<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/fif_gadget_erp5_panel.html']//a[text()='Data Sets' and contains(@href, '#!display') and contains(@href, 'n.page=fifdata')]</td>
<td></td>
</tr>
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/fif_gadget_erp5_panel.html']//a[text()='Register' and contains(@href, '#!display') and contains(@href, 'n.page=register')]</td>
<td></td>
</tr>
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/fif_gadget_erp5_panel.html']//a[text()='Download Ebulk' and contains(@href, '#!display') and contains(@href, 'n.page=download')]</td>
<td></td>
</tr>
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/fif_gadget_erp5_panel.html']//a[text()='Contact us' and contains(@href, '#!display') and contains(@href, 'n.page=contact')]</td>
<td></td>
</tr>
<tr>
<td>assertElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/fif_gadget_erp5_panel.html']//a[text()='Logout' and contains(@href, '#!display') and contains(@href, 'n.page=logout')]</td>
<td></td>
</tr>
<!-- Check links -->
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/gadget_erp5_page_home.html']//a[@id='home_link' and contains(@href, '#!display') and contains(@href, 'p.page=home')]</td>
<td></td>
</tr>
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/gadget_erp5_page_home.html']//a[@id='download_link' and contains(@href, '#!display') and contains(@href, 'n.page=download')]</td>
<td></td>
</tr>
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/gadget_erp5_page_home.html']//a[@id='download_ebulk_link' and contains(@href, '#!display') and contains(@href, 'n.page=download')]</td>
<td></td>
</tr>
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/gadget_erp5_page_home.html']//a[@id='dataset_link' and contains(@href, '#!display') and contains(@href, 'n.page=fifdata')]</td>
<td></td>
</tr>
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/gadget_erp5_page_home.html']//a[@id='register_link' and contains(@href, '#!display') and contains(@href, 'n.page=register')]</td>
<td></td>
</tr>
<tr>
<td>waitForElementPresent</td>
<td>//div[@data-gadget-url='${base_url}/web_site_module/default_wendelin_data_lake/gadget_erp5_page_home.html']//a[@id='documentation_link' and contains(@href, '#!display') and contains(@href, 'n.page=ebulk_doc')]</td>
<p>Dozens of public and private big data sets are available in the platform, terabytes of data of any kind, including binaries like medical images, ndarrays and more. Do you want to download data sets or share your data? <ahref="#/?page=download">Download</a> our Ebulk tool to transfer big data! </p>
<p>Dozens of public and private big data sets are available in the platform, terabytes of data of any kind, including binaries like medical images, ndarrays and more. Do you want to download data sets or share your data? <aid="download_link">Download</a> our Ebulk tool to transfer big data! </p>
<divclass="half vertical-child">
<divclass="half vertical-child">
<p>See our full data set list!</p>
<p><aid="dataset_link">See our full data set list!</a></p>
<p><ahref="#/?page=register">Register to get full functionality.</a></p>
<p><aid="register_link">Register to get full functionality.</a></p>
<p><spanclass="contact-link"></span></p>
<p><spanclass="contact-link"></span></p>
</div>
</div>
<h1>Ebulk tool</h1>
<h1>Ebulk tool</h1>
<p>Ebulk tool is a wrapper for <atarget="_blank"href="http://www.embulk.org/docs/">Embulk</a>, an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services. It supports any kind of input file formats, parallel and distributed execution to deal with big data sets, transaction control to guarantee All-or-Nothing file transfer, and operation resuming. Ebulk is as easy as git to use, allowing the big data transfering to be done by using very few commands. Please, <ahref="#/?page=download">download</a> Ebulk and check the <ahref="#/?page=ebulk_doc">documentation</a>.</p>
<p>Ebulk tool is a wrapper for <atarget="_blank"href="http://www.embulk.org/docs/">Embulk</a>, an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services. It supports any kind of input file formats, parallel and distributed execution to deal with big data sets, transaction control to guarantee All-or-Nothing file transfer, and operation resuming. Ebulk is as easy as git to use, allowing the big data transfering to be done by using very few commands. Please, <aid="download_ebulk_link">download</a> Ebulk and check the <aid="documentation_link">documentation</a>.</p>
<h1>Wendelin</h1>
<h1>Wendelin</h1>
<p><atarget="_blank"href="https://wendelin.nexedi.com/">Wendelin</a> is a big data framework designed for industrial applications based on python, NumPy, Scipy and other NumPy based libraries. It uses at its core the NEO distributed transactional NoSQL database to store petabytes of binary data. Wendelin combines the performance of scikit-learn machine learning with NEO distributed storage in order to provide out-of-core processing of large data sets. Its goal is to bring the best open source, big data engine based on Numpy python technologies and gather a wide community of contributors of new data analytics algorithms.</p>
<p><atarget="_blank"href="https://wendelin.nexedi.com/">Wendelin</a> is a big data framework designed for industrial applications based on python, NumPy, Scipy and other NumPy based libraries. It uses at its core the NEO distributed transactional NoSQL database to store petabytes of binary data. Wendelin combines the performance of scikit-learn machine learning with NEO distributed storage in order to provide out-of-core processing of large data sets. Its goal is to bring the best open source, big data engine based on Numpy python technologies and gather a wide community of contributors of new data analytics algorithms.</p>
return gadget.notifySubmitted({message: 'Misformatted email and / or passwords not matching. Please note that all fields are required!', status: 'error'});
return gadget.notifySubmitted({message: 'Misformatted email and / or passwords not matching. Please note that all fields are required!', status: 'error'});