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<channel>
	<title>data &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/data/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Tue, 13 Oct 2026 15:51:41 +0000</lastBuildDate>
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		<title>Rewinding the exponential: How we keep hardware usage down</title>
		<link>https://noise.getoto.net/2026/10/13/rewinding-the-exponential-how-we-keep-hardware-usage-down/</link>
		
		<dc:creator><![CDATA[Cathy Chi]]></dc:creator>
		<pubDate>Tue, 13 Oct 2026 15:51:41 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[infrastructure]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b0ce0b3eca2284a2b8e2d7548156ed33</guid>

					<description><![CDATA[Our strategies to optimize our data pipeline throughput without compromising data quality.]]></description>
		
		
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		<item>
		<title>Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs</title>
		<link>https://noise.getoto.net/2026/08/28/data-mesh-at-grab-part-iii-operationalizing-data-reliability-with-automated-dpis/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Fri, 28 Aug 2026 00:00:00 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[observability]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/data-mesh-at-grab-part-three</guid>

					<description><![CDATA[Introduction

In the first two parts of this series, we described how Grab approaches data mesh through the Signals Marketplace: a way for teams to publish, discover, and reuse trusted data products across domains. Part II introduced the foundational t...]]></description>
		
		
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			</item>
		<item>
		<title>Crowdsourced taxonomy verification: A feedback-driven framework for refining knowledge graph relationships via online search interactions</title>
		<link>https://noise.getoto.net/2026/07/30/crowdsourced-taxonomy-verification-a-feedback-driven-framework-for-refining-knowledge-graph-relationships-via-online-search-interactions/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 30 Jul 2026 00:00:00 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[graphs]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Search]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/crowdsourced-taxonomy-verification</guid>

					<description><![CDATA[Introduction

The efficacy of semantic search relies on the accuracy of the underlying Knowledge Graph (KG). In high-velocity domains like on-demand food delivery or e-commerce, the catalog of entities like dishes, products, and merchants changes rapid...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Scaling Grab&#8217;s Data Lake: Our journey to Apache Iceberg adoption</title>
		<link>https://noise.getoto.net/2026/07/10/scaling-grabs-data-lake-our-journey-to-apache-iceberg-adoption/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate>
				<category><![CDATA[Apache Iceberg]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Spark]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/our-journey-to-apache-iceberg-adoption</guid>

					<description><![CDATA[Introduction: The evolution of Grab’s Data Lake

At Grab’s scale, managing petabytes of data across billions of S3 objects demands more than a storage layer. It demands a robust architectural primitive that supports the high-concurrency needs of a mode...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>The Hugo evolution: Engineering Grab&#8217;s unified, one-click data ingestion platform with Apache Flink</title>
		<link>https://noise.getoto.net/2026/05/22/the-hugo-evolution-engineering-grabs-unified-one-click-data-ingestion-platform-with-apache-flink/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Fri, 22 May 2026 00:23:00 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[FlinkSQL]]></category>
		<category><![CDATA[Hugo]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/one-click-data-ingestion-platform-with-apache-flink</guid>

					<description><![CDATA[Introduction

Data drives every decision we make at Grab. As our operations scale, so does our need for robust, real-time data ingestion and processing frameworks. Enter Hugo: our self-service data platform that has long empowered teams to seamlessly r...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Enhancing Flink Deployment with Shadow Testing</title>
		<link>https://noise.getoto.net/2026/05/07/enhancing-flink-deployment-with-shadow-testing/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 07 May 2026 00:23:00 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[FlinkSQL]]></category>
		<category><![CDATA[testing]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/enchancing-flink-shadow-testing</guid>

					<description><![CDATA[Introduction

Ensuring the reliability of Apache Flink deployments in Grab is crucial for the availability of our business-critical, real-time applications. While all applications are tested in a staging environment before getting promoted to the produ...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Data Mesh at Grab Part II: The Foundational Tools behind Certification</title>
		<link>https://noise.getoto.net/2026/04/30/data-mesh-at-grab-part-ii-the-foundational-tools-behind-certification/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 30 Apr 2026 00:23:00 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Engineering]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/data-mesh-2</guid>

