<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>question Re: Nifi : is it possible to access /fetch MS access file using nifi ? in Archives of Support Questions (Read Only)</title>
    <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/Nifi-is-it-possible-to-access-fetch-MS-access-file-using/m-p/229969#M72752</link>
    <description>&lt;P&gt;There is no native processor to open access databases files.  &lt;/P&gt;&lt;P&gt;You can handle it a couple ways...  Easiest would be to export the data from access into csv and ingest that.  &lt;/P&gt;&lt;P&gt;The other method would be to connect to the server running MS Access via JDBC.  However, I believe this would require a 3rd party driver, as Microsoft only has ODBC drivers for Access (but this may no longer be the case)&lt;/P&gt;</description>
    <pubDate>Wed, 20 Dec 2017 04:14:55 GMT</pubDate>
    <dc:creator>bhopp</dc:creator>
    <dc:date>2017-12-20T04:14:55Z</dc:date>
    <item>
      <title>Nifi : is it possible to access /fetch MS access file using nifi ?</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/Nifi-is-it-possible-to-access-fetch-MS-access-file-using/m-p/229968#M72751</link>
      <description>&lt;P&gt;Hi , Let we have 3 server Server-A window server(MS access file placed in D drive) , Server-B( nifi installed on this server ) , Server-C Hadoop Installed on server
Question :
we want to transfer /Fetch file access file from server-A to FTP server-C and put into the hadoop using nifi 
is it possible  ?
how ? &lt;/P&gt;&lt;P&gt;Is there any nifi processor available for Reading / Writing MS access file ?&lt;/P&gt;&lt;P&gt;Thanks in advance&lt;/P&gt;</description>
      <pubDate>Tue, 19 Dec 2017 17:21:27 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/Nifi-is-it-possible-to-access-fetch-MS-access-file-using/m-p/229968#M72751</guid>
      <dc:creator>paresh_baldaniy</dc:creator>
      <dc:date>2017-12-19T17:21:27Z</dc:date>
    </item>
    <item>
      <title>Re: Nifi : is it possible to access /fetch MS access file using nifi ?</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/Nifi-is-it-possible-to-access-fetch-MS-access-file-using/m-p/229969#M72752</link>
      <description>&lt;P&gt;There is no native processor to open access databases files.  &lt;/P&gt;&lt;P&gt;You can handle it a couple ways...  Easiest would be to export the data from access into csv and ingest that.  &lt;/P&gt;&lt;P&gt;The other method would be to connect to the server running MS Access via JDBC.  However, I believe this would require a 3rd party driver, as Microsoft only has ODBC drivers for Access (but this may no longer be the case)&lt;/P&gt;</description>
      <pubDate>Wed, 20 Dec 2017 04:14:55 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/Nifi-is-it-possible-to-access-fetch-MS-access-file-using/m-p/229969#M72752</guid>
      <dc:creator>bhopp</dc:creator>
      <dc:date>2017-12-20T04:14:55Z</dc:date>
    </item>
    <item>
      <title>Re: Nifi : is it possible to access /fetch MS access file using nifi ?</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/Nifi-is-it-possible-to-access-fetch-MS-access-file-using/m-p/229970#M72753</link>
      <description>&lt;P&gt;&lt;A rel="user" href="https://community.cloudera.com/users/86/bhopp.html" nodeid="86"&gt;@Benjamin Hopp&lt;/A&gt; Thanks for your Reply&lt;/P&gt;</description>
      <pubDate>Wed, 20 Dec 2017 16:32:40 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/Nifi-is-it-possible-to-access-fetch-MS-access-file-using/m-p/229970#M72753</guid>
      <dc:creator>paresh_baldaniy</dc:creator>
      <dc:date>2017-12-20T16:32:40Z</dc:date>
    </item>
  </channel>
</rss>

