🚀 Say hello to smarter data management with Index Lifecycle Management (ILM) in Elasticsearch! 💡 ILM automates the complex process of managing your indices through various stages—hot, warm, cold, and delete—tailored to your specific needs. 🌐 This game-changer not only boosts performance and ensures compliance but also optimizes storage resources, cutting down on costs. 📊 Ready to revolutionize your data management? #Elasticsearch #DataManagement #TechInnovation #ILM #StorageOptimization #BigData #MachineLearning #CloudComputing #DataScience
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Check out the enhanced log processing capabilities in GreptimeDB v0.9. #DataInfrastructure #UnifiedDatabase #LogProcessing #Observability
Our latest release, #GreptimeDB v0.9, introduces major upgrades for streamlined log processing. With a new Pipeline engine, you can now parse logs into structured data more efficiently, making storage and querying faster and more precise. Want a closer look at the architecture? This article dives deep into how the Pipeline engine enables automated log data transformation and sharp, accurate querying. Explore the details here: https://lnkd.in/gzXNZZuX #DataInfrastructure #UnifiedDatabase #LogProcessing #Observability
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Dive deep into the intricate world of data management, where key concepts await exploration. Discover the nuances between OLTP and OLAP systems, uncovering their roles in processing real-time transactions and enabling intricate analytics. Traverse the vast landscape of data lakes and warehouses, vital hubs storing structured and unstructured data, each tailored to modern data architectures. Venture further into the realm of data governance, a crucial framework ensuring data integrity, security, and compliance. Explore the concept of lineage, tracking data origins and transformations to uphold transparency and trust across its lifecycle. Then, analyze the evolution of data integration methodologies, juxtaposing the traditional ETL approach with the emerging ELT paradigm. Uncover their distinct advantages in today's data-driven ecosystems. This thorough exploration promises to shed light on the foundational pillars driving efficient data management practices, fostering informed decision-making in our digital era. Cc : IYKRA #DataManagement #OLTP #OLAP #DataLakes #DataWarehouses #DataGovernance #DataLineage #ETL #ELT #TechTrends
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Metadata might seem small, but it’s the backbone of effective data governance! 📂 🔍 What is Metadata? It’s data about data—information that provides context, like source, structure, and usage. 📌 Why is Metadata Management Crucial? 1️⃣ Ensures data consistency across platforms. 2️⃣ Simplifies data lineage tracking for audits. 3️⃣ Boosts data discoverability for analysts and engineers. 4️⃣ Reduces risks in compliance and regulatory reporting. 🛠️ Tools to Consider: Collibra Alation Apache Atlas 💡 Pro Tip: Incorporate metadata standards early in your data governance strategy to prevent silos and confusion later. 💬 How do you manage metadata in your organization? Share your best practices below! #Metadata #DataGovernance #DataManagement
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Unifying Data Workloads with the Data Lakehouse Architecture🏞️ The creation of the data lakehouse arose from the necessity for a single, adaptable, high-performance system capable of accommodating data, analytics, and machine learning workloads. In response to the constraints of traditional data warehouses and data lakes, the data lakehouse architecture aims to amalgamate structured and unstructured data within a singular system. This unified system supports diverse data applications, including SQL analytics, real-time monitoring, and data science initiatives. By merging the data science focus of the data lake with the end-user analytics of the data warehouse, organizations can effectively manage data in an open environment and integrate all types of data from across the enterprise. #DataLakehouse #UnifiedData 🌟
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Our latest release, #GreptimeDB v0.9, introduces major upgrades for streamlined log processing. With a new Pipeline engine, you can now parse logs into structured data more efficiently, making storage and querying faster and more precise. Want a closer look at the architecture? This article dives deep into how the Pipeline engine enables automated log data transformation and sharp, accurate querying. Explore the details here: https://lnkd.in/gzXNZZuX #DataInfrastructure #UnifiedDatabase #LogProcessing #Observability
Unleashing High-Performance Structured Log Engine — How we Design and implement GreptimeDB Pipeline
greptime.com
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⚡ NEW Blog from Hyejin Yoon: Understanding #DataHub’s Ingestion Transformers: A Flexible Approach to #Metadata Customization 🚀 "𝘐𝘯𝘨𝘦𝘴𝘵𝘪𝘰𝘯 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘦𝘳𝘴 𝘢𝘭𝘭𝘰𝘸 𝘺𝘰𝘶 𝘵𝘰 𝘮𝘰𝘥𝘪𝘧𝘺 𝘮𝘦𝘵𝘢𝘥𝘢𝘵𝘢 𝘢𝘴 𝘪𝘵 𝘮𝘰𝘷𝘦𝘴 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘵𝘩𝘦 𝘥𝘢𝘵𝘢 𝘪𝘯𝘨𝘦𝘴𝘵𝘪𝘰𝘯 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦 𝘪𝘯 𝘋𝘢𝘵𝘢𝘏𝘶𝘣."