					<description><![CDATA[Introduction

In Part I, we discussed why Grab is investing in a data mesh, referred to as the Signals Marketplace within Grab, as part of our evolving data culture. We also explained how data certification aids teams in reliably reusing data across di...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Data Mesh at Grab Part II: The Foundational Tools behind Certification</title>
		<link>https://noise.getoto.net/2026/04/30/data-mesh-at-grab-part-ii-the-foundational-tools-behind-certification-2/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 30 Apr 2026 00:23:00 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Engineering]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/data-mesh-part-2-the-foundational-tools-behind-certification</guid>

					<description><![CDATA[Introduction

In Part I, we discussed why Grab is investing in a data mesh, referred to as the Signals Marketplace within Grab, as part of our evolving data culture. We also explained how data certification aids teams in reliably reusing data across di...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Scaling Global Storytelling: Modernizing Localization Analytics at Netflix</title>
		<link>https://noise.getoto.net/2026/03/06/scaling-global-storytelling-modernizing-localization-analytics-at-netflix/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Fri, 06 Mar 2026 15:01:27 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[Localization]]></category>
		<category><![CDATA[tech-debt]]></category>
		<guid isPermaLink="false">https://medium.com/p/816f47290641</guid>

					<description><![CDATA[Valentin Geffrier, Tanguy CornuauEach year, we bring the Analytics Engineering community together for an Analytics Summit — a multi-day internal conference to share analytical deliverables across Netflix, discuss analytic practice, and build relationsh...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Human Native is joining Cloudflare</title>
		<link>https://noise.getoto.net/2026/01/15/human-native-is-joining-cloudflare/</link>
		
		<dc:creator><![CDATA[Will Allen]]></dc:creator>
		<pubDate>Thu, 15 Jan 2026 14:00:00 +0000</pubDate>
				<category><![CDATA[Acquisitions]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[Developer Platform]]></category>
		<category><![CDATA[generative AI]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b61509c1dba4404641db3bc50f94f98e</guid>

					<description><![CDATA[Cloudflare acquires Human Native, an AI data marketplace specialising in transforming content into searchable and useful data, to accelerate work building new economic models for the Internet.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Announcing support for GROUP BY, SUM, and other aggregation queries in R2 SQL</title>
		<link>https://noise.getoto.net/2025/12/18/announcing-support-for-group-by-sum-and-other-aggregation-queries-in-r2-sql/</link>
		
		<dc:creator><![CDATA[Jérôme Schneider]]></dc:creator>
		<pubDate>Thu, 18 Dec 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Edge Computing]]></category>
		<category><![CDATA[R2]]></category>
		<category><![CDATA[Rust]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[sql]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d3df401b3539410df0722b63d5229c70</guid>

					<description><![CDATA[Cloudflare’s R2 SQL, a distributed query engine, now supports aggregations. Explore how we built distributed GROUP BY execution, using scatter-gather and shuffling strategies to run analytics directly over your R2 Data Catalog.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>A Decade of Defense: Celebrating Grab&#8217;s 10th Year Bug Bounty Program</title>
		<link>https://noise.getoto.net/2025/12/01/a-decade-of-defense-celebrating-grabs-10th-year-bug-bounty-program/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Mon, 01 Dec 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Performance]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/a-decade-of-defense</guid>

					<description><![CDATA[Introduction

Ten years ago, we launched our bug bounty program in partnership with HackerOne. Beyond a security initiative, it represented an open invitation to collaborative development.
As pioneers in Southeast Asia, we began the program with 23 ini...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Real-time data quality monitoring: Kafka stream contracts with syntactic and semantic test</title>
		<link>https://noise.getoto.net/2025/11/26/real-time-data-quality-monitoring-kafka-stream-contracts-with-syntactic-and-semantic-test/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Wed, 26 Nov 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Data processing]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[kafka]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[Real-time streaming]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/real-time-data-quality-monitoring</guid>

					<description><![CDATA[Introduction

In today’s data-driven landscape, monitoring data quality has become a critical need for ensuring reliable and efficient data usage across domains. High-quality data is the backbone of AI innovation, driving efficiency and unlocking new o...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>SpellVault’s evolution: Beyond LLM apps, towards the agentic future</title>
		<link>https://noise.getoto.net/2025/11/21/spellvaults-evolution-beyond-llm-apps-towards-the-agentic-future/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Fri, 21 Nov 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Performance]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/spellvault-evolution-beyond-llm</guid>

