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It covers table and text readers (CSV, Excel-like sources), OCR from document copies/photos via Tesseract, JSON and XML reading via JSONPath and XML Reader, and log parsing for Apache logs. It also lists image, audio, network, ASAM MDF, and SDF molecule readers, plus access patterns for local, cloud, and remote resources through connectors.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/cheat-sheet-connectors-with-knime-analytics-platform-file-data-and-web-readers-usage-guide/572942/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/cheat-sheet-connectors-with-knime-analytics-platform-file-data-and-web-readers-usage-guide/572942.png","ImageObject",442,249,{"name":88,"@type":89},"Aran","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-19","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":79},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"Which file formats can the KNIME connectors read in this cheat sheet?","Question",{"text":108,"@type":109},"It includes connectors for tabular .table formats, CSV/text files, JSON documents (full or JSONPath-selected parts), XML via the XML Reader node, Apache log files, images (PNG, SVG, and ZIP bundles), audio files, networks, ASAM MDF measurement channels, and molecules from SDF files.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How does the document describe extracting text from images?",{"text":113,"@type":109},"It uses the Tesseract OCR library to read textual data from document copies or photos.",{"name":115,"@type":106,"acceptedAnswer":116},"What web or service connectors are mentioned?",{"text":117,"@type":109},"It lists a KNIME REST Client Extension supporting HTTP GET/POST/PUT/DELETE/PATCH, a SPARQL Endpoint connector, a Memory Endpoint for in-memory semantic web queries, a Twitter Connector for fetching tweets and users or posting tweets, and web page/RSS feed retrievers.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},572942,1792338275,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":79,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":73,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":9},137455076865,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Cheat Sheet: Connectors with KNIME Analytics Platform  \n| | Reads data from a .table file. .table files are saved using a KNIME proprietary format, include the file structure, and are optimized for space and speed. Other nodes are available to read tabular formatted files, e.g., Parquet or ORC files.\u003Cbr>Reads all text files, particularly character separated files, such as CSV files. Other similar reader nodes are dedicated to reading special file formats, like Excel or CSV files.\u003Cbr>Parses textual content and metadata and extracts embedded files and attachments from more than 280 file formats. Also provides an authentication option for encrypted files.\u003Cbr>Reads textual data straight out of document copies or photos using the Tesseract OCR library.\u003Cbr>Reads either the whole JSON document or the selected part of the document, specified with a JSONPath query. The XML Reader node reads XML documents.\u003Cbr>Reads Apache log files. | | Reads PNG and SVG images, as well as ZIP files containing images, by browsing over the filesystem. Similar reader nodes read images from URLs, URIs, or Paths in the input table.\u003Cbr>Reads audio files into a data cell. It is often used together with the Audio Viewer node to play audio files.\u003Cbr>Reads and creates a network saved to a graph file with the Network Writer node.\u003Cbr>Reads networks from visone and Cytoscape.\u003Cbr>Reads the measurement data of one or more channels of an ASAM MDF file, either fully or in part.