Titan is an open-source Graph database that is highly scalable. A Graph database is a type of NoSQL where all data is stored as nodes and edges. A graph database is suitable for applications that use highly connected data, where the…
This tutorial will cover setting up a Hadoop cluster on the cloud provider. The Hadoop software library is an Apache framework that lets you process large data sets in a distributed way across server clusters through leveraging basic programming models….
Collecting user data is common practice in modern sites and applications as a way of providing creators with more information to make decisions and create better experiences. Among other benefits, data can be used to help tailor content, drive product direction, and provide…
Big data is a blanket term for the non-traditional strategies and technologies needed to organize, process, and gather insights from large datasets. Many users and organizations are turning to big data for certain types of workloads, and using it to supplement their existing analysis and business tools. Tools that exist in this space offer different options for interpolating data into a system, storing it, analyzing it, and working with it through visualizations.
Apache Hadoop is one of the earliest and most influential open-source tools for storing and processing the massive amount of readily-available digital data that has accumulated with the rise of the World Wide Web. It evolved from a project called Nutch, which attempted to find a…
Apache Spark Apache Spark is an open source data processing framework which can perform analytic operations on Big Data in a distributed environment. It was an academic project in UC Berkley and was initially started by Matei Zaharia at UC Berkeley’s AMPLab in 2009. Apache Spark was created on top of a cluster management tool […]
Big data is a blanket term for the non-traditional strategies and technologies needed to gather, organize, process, and gather insights from large datasets. While the problem of working with data that exceeds the computing power or storage of a single computer is not new,…
ClickHouse is an open-source, column-oriented analytics database created by [Yandex](https://yandex.com) for OLAP and big data use cases. In this tutorial, you’ll install the ClickHouse database server and client on your machine. You’ll use the DBMS for typical tasks and optionally enable remote access from another server so that you’ll be able to connect to the database from another machine.
ClickHouse is an open source, column-oriented analytics database created by Yandex for OLAP and big data use cases. In this tutorial, you’ll install the ClickHouse database server and client on your machine. You’ll use the DBMS for typical tasks and optionally enable remote access from another server so that you’ll be able to connect to the database from another machine. Then you’ll test ClickHouse by modeling and querying example website-visit data.
In this tutorial, you’ll install Hadoop in stand-alone mode on a Debian 9 server. You’ll also run an example MapReduce program to search for occurrences of a regular expression in text files.
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