{"id":1925,"date":"2015-05-01T14:10:10","date_gmt":"2015-05-01T14:10:10","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=1925"},"modified":"2025-07-07T13:24:43","modified_gmt":"2025-07-07T20:24:43","slug":"welcome-to-the-big-data-track-spark-kafka-hadoop-and-more","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/welcome-to-the-big-data-track-spark-kafka-hadoop-and-more\/","title":{"rendered":"Welcome to the Big Data Track: Spark, Kafka, Hadoop and more"},"content":{"rendered":"

I\u2019m excited to introduce the Big Data track for Couchbase Connect 2015.<\/p>\n

Interested in learning about Spark, Kafka, Hadoop, and NoSQL? You\u2019ve come to the right place. We\u2019re going to spend two days discussing integration, architecture, and solutions – and we\u2019re doing it at Levi\u2019s Stadium in June.<\/p>\n

You\u2019ll get to hear from the technical staff at LinkedIn. They\u2019re not just implementing big data solutions, they\u2019re creating the blueprints.<\/p>\n

In addition, you\u2019ll get to hear from the NoSQL experts at Couchbase, the Hadoop experts at Hortonworks, the Kafka experts at Confluent, and more!<\/p>\n

Select Menu Items<\/h3>\n

The Role of NoSQL in a Hadoop<\/strong>
\nPresented by: Couchbase<\/p>\n

NoSQL or Hadoop? No. It\u2019s NoSQL and Hadoop. Understand the differences between NoSQL and Hadoop, their strengths and weaknesses, and how they compliment each other. Let there be no more confusion.<\/p>\n

Introduction to the Hadoop Ecosystem<\/strong>
\nPresented by: Hortonworks<\/p>\n

There\u2019s a lot more to Hadoop than HDFS and MapReduce. Learn about the components of Hadoop and its ecosystem. Who better to present than Hortonworks? After all, Hortonworks Data Platform (HDP) includes all of these components.<\/p>\n

Blueprints for Big Data Architectures<\/strong>
\nPresented by: Couchbase<\/p>\n

NoSQL and Hadoop compliment each other. Now, discover how and why they\u2019re integrated in real world. These are the blueprints creating by those with big data solutions like Aol Advertising, LinkedIn, LivePerson.<\/p>\n

Import\/Export Data to Hadoop with Apache Sqoop<\/strong>
\nPresented by: Couchbase<\/p>\n

Learn how to create a big data refinery – collect data in Couchbase Server, export it to Hadoop for refinement, and import the refined into Couchbase Server. It may be old school, but it\u2019s effective.<\/p>\n

Streaming Data with Apache Kafka<\/strong>
\nPresented by: Confluent<\/p>\n

Did you know that you can can stream data from Couchbase Server to Kafka as it\u2019s written – inserted, updated, or deleted? The database doesn\u2019t have to be the last stop on the train. It can be the first. The data can continue on. Might as well hear from the team that created Kafka itself.<\/p>\n

Analyzing Data with Apache Spark<\/strong>
\nPresented by: TBD<\/p>\n

DAG is in, MapReduce is out. Learn how analyze data in Couchbase Server with Spark and, thanks to SQL for Documents, Spark SQL. Got memory? Analyze lots of data collected in Couchbase Server. Then, write the results to Couchbase Server. Finally, view the results.<\/p>\n

Stream Processing with Apache Spark and Apache Storm<\/strong>
\nPresented by: Couchbase<\/p>\n

There\u2019s a place for offline processing. Everywhere else, there\u2019s real-time. Stream processing not only enables real-time analytics, it create data flows. Learn how Couchbase Server can provide data for or consume data from stream processors.<\/p>\n

Ingesting and Processing Data with Kafka and Hadoop<\/strong>
\nPresented by: LinkedIn<\/p>\n

Did we mention Kafka and Hadoop? Learn from the company that created its own Kafka to HDFS pipeline (Camus). Enough said.<\/p>\n

The Yearly Special<\/h3>\n

Rise of the Machines: Skynet\u2019s Big Data Requirements<\/strong><\/p>\n

Presented by: Me (Arnold was busy)<\/p>\n

This is not your father\u2019s Internet. It\u2019s not all status updates, tweets, upvotes, and comments. There\u2019s a few billion people connect to the Internet. However, there\u2019s 20 billion machines connected it – right now. They generate a lot data, and they type faster than us. They consume it too. And, as we saw in Terminator Salvation, network access can be disrupted. What then?<\/p>\n

Register for Couchbase Connect 2015<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

I\u2019m excited to introduce the Big Data track for Couchbase Connect 2015. Interested in learning about Spark, Kafka, Hadoop, and NoSQL? You\u2019ve come to the right place. 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