Tue.Feb 27, 2024

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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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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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Robinhood Money Drills Kicks Off 2024 With Three New Universities

Robinhood

Florida State University, Coastal Carolina University, and the University of California, Berkeley will introduce financial education coursework with support from Robinhood Money Drills Robinhood Markets, Inc. is launching Robinhood Money Drills with three new universities, including Florida State University, Coastal Carolina University, and the University of California, Berkeley.

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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 139
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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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Performance Improvements for Stateful Pipelines in Apache Spark Structured Streaming

databricks

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

Process 105
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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 73

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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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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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How to Learn Python Basics With ChatGPT

KDnuggets

Your Ultimate Learning Companion.

Python 111
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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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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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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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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.

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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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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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.

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