https://insideainews.com/tag/data-engineering/ Illuminating AI's Frontiers: Your Go-To News Destination. Fri, 12 Apr 2024 00:08:59 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/data-engineering/ 32 32 136462205 https://insideainews.com/2024/04/15/why-accelerating-data-engineering-across-public-clouds-and-private-data-centers-is-a-game-changer/ https://insideainews.com/2024/04/15/why-accelerating-data-engineering-across-public-clouds-and-private-data-centers-is-a-game-changer/#respond Mon, 15 Apr 2024 10:00:00 +0000 https://insidebigdata.com/?p=35143 In this contributed article, Rob Gibbon, Product Manager at Canonical, suggests that data engineers typically know what they need to get done. The problem is that their environment doesn't always make it easy. If you're working on premise, it can be hard to get data-intensive solutions off the ground quickly. However, cloud solutions come with lock-in and unpredictable pricing. The game-changer in this scenario is a hybrid solution that will allow you to accelerate data engineering.]]> https://insideainews.com/2024/04/15/why-accelerating-data-engineering-across-public-clouds-and-private-data-centers-is-a-game-changer/feed/ 0 35143 https://insideainews.com/2023/12/16/lightning-ai-introduces-lightning-ai-studios-its-enterprise-grade-platform-for-rapid-prototyping-and-deploying-ai-products/ https://insideainews.com/2023/12/16/lightning-ai-introduces-lightning-ai-studios-its-enterprise-grade-platform-for-rapid-prototyping-and-deploying-ai-products/#respond Sat, 16 Dec 2023 11:00:00 +0000 https://insidebigdata.com/?p=34211 Lightning AI, the company behind PyTorch Lightning, with over 91 million downloads, announced the introduction of Lightning AI Studios, the culmination of 3 years of research into the next generation development paradigm for the age of AI.]]> https://insideainews.com/2023/12/16/lightning-ai-introduces-lightning-ai-studios-its-enterprise-grade-platform-for-rapid-prototyping-and-deploying-ai-products/feed/ 0 34211 https://insideainews.com/2023/08/22/data-observability-essential-for-your-modern-data-stack/ https://insideainews.com/2023/08/22/data-observability-essential-for-your-modern-data-stack/#respond Tue, 22 Aug 2023 11:00:00 +0000 https://insidebigdata.com/?p=33187 In this contributed article, Mayank Mehra, head of product management at Modak, shares the importance of incorporating effective data observability practices to equip data and analytics leaders with essential insights into the health of their data stacks. Mayank also explains why this is becoming increasingly paramount, given the current trend towards modern, complex, and distributed data infrastructures.]]> https://insideainews.com/2023/08/22/data-observability-essential-for-your-modern-data-stack/feed/ 0 33187 https://insideainews.com/2023/06/14/largest-data-engineering-survey-reports-on-adoption-of-modern-data-stack-tools/ https://insideainews.com/2023/06/14/largest-data-engineering-survey-reports-on-adoption-of-modern-data-stack-tools/#respond Wed, 14 Jun 2023 13:01:00 +0000 https://insidebigdata.com/?p=32641 Airbyte, creators of a fast-growing open-source data integration platform, made available results of the biggest data engineering survey in the market which provides insights into the latest trends, tools, and practices in data engineering – especially adoption of tools in the modern data stack. Its first worldwide State of Data survey displays results in an interactive format so that anyone can drill further into the information using filters to see, for example, adoption patterns by organization size.]]