					<description><![CDATA[Introduction

At Grab, innovation isn’t just about building new features; it’s about evolving our platforms to meet the changing needs of our users and the broader technological landscape. SpellVault, our internal AI platform, exemplifies this philosop...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>How We Built a Custom Vision LLM to Improve Document Processing at Grab</title>
		<link>https://noise.getoto.net/2025/11/04/how-we-built-a-custom-vision-llm-to-improve-document-processing-at-grab/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Tue, 04 Nov 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Performance]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/custom-vision-llm-at-grab</guid>

					<description><![CDATA[Introduction

In the world of digital services, accurate extraction of information from user-submitted documents such as identification (ID) cards, driver’s licenses, and registration certificates is a critical first step for processes like electronic ...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Machine-learning predictive autoscaling for Flink</title>
		<link>https://noise.getoto.net/2025/10/30/machine-learning-predictive-autoscaling-for-flink/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 30 Oct 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Performance]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/ml-predictive-autoscaling-for-flink</guid>

					<description><![CDATA[Introduction

As Grab transitions to derive more valuable insights from our wealth of operational data, we are witnessing a steep increase in stream-processing applications. Over the past year, the number of Flink applications grew 2.5 times, driven by...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Modernising Grab’s model serving platform with NVIDIA Triton Inference Server</title>
		<link>https://noise.getoto.net/2025/10/21/modernising-grabs-model-serving-platform-with-nvidia-triton-inference-server/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Tue, 21 Oct 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Performance]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/modernising-grab-model-serving-platform</guid>

					<description><![CDATA[Introduction

Catwalk is Grab’s machine learning (ML) model serving platform, designed to enable data scientists and engineers in deploying production-ready inference APIs. Currently, Catwalk powers hundreds of ML models and online deployments. To acco...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>100X Faster: How We Supercharged Netflix Maestro’s Workflow Engine</title>
		<link>https://noise.getoto.net/2025/09/29/100x-faster-how-we-supercharged-netflix-maestros-workflow-engine/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 29 Sep 2025 16:10:40 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[distributed-systems]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Orchestration]]></category>
		<category><![CDATA[workflow]]></category>
		<guid isPermaLink="false">https://medium.com/p/028e9637f041</guid>

					<description><![CDATA[By Jun He, Yingyi Zhang, Ely SpearsTL;DRWe recently upgraded the Maestro engine to go beyond scalability and improved its performance by 100X! The overall overhead is reduced from seconds to milliseconds. We have updated the Maestro open source project...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>R2 SQL: a deep dive into our new distributed query engine</title>
		<link>https://noise.getoto.net/2025/09/25/r2-sql-a-deep-dive-into-our-new-distributed-query-engine/</link>
		
		<dc:creator><![CDATA[Yevgen Safronov]]></dc:creator>
		<pubDate>Thu, 25 Sep 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[Birthday Week]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[deep dive]]></category>
		<category><![CDATA[Edge Computing]]></category>
		<category><![CDATA[R2]]></category>
		<category><![CDATA[Rust]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[sql]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ab1627715b21eef517b35ab98c180785</guid>

					<description><![CDATA[R2 SQL provides a built-in, serverless way to run ad-hoc analytic queries against your R2 Data Catalog. This post dives deep under the Iceberg into how we built this distributed engine.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Powering Partner Gateway metrics with Apache Pinot</title>
		<link>https://noise.getoto.net/2025/09/23/powering-partner-gateway-metrics-with-apache-pinot/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Tue, 23 Sep 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[Apache]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Engineering]]></category>
		<guid isPermaLink="false">https://engineering.grab.com/pinot-partnergateway-tech-blog</guid>

					<description><![CDATA[Introduction

Grab operates as a dynamic ecosystem involving partners and various service providers, necessitating real-time intelligence and decision-making for seamless integration and service delivery. To facilitate this, GrabDeveloper serves as Gra...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
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