Integrate Couchbase into Your Data Environment
By Kishan Iyer
Course info
Course info
Description
When using Couchbase, it is most likely one of the many tools in your environment which you use to store and manage your data. Each of these tools will have their own use case for how they work with your data. In this context, moving data between the various tools becomes a crucial, and potentially tricky, task. In this course we look at how to integrate your Couchbase database with a variety of other tools you may have in your environment, from search applications to data analysis platforms. First, you'll begin with a generic means of accessing Couchbase data, specifically, Couchbase views. You'll look at the MapReduce programming model which views are based on, how these can be defined and then invoked. Next, you'll move on to making Couchbase data available in other tools in your environment which are compliant with either JDBC or ODBC. You'll include demos to access data in your Couchbase buckets from Microsoft Excel and also Talend Open Studio. This course also looks into hooking up a Couchbase database with various big data tools in your environment using the specialized connectors offered by Couchbase. These include connectors for Apache Kafka, Apache Spark and Elasticsearch. Once you finish this course, you will recognize the need for integrating Couchbase with other data tools within your organization. And you will know precisely how to link a Couchbase database with a number of such data platforms.
About the author
An engineer at heart, I am drawn to any interesting technical topic. Big Data, ML and Cloud are presently my topics of interest.
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Section Introduction Transcripts
Course Overview
Hi, and welcome to this course, Integrate Couchbase into Your Data Environment. My name is Kishan Iyer, and I will be your instructor for this course. A little about myself first. I have a masters degree in computer science from Columbia University, and I have previously worked in companies such as Deutsche Bank and WebMD In New York. I presently work for Loonycorn, a studio for high‑quality video content. When you use Couchbase, it is most likely one of the many tools in your environment which you use to store and manage your data. Each of these tools will have their own use case for how they work with your data. In this context, moving data between the various tools becomes a crucial and potentially tricky task. In this course, we'll look at how to integrate your Couchbase database with a variety of other tools you may have in your environment, from search applications to data analysis platforms. We begin with the generic means of accessing Couchbase data, specifically Couchbase views. We'll look at the MapReduce programming models which views are based on, and how these can be defined and then invoked. We'll move on then to making Couchbase data available in other tools in your environment which are compliant with either JDBC or ODBC. We include demos to access data in your Couchbase buckets from Microsoft Excel and also Talend Open Studio. This course also looks into hooking up a Couchbase database with various big data tools in your environment using the specialized connectors offered by Couchbase. These include connectors for Apache Kafka, Apache Spark, and Elasticsearch. Once you finish this course, you will recognize the need for integrating Couchbase with other data tools within your organization, and you will know precisely how to link a Couchbase database with a number of such data platforms.