\u003Cbr>Loads molecules from MDL Structure-Data Files (SDF) . |\n| --- | --- | --- | --- |\n\n\n|  |  |\n| --- | --- |\n| \u003Cbr>FILE SYSTEMS |  |\n| Files |  |\n| Table Reader\u003Cbr>File Reader\u003Cbr>Tika Parser\u003Cbr>Tess4J\u003Cbr>JSON Reader\u003Cbr>Web Log Reader | Image Reader\u003Cbr>List Audio Files\u003Cbr>Network Reader\u003Cbr>Viz Input Connector\u003Cbr>MDF Reader\u003Cbr>SDF Reader |\n|  |  |\n| \u003Cbr>Integrations |  |\n| Python Source\u003Cbr>\u003Cbr>\u003Cbr>Python Object Reader\u003Cbr>Executes a Python script in a local\u003Cbr>R Source (Table)\u003Cbr>Python environment. Supports Python 2 and 3 and Jupyter notebooks import. Reads Python\u003Cbr>R\u003Cbr>\u003Cbr>Index Reader\u003Cbr>\u003Cbr>Reads diverse data sources from R into a KNIME table.\u003Cbr>H2O Mojo Reader\u003Cbr>\u003Cbr>\u003Cbr>SAS7BDAT Reader\u003Cbr>Reads H2O’s Generated MOJO models.\u003Cbr>Reads data\u003Cbr>pickle objects. Supports Python 2 and 3 and Jupyter notebooks import.\u003Cbr>\u003Cbr>Reads Lucene table index.\u003Cbr>\u003Cbr>from sas7bdat files.\u003Cbr>\u003Cbr>\u003Cbr>\u003Cbr>\u003Cbr>\u003Cbr>\u003Cbr>|  |\n| \u003Cbr>Cloud Storage Systems |  |\n| Dedicated Connector nodes connect to remote file systems, specify the working directory with a UNIX-like syntax, and allow downstream nodes to access the remote file system just as a local one, e.g., to read or write files and folders, browse, list files, copy, move, etc. The connection is closed when the Connector\u003Cbr>\u003Cbr>is reset the is closed\u003Cbr>node or workflow .   \u003Cbr>\u003Cbr>|  |\n| \u003Cbr>Distributed File Systems |  |\n| Dedicated Connector nodes connect toa specific distributed file system (HDFS, WebHDFS, [HTTPFS](HTTPFS), Databricks, ...), and require a limited number of settings e.g., hostname and credentials.\u003Cbr>|  |\n\n\n|  |\n| --- |\n| ACCESS |\n| Create Local Big Data Environment\u003Cbr>Create Databricks Environment\u003Cbr>Create Spark Context (Livy)\u003Cbr>Most Reader nodes can read both local and remote data. They connect to remote data sources via dynamic ports. These can be activated by clicking the three dots in the node lower left corner.\u003Cbr>Most Reader nodes have their corresponding Writer nodes. Similar to Reader nodes, most Writer nodes support writing the data directly to remote locations via dynamic ports.\u003Cbr>\u003Cbr>Reader\u003Cbr>Authentication Connector\u003Cbr>\u003Cbr>Writer\u003Cbr>\u003Cbr>|\n\n\n|  |  |  |  |\n| --- | --- | --- | --- |\n| \u003Cbr>WEB SERVICES |  |  |  |\n|  |  |  |  |\n| \u003Cbr>Services |  |  |  |\n| KNIME REST Client Extension\u003Cbr>\u003Cbr>SPARQL Endpoint\u003Cbr>\u003Cbr>\u003Cbr>Memory Endpoint\u003Cbr>\u003Cbr>\u003Cbr>Calls a REST service in the\u003Cbr>GET, POST, PUT, DELETE, or PATCH mode. Can send one single service request set in the configuration window, or multiple service requests stored in a column of the in","cbCaijhUTHvP1imM","https://ap.wps.com/l/cbCaijhUTHvP1imM","pdf",8625220,"English","# File Systems\n## Access\n# Web Services\n## Services","[{\"question\":\"Which file formats can the KNIME connectors read in this cheat sheet?\",\"answer\":\"It includes connectors for tabular .table formats, CSV/text files, JSON documents (full or JSONPath-selected parts), XML via the XML Reader node, Apache log files, images (PNG, SVG, and ZIP bundles), audio files, networks, ASAM MDF measurement channels, and molecules from SDF files.\"},{\"question\":\"How does the document describe extracting text from images?\",\"answer\":\"It uses the Tesseract OCR library to read textual data from document copies or photos.\"},{\"question\":\"What web or service connectors are mentioned?\",\"answer\":\"It lists a KNIME REST Client Extension supporting HTTP GET/POST/PUT/DELETE/PATCH, a SPARQL Endpoint connector, a Memory Endpoint for in-memory semantic web queries, a Twitter Connector for fetching tweets and users or posting tweets, and web page/RSS feed retrievers.\"}]","Cheat Sheet - Connectors with KNIME Analytics Platform - File, Data, and Web Readers - Usage Guide | PDF",1791930192]