LEADER 05264nam 22006615 450 001 9910896524003321 005 20241013125733.0 010 $a979-88-6880-444-1 024 7 $a10.1007/979-8-8688-0444-1 035 $a(MiAaPQ)EBC31725911 035 $a(Au-PeEL)EBL31725911 035 $a(CKB)36344180100041 035 $a(DE-He213)979-8-8688-0444-1 035 $a(EXLCZ)9936344180100041 100 $a20241013d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDatabricks Data Intelligence Platform $eUnlocking the GenAI Revolution /$fby Nikhil Gupta, Jason Yip 205 $a1st ed. 2024. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2024. 215 $a1 online resource (481 pages) 311 $a979-88-6880-443-4 327 $a1. Introduction -- 2. Lakehouse Platform -- 3. Databricks Platform Overview -- 4. Data Ingestion and Real-Time Analytics -- 5. Delta Lake: Deep Dive -- 6. Data Governance with Unity Catalog -- 7. Data Engineering and Analytics -- 8. Data Science, Machine Learning, and AI -- 9. Building GenAI Applications on Databricks Platform -- 10. Data Warehousing with DBSQL -- 11. Data Intelligence Platform -- 12. CI/CD and Application Development -- 13. Databricks Pricing and Observability using System Tables -- 14. Platform Security and Compliance -- 15. Advanced Topics and Industry Applications -- 16. Streaming Applications and HA/DR -- 17. Databricks in the Cloud Ecosystem -- 18. Conclusion. 330 $aThis book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises. Whether you are new to Databricks and trying to learn a new platform, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will Learn Foundational principles of Lakehouse architecture Key features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live Tables Databricks Intelligence Platform and key functionalities Building and deploying GenAI Applications from data ingestion to model serving Databricks pricing, platform security, DBRX, and many more topics . 606 $aQuantitative research 606 $aDatabase management 606 $aMachine learning 606 $aElectronic data processing$xManagement 606 $aSampling (Statistics) 606 $aData Analysis and Big Data 606 $aDatabase Management 606 $aMachine Learning 606 $aIT Operations 606 $aMethodology of Data Collection and Processing 615 0$aQuantitative research. 615 0$aDatabase management. 615 0$aMachine learning. 615 0$aElectronic data processing$xManagement. 615 0$aSampling (Statistics). 615 14$aData Analysis and Big Data. 615 24$aDatabase Management. 615 24$aMachine Learning. 615 24$aIT Operations. 615 24$aMethodology of Data Collection and Processing. 676 $a001.422 676 $a005.7 700 $aGupta$b Nikhil$01064960 701 $aYip$b Jason$01382108 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910896524003321 996 $aDatabricks Data Intelligence Platform$94210933 997 $aUNINA