Whois & Analysis for databricks.com

Databricks is a company founded by the creators of Apache Spark, that aims to help clients with cloud-based big data processing using Spark.

Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, a distributed computing framework built atop Scala.

Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks.

In addition to building the Databricks platform, the company is co-organizing massive open online courses about Spark and runs the largest conference about Spark - Spark Summit.

Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to Knowledge Discovery in Databases (KDD).

Analysis of data, also known as data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.

Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.

Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand.

It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services), which can be rapidly provisioned and released with minimal management effort.

Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in either privately owned, or third-party data centers that may be located far from the user–ranging in distance from across a city to across the world.

Cloud computing relies on sharing of resources to achieve coherence and economy of scale, similar to a utility (like the electricity grid) over an electricity network.

Scalability is the capability of a system, network, or process to handle a growing amount of work, or its potential to be enlarged in order to accommodate that growth.

For example, it can refer to the capability of a system to increase its total output under an increased load when resources (typically hardware) are added.

An analogous meaning is implied when the word is used in an economic context, where scalability of a company implies that the underlying business model offers the potential for economic growth within the company.