> https://insideainews.com/2023/06/14/largest-data-engineering-survey-reports-on-adoption-of-modern-data-stack-tools/feed/ 0 32641 https://insideainews.com/2022/09/13/how-to-optimize-the-modern-data-stack-with-enterprise-data-observability/ https://insideainews.com/2022/09/13/how-to-optimize-the-modern-data-stack-with-enterprise-data-observability/#respond Tue, 13 Sep 2022 13:00:00 +0000 https://insidebigdata.com/?p=30303 In this sponsored post, our friends over at Acceldata examine how in their attempt to overcome various challenges and optimize for data success, organizations across all stages of the data journey are turning to data observability where they can get a continuous, comprehensive, and multidimensional view into all enterprise data activity. It’s a critical aspect of optimizing the modern data stack, as we’ll see. ]]> https://insideainews.com/2022/09/13/how-to-optimize-the-modern-data-stack-with-enterprise-data-observability/feed/ 0 30303 https://insideainews.com/2022/06/28/what-is-data-reliability-engineering/ https://insideainews.com/2022/06/28/what-is-data-reliability-engineering/#respond Tue, 28 Jun 2022 13:00:00 +0000 https://insidebigdata.com/?p=29701 In this contributed article, Kyle Kirwan, CEO and co-founder of Bigeye, discusses Data Reliability Engineering (DRE), the work done to keep data pipelines delivering fresh and high-quality input data to the users and applications that depend on them. The goal of DRE is to allow for iteration on data infrastructure, the logical data model, etc. as quickly as possible, while—and this is the key part! —still guaranteeing that the data is usable for the applications that depend on it. ]]> https://insideainews.com/2022/06/28/what-is-data-reliability-engineering/feed/ 0 29701 https://insideainews.com/2022/03/21/the-powerful-combination-of-cloud-data-engineering-and-analytics-automation/ https://insideainews.com/2022/03/21/the-powerful-combination-of-cloud-data-engineering-and-analytics-automation/#respond Mon, 21 Mar 2022 13:00:00 +0000 https://insidebigdata.com/?p=28748 In this sponsored post, our friends over at Trifacta discuss how unlocking the value from data – whether it is in the cloud or on premises – remains out of reach to many. According to an Alteryx-commissioned survey by YouGov, only 12% of workers reported having the benefit of driving business-changing outcomes through self-service analytics. ]]> https://insideainews.com/2022/03/21/the-powerful-combination-of-cloud-data-engineering-and-analytics-automation/feed/ 0 28748 https://insideainews.com/2022/01/31/best-practices-in-data-engineering-brush-up-your-skills-and-tidy-your-data-with-diy-data/ https://insideainews.com/2022/01/31/best-practices-in-data-engineering-brush-up-your-skills-and-tidy-your-data-with-diy-data/#respond Mon, 31 Jan 2022 14:00:00 +0000 https://insidebigdata.com/?p=28329 [SPONSORED POST] Trifacta introduces “DIY Data” – a unique webcast series that presents practical aspects of data engineering through hands-on demonstrations.  The series is all about being hands-on with Trifacta through 30-min byte size live and interactive episodes.]]> https://insideainews.com/2022/01/31/best-practices-in-data-engineering-brush-up-your-skills-and-tidy-your-data-with-diy-data/feed/ 0 28329 https://insideainews.com/2021/11/18/2022-state-of-data-engineering-emerging-challenges-with-data-security-quality/ https://insideainews.com/2021/11/18/2022-state-of-data-engineering-emerging-challenges-with-data-security-quality/#respond Thu, 18 Nov 2021 14:00:00 +0000 https://insidebigdata.com/?p=27655 The 2022 Data Engineering Survey, from our friends over at Immuta, examined the changing landscape of data engineering and operations challenges, tools, and opportunities. The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures.]]> https://insideainews.com/2021/11/18/2022-state-of-data-engineering-emerging-challenges-with-data-security-quality/feed/ 0 27655 https://insideainews.com/white-paper/2022-state-of-data-engineering-emerging-challenges-with-data-security-quality/ https://insideainews.com/white-paper/2022-state-of-data-engineering-emerging-challenges-with-data-security-quality/#respond Mon, 15 Nov 2021 18:48:01 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=27652 The 2022 Data Engineering Survey, from our friends over at Immuta, examined the changing landscape of data engineering and operations challenges, tools, and opportunities. The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures.]]> 0 27652