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<div style="display: none; max-height: 0px; overflow: hidden;">ClickHouse enables sub-200ms queries across billions of records by combining columnar storage, advanced compression, and vectorized execution </div>
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<h1><strong>TLDR Data <span id="date">2025-09-08</span></strong></h1>
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<strong>Last chance to join: See how Pinterest, Coinbase, and Demandbase build with Iceberg + StarRocks (Sponsor)</strong>
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<strong>How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows (6 minute read)</strong>
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Identify and address five common pandas performance bottlenecks: slow CSV loading can be alleviated with PyArrow or GPU acceleration via cuDF; large merges can be optimized with indexed joins and also benefit from GPU processing; and high-memory string columns may be converted to categorical types to reduce RAM usage. Utilizing GPU resources, such as in Google Colab, can significantly enhance performance without altering existing code.
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<strong>The Pedantic Layer (3 minute read)</strong>
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The data industry is fixated on definitions and semantics, which often hinders practical advancements. Data leaders need to focus on the value and outcomes derived from data, rather than getting bogged down in debates about categorization, especially as AI blurs the lines between structured and unstructured data. Data professionals must prioritize extracting meaningful insights and improving decision-making over pedantic discussions.
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The Medallion Architecture simplifies team collaboration with a clear, shared framework, enabling startups and enterprises to build scalable, trustworthy data systems. Its Platinum layer evolves the model beyond batch processing, supporting real-time analytics and data-driven products for both business and operational intelligence.
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Widespread adoption of GenAI is shifting organizational structures, reducing traditional entry-level roles and automating foundational cognitive tasks. Research shows 71% of employees expect new hires to focus on output review, not creation. This undermines experiential learning critical for managerial progression, introduces risks of cognitive atrophy, and challenges knowledge transfer. Avoiding human “atrophy” requires balanced investment in staff capabilities (data literacy, critical thinking, evaluation, and judgment) across three stages: before the prompt, after the answer, and at the point of action.
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<strong>The strategic guide to consent & preferences in 2025 (Sponsor)</strong>
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Shifting global regulations - including the GDPR, CPRA, and new TCPA updates, are reshaping consent and cookie requirements. With the right strategy, this doesn't have to be a bottleneck. Discover <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.onetrust.com%2Fresources%2Ftldr-csyn%2Fthe-strategic-guide-to-consent-and-preferences-ebook%2F%3Futm_medium=newsletter%26utm_source=tldr-data%26utm_campaign=20250908/2/0100019928cc140f-e55752e5-23f8-4070-9edf-5e46320f0fc2-000000/PQSr2G0ThVQHI8eQo8AvB7sUkvITQpwQj12D9cV1EQI=421" rel="noopener noreferrer nofollow" target="_blank"><span>practical steps you can take</span></a> to build an integrated, future-ready consent infrastructure that supports business growth and regulatory agility. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.onetrust.com%2Fresources%2Ftldr-csyn%2Fthe-strategic-guide-to-consent-and-preferences-ebook%2F%3Futm_medium=newsletter%26utm_source=tldr-data%26utm_campaign=20250908/3/0100019928cc140f-e55752e5-23f8-4070-9edf-5e46320f0fc2-000000/jl5qToP1eeRucf3zAsZzvsCy_T5ir6UtZJcMux4mJ1o=421" rel="noopener noreferrer nofollow" target="_blank"><span>Get the OneTrust guide</span></a>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.postgresql.org%2Fabout%2Fnews%2Fpostgresql-18-rc-1-released-3130%2F%3Futm_source=tldrdata/1/0100019928cc140f-e55752e5-23f8-4070-9edf-5e46320f0fc2-000000/kkULloFySefMvgIchIfI5YRHGHDM7C-RHSkiQzs1vXs=421">
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<strong>PostgreSQL 18 RC1 Released (5 minute read)</strong>
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PostgreSQL 18 delivers major improvements in performance, developer features, and security, including a new asynchronous I/O subsystem that speeds scan-heavy workloads, skip-scan support for b-tree indexes, virtual generated columns as the default, built-in UUIDv7 support, and richer EXPLAIN diagnostics. Security is also strengthened with OAuth authentication, MD5 password deprecation, TLS and cipher suite updates, and default data checksums. Upgrade tools have been enhanced with preserved planner statistics and faster pg_upgrade options. General availability is scheduled for September 25.
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<strong>Streamline Structured + Unstructured Data Flows from Postgres with AI (6 minute read)</strong>
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CocoIndex lets you build incremental data flows across both structured and unstructured sources by treating AI operations, such as embedding generation, as standard pipeline transforms alongside classic data calculations and mappings. Direct PostgreSQL integration allows ingestion, transformation (including AI-powered semantic enrichment), and export to vector-indexed tables optimized for semantic + structured search. The framework provides field lineage visualization and live pipeline monitoring.
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<strong>Introducing Apache Kafka® 4.1.0: What's New and How to Upgrade (10 minute read)</strong>
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Apache Kafka 4.1.0 adds preview support for Queues, a new Streams Rebalance Protocol, and OAuth jwt-bearer grant. It also improves metrics, error handling, partitioning, transactional filtering, and connector plugin versions.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<strong>Data Engineering Acquisitions (3 minute read)</strong>
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Companies are acquiring specialized tools to build comprehensive platforms, reducing fragmentation and improving integration for data engineers. Acquisitions like Tabular reflect a push toward open-source table formats, enabling better data interoperability across platforms.
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<strong>GPUs Never Signed Up for This AI Security Job (4 minute read)</strong>
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GPUs, originally designed for trusted, single-user environments, lack fundamental multitenancy safeguards and runtime observability critical for secure AI workloads in modern shared infrastructure. Unlike CPUs, GPUs have no built-in process isolation, memory segmentation, or granular telemetry. Their large, privileged drivers amplify the attack surface. As organizations deploy sensitive AI workloads on shared GPU clusters, assuming CPU-style security creates acute vulnerabilities and blind spots that current infrastructure is ill-equipped to monitor or mitigate.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.cybertec-postgresql.com%2Fen%2Fexploration-cnpg-kubectl-plugin%2F%3Futm_source=tldrdata/1/0100019928cc140f-e55752e5-23f8-4070-9edf-5e46320f0fc2-000000/Oqn35ht43HXoTeCUDUiJq79DbRgyn2nGfqN655Ug_vE=421">
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<strong>Exploration: CNPG Kubectl Plugin (3 minute read)</strong>
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CloudNativePG provides a Kubernetes plugin for PostgreSQL-specific commands for faster, safer database ops without pod hopping.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdebezium.io%2Fblog%2F2025%2F09%2F04%2Fdebezium-3-2-2-final-released%2F%3Futm_source=tldrdata/1/0100019928cc140f-e55752e5-23f8-4070-9edf-5e46320f0fc2-000000/pQslKmj-55ynzSKMytGRRSpagfluyG_6u9nTZNAIehQ=421">
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<strong>Debezium 3.2.2 Final Released (5 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Debezium 3.2.2 addresses 24 issues with critical enhancements, notably eliminating data loss during failed ad-hoc blocking snapshots, resolving misleading Oracle connector startup errors for more reliable upgrades, and providing more accurate JMX throughput metrics in Oracle LogMiner.
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