TMCnet Feature
August 26, 2020

What Is Elasticsearch?

Large corporations, mid-sized organizations, and small family operated businesses in various industries can benefit from keeping data at the center of their decisions. Data such as consumer and customer attitudes, lifestyles, digital behaviors, brand preferences, income, age, gender, location, and other demographics can generate insights that can be crucial to success if implemented into actions and business decisions.

The Importance of Data in Business Decision Making

Data can show business owners what their customers like and dislike, help them improve customer satisfaction, and increase brand loyalty and customer retention. To be effective, business owners must integrate raw data such as supply costs, sales figures, and customer retention rates with other data that readies them to become information that professionals can utilize to guide their decision-making. For instance, being able to put sales figures into a market or historical context makes these data more meaningful. Business owners can better understand if sales are better or worse than the previous month or quarter and if changes in figures are a response to a specific strategy.

Just as harnessing data and incorporating them into business strategies is essential, so is being able to manage large amounts of data. Companies should have a feasible approach for data collection, storage, transformation, distribution, and consumption.

Utilizing the Right Technology for Data Management

Owners of small businesses, enterprises, and large companies can benefit from harnessing the accuracy and efficiency of innovative technology solutions to manage, receive, and search data. Consider purchasing technology products from a reputable computer technology company such as SearchBlox, a leading provider of sentiment analysis, text analytics, visualization, and enterprise search solutions. This company’s products help businesses simplify the analysis of complex data generated from several sources, including social media, email, customer surveys, and websites.

Such software solutions built on open source technologies enable enterprises to power their intranets, websites, and custom search applications. The elastic search engine based on Elasticsearch, for example, enhances data security and makes enterprise search engines efficient regardless of the complexity of the organization and its data.

Elasticsearch and Data

Elasticsearch is the world’s main open-source search and analytics solution. It’s suitable for all types of data, such as numerical, textual, geospatial, structured, and unstructured. Built on Apache Lucene, Elasticsearch has simple rest APIs, scalability, and speed. Furthermore, Elasticsearch is the primary aspect of the Elastic Stack—known as the ELK Stack, referencing Elasticsearch, Logstash, and Kibana—a group of open-source tools for data ingestion, storage, analysis, and visualization.

Elasticsearch utilizes a document-based structure rather than a structure built on tables and schemas. A robust technological solution, Elasticsearch has extensive APIs for data storage and searching. Elasticsearch can process JSON requests and return JSON data. Elasticsearch supports several programming languages, including Java, JavaScript (Node.js), Go, .NET (News - Alert), PHP, Perl, Python, and Ruby.

Data input in Elasticsearch can come from sources such as web applications, system metrics, and logs. Following data ingestion, in which raw data gets parsed, normalized, and enriched ahead of indexing in Elasticsearch, users can run complex queries against their data.

One of the many benefits of Elasticsearch is that it’s fast. This search engine is a near real-time platform, as there is typically a length of time as short as one second between indexing a document and making it searchable. Such efficiency makes Elasticsearch the most suitable solution for time-sensitive use cases such as infrastructure monitoring and security analysis.

The speed, scalability, and ability to index various content allow Elasticsearch to be practical for enterprise searches, website searches, application searches, security analytics, business analytics, application performance monitoring, geospatial data analysis and data visualization, and infrastructure metrics and container monitoring. The SearchBlox Elasticsearch service allows enterprises to maximize the return on their Elasticsearch investment.

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