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人工智能与非结构化数据.pdf

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1、From Air Quality to Aircraft&Automobiles,Unstructured Data Is EverywhereTim Spann,Senior Solutions EngineerTim Spannpaasdev.bsky.social PaasDev /Blog:datainmotion.devSenior Solutions Engineer,Snowflake NY/NJ/Philly-Cloud Data+AI Meetupsex-Zilliz,ex-Pivotal,ex-Cloudera,ex-HPE,ex-StreamNative,ex-Horto

2、nworks.https:/ https:/ This week in Snowflake,Apache NiFi,Apache Flink,Apache Kafka,ML,AI,Streamlit,Jupyter,Apache Iceberg,Apache Polaris,Python,Java,LLM,GenAI,Vectors and Open Source friends.https:/bit.ly/32dAJftAI+Streaming Weekly by Tim SpannAGENDAIntroductionOverviewAIWhere,What,WhyReal-Time AI

3、Open Lakehouse 5DATA SOURCESDATA INTEGRATIONDATA PLATFORMDATA CONSUMERS Transit EventsTransit DataTraffic DataSNOWSIGHTRaw DataI Can Haz I Can Haz Data?Data?DocsUnstructuredSemi-structuredStructuredNYC DataCSVXMLXLSAWS S3BucketIoTSnowflake Cortex AIStructured,Structured,Semistructured,Semistructured

4、,UnstructuredUnstructuredDataDataWhen you think of RAG,you think of unstructured data like documents or giant chunks of text.Its more.Unstructured DataUnstructured Data Lots of formats Text,Documents,PDF Images,Videos,Audio Email,Slack,Teams Logs Binary Data Formats Zip,Archives VariantsUnstructured

5、 Open Data like Open AQ-Air Quality Data Location,Time,Sensors Apache Avro,Parquet,Orc JSON and XML Hierarchical Data Logs Key-ValueSemi-Structured DataSemi-Structured Datahttps:/ Semi-structuredStructured DataStructured Data Snowflake Tables Snowflake Hybrid Tables Apache Iceberg Tables Relational

6、Tables Postgresql Tables CSV,TSVStructuredRecord-Oriented Data with NiFiRecord-Oriented Data with NiFiReaders-Avro,CEF,CSV,Excel,Grok,Protobuf,JSON,Parquet,Scripted,Syslog-5424,Syslog,Windows Event,XML,YAMLWriters-Avro,CSV,Free From Text,JSON,Parquet,Scripted,XMLSchema registry integration for retri

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本文主要探讨了数据在不同领域中的应用,从空气质量到飞机和汽车,无结构数据无处不在。作者Tim Spann拥有丰富的行业经验,曾在Zilliz、Pivotal、Cloudera、HPE、StreamNative和Hortonworks等公司工作。文章提到了数据的不同类型,包括无结构数据、半结构数据和结构数据,并以Snowflake、Apache NiFi、Apache Flink、Apache Kafka等为例,阐述了这些技术在数据处理和实时AI开放数据湖中的应用。此外,文章还讨论了数据源、数据集成、数据平台和数据消费者的概念。最后,作者提到了一些开源工具和框架,如Apache Iceberg和Python,以及它们在数据处理和分析中的作用。
"如何利用Apache NiFi进行实时数据处理?" "如何在Snowflake中处理不同类型的数据?" "如何使用Open Source工具进行实时AI集成?"
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