StarRocks’ Post

🌟 Unity Catalog breaks barriers with seamless interoperability across data formats and compute engines, opening the door to a more flexible and open data architecture. Our latest blog breaks down its impacts and why there’s never been a better time to embrace a more open approach to your infrastructure. https://lnkd.in/g2q-g9iN #DataAnalytics #DataEngineering #DataLakeAnalytics #DataLake #DataLakeHouse

If you missed QuestDB at the Data Council's conference in Austin, check out Adam talking about the inner workings of #QuestDB, its speed, and its efficiency with examples of #SQL queries. #opensource #timeseries #database

Our very own Adam Cimarosti flew to Austin for a talk about #QuestDB at Data Council's annual conference about #Data and #AI. He delves into the internals of QuestDB and what makes it so fast and efficient with time-series data. Some examples with #SQL queries are briefly explored before the final section that lays out our vision for QuestDB: 💡 On the way in, stream time series data from the source or #Kafka in real-time. On the way out, produce #Parquet files, which can be deposited on object stores such as #AWS S3 for infinite scale. 🔥 After that, querying parquet files directly from QuestDB becomes a reality. Bypassing QuestDB entirely and depositing parquet on S3 will also be possible, with the option to leverage the QuestDB engine to query this data in open format. In short, QuestDB's #database is moving away from proprietary formats and monoliths ⚡ Thank you Pete Soderling for the invite, it was a blast! https://lnkd.in/ebSbSqNV

Your data is the key when it comes to getting the most out of (Gen)AI. Learn how Dell, Starburst and NVIDIA are working together to revolutionize data management with their open lakehouse architecture. Make sure you're getting the right data into #GenAI. #TalkingTechwithTravis https://dell.to/4d3PG3i #iwork4dell

An Architecture for Fast and General Data Processing on Large Clusters https://bit.ly/440NCnR proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Early cluster computing systems handled batch processing. Our architecture also enables streaming and interactive queries, while keeping scalability and fault tolerance. Author/Editor: Matei Zaharia, MIT and Databricks #dataprocessing #largeclusters #clustercomputing #computerarchitecture #streaming #interactive #Queries #Scalability #FaultTolerance ACM, Association for Computing Machinery

In the realm of modern data storage, GridFS reigns supreme, offering unparalleled scalability and resilience. From breaking barriers to optimizing performance, GridFS empowers organizations to navigate the complexities of storing and accessing large volumes of data with ease. As we embrace the era of distributed architectures, GridFS stands as a testament to innovation and adaptability, guiding us into the boundless expanse of the digital age. With GridFS unleashed, the journey into the future of data storage knows no limits. #mongodb #nosql #sql #genai #ai #database #developer #llm #RAG #architect #vector #search #mongodbatlas

Don't miss Yugabyte co-founder and co-CEO Karthik Ranganathan discussing architectural enhancements in the latest release of YugabyteDB, the benefits and risks CTOs should consider, future database architectures, and more, in his new interview with CIO Influence.💡 https://hubs.la/Q02ZHt6k0 #YugabyteDB #CTO #CIO #cloudnative #AI #distributedsql

The VAST Data Platform is changing the game in the storage world. With its revolutionary architecture, say goodbye to spinning disks and storage tiers. VAST Data introduces a Disaggregated, Shared-Everything architecture that scales linearly to exabyte proportions, making limitless possibilities a reality. Plus, their Element Store unifies structured and unstructured data, abstracting data from protocols for seamless writing and reading across different protocols. With system resilience, universal access, and AI-powered features. #AI #bigdata #storage IES Engineering Private Limited https://lnkd.in/dF8Pud5e

🚀 Excited to share my latest project: Building a machine learning pipeline with Airflow to forecast time-series data using ARIMA models! In this project, I've designed a robust pipeline in Airflow that reads datasets from an S3 bucket, trains ARIMA models to make accurate predictions, and stores the trained models back in the S3 for easy access and scalability. Check out my detailed blog post where I dive deep into the technical aspects of this project and share insights into the challenges and solutions: https://lnkd.in/gdVbtvkS #AirFlow #DataEngineering #DataPipeline #MachineLearning #DataScience #ARIMA #S3 #TimeSeriesForecasting #MachineLearningPipeline #MLOps