Tue.Feb 27, 2024

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Free Data Analyst Bootcamp for Beginners

KDnuggets

Want to become a data analyst? This free beginner-friendly data analyst bootcamp is all you need.

Data 158
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Introducing Apache Kafka 3.7

Confluent

Apache Kafka 3.7 introduces updates to the Consumer rebalance protocol, an official Apache Kafka Docker image, JBOD support in Kraft-based clusters, and more!

Kafka 140
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How to Learn Python Basics With ChatGPT

KDnuggets

Your Ultimate Learning Companion.

Python 144
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Introducing DoorDash’s In-House Search Engine

DoorDash Engineering

We reviewed the architecture of our global search at DoorDash in early 2022 and concluded that our rapid growth meant within three years we wouldn’t be able to scale the system efficiently, particularly as global search shifted from store-only to a hybrid item-and-store search experience. Our analysis identified Elasticsearch as our architecture’s primary bottleneck.

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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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Anatomy of a Structured Streaming job

Waitingforcode

Apache Spark Structured Streaming relies on the micro-batch pattern which evaluates the same query in each execution. That's only a high level vision, though. Under-the-hood, there are many other interesting things that happen.

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Performance Improvements for Stateful Pipelines in Apache Spark Structured Streaming

databricks

Introduction Apache Spark™ Structured Streaming is a popular open-source stream processing platform that provides scalability and fault tolerance, built on top of the S.

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More Trending

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Marketplace Monetization: Turn Your Data and Apps into a Revenue Stream

Snowflake

Snowflake Marketplace is a vibrant resource, with hundreds of providers offering thousands of ready-to-try or ready-to-buy third-party data sets, applications and services. Many of these providers make their products available on Snowflake Marketplace for Snowflake customers to purchase — and they use our integrated Marketplace Monetization capabilities to simplify the process and speed up procurement and sales cycles.

Bytes 104
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The Unconscious Patient Problem: A Look at the Importance Of Entity Resolution in Healthcare and Life Sciences

databricks

This blog was written in collaboration with Tim Sedlak, Senior Solutions Architect at Stardog In healthcare and life sciences, accuracy is everything. That's.

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Effortless Stream Processing on Any Cloud – Flink Actions, Terraform Support, and Multi-Cloud Availability

Confluent

Learn about key new features added to our serverless Flink offering this year including Topic Actions, Terraform support, and expansion into GCP and Azure.

Cloud 75
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Fine-Grained Human Feedback

databricks

In this blog post, we discuss Fine-Grained RLHF, a framework that enables training and learning from reward functions that are fine-grained in two.

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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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5 Skills Data Engineers Should Master to Keep Pace with GenAI

Monte Carlo

If you’re a data engineer experiencing GenAI-induced whiplash, you’re not alone. On one hand, everyone’s talking about whether GenAI’s not-insignificant data engineering skills are going to automate away their jobs. On the other, business leaders are realizing that slapping a quick ChatGPT integration into their product isn’t going to cut it — and they’re looking to data engineers for a better solution.

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Automating Dynamic Table Creation with Event Logging

Cloudyard

Read Time: 2 Minute, 18 Second In the ever-evolving world of data management, streamlining processes and ensuring data freshness are crucial. Snowflake, a cloud-based data platform, provides a revolutionary feature known as Dynamic Tables. This blog post showcases a novel approach combining Snowflake’s Event Logging and Dynamic Tables to automate the creation and population of dynamic tables based on Copy operations.

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Confluent Champion Sergio on Engineering Customer Success

Confluent

Learn more about Sergio’s experience at Confluent as a solutions engineer and what he appreciates most about his role in customer success and his team.

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How are Changeless Principles Responsible For Project success In Software Industry?

Knowledge Hut

Introduction No other industry perhaps is characterized by a change as much as the software industry. While every segment of society and more so the industry, goes through change, the pace and magnitude of change in the software industry are leaps and bounds ahead of all other segments. This magnitude of change can be unsettling as just when one thinks that one has cracked the secret of success, the rug is pulled from under the feet by the change and success formulae have to be reinvented all ov

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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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Your Generative AI LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers

DataKitchen

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. LLMs have the potential to revolutionize how we interact with data, automate processes, and extract insights.