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    Home»Big Data»Now on-demand: Knowledge + AI Summit classes for information architects, engineers, and scientists
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    Now on-demand: Knowledge + AI Summit classes for information architects, engineers, and scientists

    adminBy adminJune 25, 2024Updated:June 26, 2024No Comments10 Mins Read
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    Now on-demand: Knowledge + AI Summit classes for information architects, engineers, and scientists
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    Now on-demand: Knowledge + AI Summit classes for information architects, engineers, and scientists


    Hundreds of knowledge architects, engineers, and scientists met at Knowledge + AI Summit in San Francisco to listen to from business luminaries like Fei Fei Li and Yejin Choi, attend classes on every thing from constructing a customized LLM to getting ready for Apache Spark™ 4, discover the most recent in Databricks, and in the end learn to speed up efforts to deploy information intelligence throughout their companies. 

    Each day supplied alternatives to enhance present abilities, get launched to one thing new, and acquire the data your small business must thrive within the GenAI period.  In truth, for lots of the attendees, the problem turns into making time for all of the classes they need to attend. 

    Whether or not you missed classes in particular person or are simply now attending nearly, the good information is you could now watch all 500+ classes (and the total keynote) on-demand! Under, I’m calling out some particular classes for information architects, information engineers, and information scientists that I believe are value a watch!

    Knowledge Architect 

    At the moment, analytics and AI workloads are break up throughout too many alternative environments. It turns into unattainable for information architects to correctly handle the underlying infrastructure. It’s one motive why so many corporations want to consolidate. These classes showcase why the Lakehouse is the unified platform enterprises have to unleash information intelligence throughout their companies whereas guaranteeing the proper safety and governance all through their information panorama. 

    Delta Lake Meets DuckDB by way of Delta Kernel

    Audio system: Nick Lanham

    Over the previous few years, Delta-rs grew quickly. And now, with delta-kernel-rs, it’s even simpler for Rust and Python customers to create connections. This session will cowl methods to carry Delta help to the open supply analytical database DuckDB. It’ll talk about how the help works, the structure of the combination, and classes discovered alongside the way in which. 

    Deep Dive into Delta Lake and UniForm on Databricks

    Audio system: Joe Widen, Michelle Leon 

    It is a newbie’s information to every thing Delta Lake, a robust open-source storage layer that brings reliability, efficiency, governance, and high quality to present information lakes. This session will present an outline of Delta Lake, together with the way it’s constructed for each streaming and batch use instances, clarify the ability of Delta Lake and Unity Catalog collectively, and spotlight progressive use instances of Delta Lake throughout totally different sectors. Attendees may even find out about Delta UniForm, a device that makes it straightforward for builders to work throughout different lakehouse codecs together with Apache Iceberg and Apache Hudi. 

    Dependency Administration in Spark Join: Easy, Remoted, Highly effective

    Audio system: Hyukjin Kwon, Akhil Gudesa 

    Managing an software hosted in a distributed computing surroundings might be difficult. Guaranteeing that each one nodes have the required surroundings to execute code and figuring out the precise location of the consumer’s code are advanced duties, considerably extra so when dynamic help is required. This session will cowl how Spark Join can simplify the administration of a distributed computing surroundings. By means of sensible and complete examples, attendees will learn to create, bundle, make the most of and replace customized remoted environments guaranteeing versatile and seamless execution for each Python and Scala functions.

    Quick, Low cost, and Straightforward Knowledge Ingestion with AWS Lambda and Delta Lake

    Audio system: R. Tyler Croy

    Be a part of R Tyler Cory, one of many creators of Delta Rust, learn to work with Delta tables from AWS Lambdas. Utilizing the native Python or Rust libraries for Delta Lake, you may study to discover the transaction log, write updates, carry out desk upkeep, and even question Delta tables in milliseconds from AWS Lambda. 

    Let’s Do Some Knowledge Engineering With Rust and Delta Lake! 

