[ignite-website] branch master updated: Updated Hadoop Acceleration page mentioning how to replicate changes between Ignite and Hadoop clusters. Needed to phase out IGFS and old Hadoop Accelerator pages.

[dm...@apache.org]

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dmagda pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/ignite-website.git


The following commit(s) were added to refs/heads/master by this push:
     new e7a19d5  Updated Hadoop Acceleration page mentioning how to replicate changes between Ignite and Hadoop clusters. Needed to phase out IGFS and old Hadoop Accelerator pages.
e7a19d5 is described below

commit e7a19d5418b7399fedcad12582cfa9f24f93f285
Author: Denis Magda <dm...@gridgain.com>
AuthorDate: Mon Apr 13 15:34:29 2020 -0700

    Updated Hadoop Acceleration page mentioning how to replicate changes between Ignite and Hadoop clusters. Needed to phase out IGFS and old Hadoop Accelerator pages.
---
 use-cases/hadoop-acceleration.html | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/use-cases/hadoop-acceleration.html b/use-cases/hadoop-acceleration.html
index 6a32396..54d62f7 100644
--- a/use-cases/hadoop-acceleration.html
+++ b/use-cases/hadoop-acceleration.html
@@ -87,7 +87,7 @@ under the License.
 
         <p>
             Finally, consider using Apache Spark DataFrames APIs if an application needs to run federated or
-            cross-database across Ignite and Hadoop clusters. Ignite is integrated with Spark, which natively
+            cross-database queries across Ignite and Hadoop clusters. Ignite is integrated with Spark, which natively
             supports Hive/Hadoop. Cross-database queries should be considered only for a limited number of
             scenarios when neither Ignite nor Hadoop contains the entire data set.
         </p>
@@ -131,6 +131,13 @@ under the License.
                 Update your applications to ensure they use Ignite native APIs to process Ignite data and Spark
                 for federated queries.
             </li>
+            <li>
+                If you need to replicate changes between Ignite and Hadoop clusters, consider using existing
+                change-data-capture solutions like Debezium, Kafka, GridGain Data Lake Accelerator, Oracle GoldenGate
+                or others. If you'd like Ignite to write-through changes to Hadoop directly, then implement
+                <a href="https://apacheignite.readme.io/docs/3rd-party-store" target="_blank">Ignite's CacheStore</a>
+                interface.
+            </li>
         </ul>