Changes

     <li><p><b>Distributed processing </b>capabilities associated with a logical data warehouse.</p></li>

     <li><p><b>Distributed processing </b>capabilities associated with a logical data warehouse.</p></li>

   </ul>

   </ul>

   <p class="expand mw-collapsible-content"><b>How TD Bank Made Its Data Lake More Usa</b></p>

   <p class="expand mw-collapsible-content"><b>[[https://www.datanami.com/2017/10/03/td-bank-made-data-lake-usable How TD Bank Made Its Data Lake More Usa]]</b></p>

  <p class="expand mw-collapsible-content">[[https://www.datanami.com/2017/10/03/td-bank-made-data-lake-usable]]<br>Toronto-Dominion Bank (TD Bank) is one of the largest banks in North America, with 85,000 employees, more than 2,400 locations between Canada and the United States, and assets nearing $1 trillion. In 2014, the company decided to standardize how it warehouses data for various business intelligence and regulatory reporting functions. The company purchased a Hadoop distribution and set off to build a large cluster that could function as a centralized lake to store data originating from a variety of departments.</p>

  <p class="expand mw-collapsible-content">Toronto-Dominion Bank (TD Bank) is one of the largest banks in North America, with 85,000 employees, more than 2,400 locations between Canada and the United States, and assets nearing $1 trillion. In 2014, the company decided to standardize how it warehouses data for various business intelligence and regulatory reporting functions. The company purchased a Hadoop distribution and set off to build a large cluster that could function as a centralized lake to store data originating from a variety of departments.</p>

   <h2>Canadian Government Use</h2>

   <h2>Canadian Government Use</h2>