    Audio system: R. Tyler Croy 

    The way forward for information engineering is trying more and more Rust-y. By adopting the foundational crates of Delta Lake, information fusion, and arrow, builders can write high-performance and low-cost ingestion pipelines, transformation jobs, and information question functions. Don’t know Rust? No drawback. You’ll assessment elementary ideas of the language as they pertain to the info engineering area with a co-creator of Delta Rust and depart with a foundation to use Rust to real-world information issues. 

    What’s Incorrect with the Medallion Structure? 

    Audio system: Simon Whiteley

    Whereas enterprises are reaping the advantages of the lakehouse structure, many have one remorse: layering their zones. Nobody actually is aware of what phrases like “silver” vs. “gold” imply. The fact is that Medallion structure could not all the time be the best choice. Utilizing real-world examples, this session will dive into when and methods to use it. 

    Knowledge Engineer

    In companies at the moment, pace is paramount. Leaders need entry to info instantly. That’s placing extra strain on the people tasked with managing and optimizing streaming ETL pipelines. These classes assist information engineers ship on the promise of real-time analytics and AI. 

    Delta Reside Tables in Depth: Greatest Practices for Clever Knowledge Pipelines

    Audio system: Michael Armbrust, Paul Lappas

    Discover ways to grasp Delta Reside Tables from one of many individuals who is aware of it finest. The unique creator of Spark SQL, Structured Streaming and Delta, Michael Armbrust will get attendees up-to-speed on what’s new with DLT and what’s coming. (Spoiler alert: Some BIG information.) 

    Efficient Lakehouse Streaming with Delta Lake and Mates

    Audio system: Scott Haines, Ashok Singamaneni

    On this session, attendees uncover the true energy of the streaming lakehouse structure, methods to obtain success at scale, and, extra importantly, why Delta Lake is the important thing to unlocking a constant information basis and empowering a “stress-free” information ecosystem.  

    Stranger Triumphs: Automating Spark Upgrades & Migrations at Netflix

    Audio system: Holden Krau, Robert Merck 

    Apache Spark™ 4 is on the horizon. So what’s concerned in upgrading to the most recent and best Spark? Find out how Netflix automated giant elements of its improve and the way you need to use the strategies to your information platform. On this session, you’ll learn to: improve your Spark pipelines with out crying and validate Spark pipelines even when you do not belief the exams. 

    Introducing the New Python Knowledge Supply API for Apache Spark™

    Audio system: Allison Wang, Ryan Nienhuis

    Historically, integrating customized information sources into Spark required understanding Scala, posing a problem for the huge Python group. Our new API simplifies this course of, permitting builders to implement customized information sources instantly in Python with out the complexities of present APIs. This session will discover the motivations and the code behind how we’ve made studying and writing operations for Python builders a lot simpler.

    Incremental Change Knowledge Seize: A Knowledge-Knowledgeable Journey

    Audio system: Christina Taylor

    Discover ways to iterate on incremental ingestion from SaaS functions, relational databases, and occasion streams right into a centralized information lake, the position of CDCs and methods to in the end streamline upkeep and enhance reliability with Delta Lake. Attendees will stroll away with a data-informed mentality to design structure that promotes long-term stewardship and developer happiness

    What’s subsequent for the upcoming Apache Spark™ 4.0

    Audio system: Xiao Li, Wenchen Fan

    The upcoming launch of Apache Spark 4.0 delivers substantial enhancements that refine the performance and increase the developer expertise with the unified analytics engine. That is your likelihood to ask the specialists what’s coming and methods to put together. 

    Knowledge Scientist

    GenAI is inescapable. Each enterprise is determining methods to develop and deploy LLMs. For these truly making AI and ML a actuality, these classes assist maintain you recent on the most recent strategies for bettering and accelerating your GenAI technique. 