Understanding DataHub’s Ingestion Transformers: A Flexible Approach to Metadata Customization
blog.datahubproject.io
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Delta Lake’s Change Data Feed (CDF) revolutionizes data handling by efficiently capturing all inserts, updates, and deletes in Delta tables. Seamlessly can be integrated with the Medallion architecture, it ensures synchronization across Bronze, Silver, and Gold layers with the latest changes. With CDF, real-time access to fresh data is enabled, optimizing data pipelines and ensuring accurate analytics. By processing only changes, it simplifies architecture, reducing overhead and enhancing performance. Here are some insightful blogs that provide intuitive explanations of CDC, CDF, and offer practical hands-on experience with CDF: 🔗 https://lnkd.in/dPeUkVt2 🔗 https://lnkd.in/dHx3JPDJ 🔗 https://lnkd.in/d6fNN6a7 #DeltaLake #ChangeDataFeed #CDC
Simplifying Change Data Capture with Databricks Delta
databricks.com
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*Unleash the Power of Time Series Data with Canary Historian* Transform your data management with the latest Canary Historian Version 24.1—purpose-built for peak performance. Key Features: Optimized NoSQL Database for fast read/write operations 🔹 Supports 2 Million Tags on a Single Server—scale effortlessly 🔹 Lightning-Fast Data Access with speeds of up to 2.5M updates/sec 🔹 Efficient, Loss-less Compression saves storage while maintaining data integrity 🔹 Consistent Performance that stands the test of time Ready to revolutionize your data strategy? Experience unparalleled speed, scalability, and reliability with Canary! #TimeSeriesData #DataHistorian #IndustrialIoT #NoSQLDatabase #CanaryHistorian #DataManagement #Scalability #EfficientStorage Contat us: tanvi.dedhia@advancetech.in 🌐www.invansystech.com
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Transform your time series data with the power-packed Canary Historian Version 24.1 🔹 Purpose-built NoSQL database for optimized performance 🔹 Handles up to 2 Million Tags on a single server 🔹 Lightning-fast data access with 2.5M updates/sec 🔹 Efficient, loss-less compression for smart storage 🔹 Consistent performance for real-time insights #Repost #TimeSeriesData #CanaryHistorian #DataOptimization #IndustrialIoT #Scalability #DataPerformance #DataAnalytics
*Unleash the Power of Time Series Data with Canary Historian* Transform your data management with the latest Canary Historian Version 24.1—purpose-built for peak performance. Key Features: Optimized NoSQL Database for fast read/write operations 🔹 Supports 2 Million Tags on a Single Server—scale effortlessly 🔹 Lightning-Fast Data Access with speeds of up to 2.5M updates/sec 🔹 Efficient, Loss-less Compression saves storage while maintaining data integrity 🔹 Consistent Performance that stands the test of time Ready to revolutionize your data strategy? Experience unparalleled speed, scalability, and reliability with Canary! #TimeSeriesData #DataHistorian #IndustrialIoT #NoSQLDatabase #CanaryHistorian #DataManagement #Scalability #EfficientStorage Contat us: tanvi.dedhia@advancetech.in 🌐www.invansystech.com
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🚀 Simplifying Metadata Management with DataHub Ingestion Transformers 🚀 Metadata management can be overwhelming, especially with growing data sources. DataHub’s ingestion transformers make it easier by allowing you to customize metadata (tags, ownership, paths) without altering code. From adding tags to datasets or customizing browse paths, these transformers offer flexibility and control. Whether you’re managing large data pipelines or refining metadata at scale, DataHub transforms complexity into simplicity! Curious about making your metadata management more efficient? Check out the blog for real use cases and tips! #DataHub #MetadataManagement #DataTransformation
⚡ NEW Blog from Hyejin Yoon: Understanding #DataHub’s Ingestion Transformers: A Flexible Approach to #Metadata Customization 🚀 "𝘐𝘯𝘨𝘦𝘴𝘵𝘪𝘰𝘯 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘦𝘳𝘴 𝘢𝘭𝘭𝘰𝘸 𝘺𝘰𝘶 𝘵𝘰 𝘮𝘰𝘥𝘪𝘧𝘺 𝘮𝘦𝘵𝘢𝘥𝘢𝘵𝘢 𝘢𝘴 𝘪𝘵 𝘮𝘰𝘷𝘦𝘴 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘵𝘩𝘦 𝘥𝘢𝘵𝘢 𝘪𝘯𝘨𝘦𝘴𝘵𝘪𝘰𝘯 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦 𝘪𝘯 𝘋𝘢𝘵𝘢𝘏𝘶𝘣."
Understanding DataHub’s Ingestion Transformers: A Flexible Approach to Metadata Customization
blog.datahubproject.io
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