and fix them. Cybersecurity is a much broader field. Cybersecurity professionals adopt a defensive stance. Their job is to implement and maintain various security controls, such as firewalls, encryption, and access management.

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How to Create Streamlit Apps on Snowflake? – A Step by Step Guide

Hevo

The choice of data management system determines how quickly and in real-time you can store and access information. Some cloud database architectures, like Snowflake, offer a scalable and flexible environment for processing large datasets.

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Reconnaissance in Ethical Hacking: The First Step to Secure Networks

Edureka

Reconnaissance is the initial stage of hacking, and it is ethical. It involves acquiring intelligence on a target with the intention of exploiting their weaknesses. This information proves helpful to hackers when planning how to launch an attack. Now, let us understand what reconnaissance in ethical hacking means, why it is necessary, and how to perform it.

Media 40
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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A Brief History of Modern Data Stack

Data Engineering Weekly

The origin - a legend The origin of the modern data stack is a topic of intense debate, shrouded in uncertainty and mystery. Some attribute its incubation to Snowflake, Redshift, or Airflow, while others propose different theories. Rather than being the result of a single event, the term "modern data stack" emerged from a series of innovations and industry shifts, adding to the intrigue of its history.

Hadoop 124