    Software program 2.0: Delivery LLMs with New Information 

    Audio system: Sharon Zhou

    More and more, corporations need to take present LLMs and educate them new data to distinguish the expertise. This course of goes past simply prompting or retrieving—it additionally includes instruction-finetuning, content-finetuning, pretraining, and extra. On this session, you may find out about Lamini, an all-in-one LLM stack that makes LLMs much less choosy in regards to the information it will possibly study from, making it straightforward for LLMs to absorb billions of latest paperwork. 

    Exploring MLOps and LLMOps: Architectures and Greatest Practices

    Audio system: Joseph Bradley, Yinxi Zhang and Arpit Jasapara 

    This session affords an in depth have a look at the architectures concerned in Machine Studying Operations (MLOps) and Massive Language Mannequin Operations (LLMOps). Attendees will study in regards to the technical specifics and sensible functions of MLOps and LLMOps, together with the important thing parts and workflows that outline these fields. And so they’ll stroll away with methods for implementing efficient MLOps and LLMOps in their very own tasks. 

    Within the Trenches with DBRX: Constructing a State-of-the-Artwork Open-Supply Mannequin

    Audio system: Jonathan Frankle, Abhinav Venigalla

    Need the behind-the-scenes story on how we constructed DBRX, a cutting-edge, open-source basis mannequin educated in-house by Databricks? Hear from the individuals who constructed it in regards to the instruments, strategies, and classes discovered through the improvement course of. Attendees will get an inside have a look at what it takes to coach a high-quality LLM, hear why we selected Combination of Consultants structure, and find out how they will use the identical instruments and strategies to construct their very own customized fashions. 

    Introduction to DBRX and different Databricks Basis Fashions

    Audio system: Margaret Qian, Hagay Lupesko

    This session affords a complete introduction to DBRX and different foundational fashions obtainable on Databricks. Attendees will get sensible steerage on methods to leverage these fashions to reinforce information analytics and machine studying tasks. And so they’ll depart with a transparent understanding of methods to successfully make the most of Databricks’ foundational fashions to drive innovation and effectivity of their data-driven initiatives.

    Layered Intelligence: Generative AI Meets Classical Resolution Sciences

    Audio system: Danielle Heymann

    The session will discover how Generative AI, particularly LLMs, integrates into classical determination science methodologies. Attendees will find out how LLMs prolong past chatbots to reinforce optimization algorithms, statistical fashions, and graph analytics—respiration new life into determination sciences and advancing strategic analytics and decision-making. This layered strategy brings a brand new edge to conventional strategies, permitting for advanced problem-solving, nuanced information interplay, and improved interpretability. 

    Constructing Manufacturing RAG Over Advanced Paperwork 

    Audio system: Jerry Liu 

    RAG is a robust approach that allows enterprises to additional customise present LLMs on their very own information. Nonetheless, constructing manufacturing RAG could be very difficult, particularly as customers scale to bigger and extra advanced information sources. RAG is simply pretty much as good as your information, and builders should fastidiously contemplate methods to parse, ingest, and retrieve their information to efficiently construct RAG over advanced paperwork. This session offers an in-depth exploration of this whole course of. 

    SEA-LION: Representing the Various Languages of Southeast Asia with LLMs

    Audio system: Jeanne Choo, Ngee Chia Tai

    Southeast Asia is among the world’s most culturally numerous areas, masking international locations akin to Singapore, Vietnam, Thailand, and Indonesia. Folks converse a number of languages and draw cultural influences from China, India and the West. Find out how, working with Databricks MosaicML, the Singapore authorities constructed SEA-LION, an open-sourced giant language mannequin educated on native languages akin to Thai, Indonesian and Tamil.

    State-Of-The-Artwork Retrieval Augmented Era At Scale In Spark NLP

    Audio system: David Talby, Veysel Kocaman 

    Get a crash course in scaling and constructing RAG LLM pipelines for manufacturing. Present programs battle to effectively deal with the bounce from proof-of-concept manufacturing. This session will present methods to deal with scaling points with the open supply Spark NLP library.   

    Try all of the Knowledge + AI Summit classes and keynotes right here!

     



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