Top 10 Predictions for Data and Analytics for 2020 and Beyond

Data and analytics is all set to become more objective oriented, and this will hold true for industries across domains.

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Structuring Unstructured Data with Enterprise Search

Unstructured data is fundamentally different from structured data, because while structured data is generated by computers, unstructured data is generated by humans.

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The 4 Cs in Enterprise Architecture

When we look at the title, the first thing that comes to our mind is 'What are the 4 Cs? Well, the 4 Cs we're talking about here are Connection, Collaboration, Communication, and Customers.

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Is Contextual Search the Future of Enterprise Search?

What is contextual search? Contextual search is defined as a search technology that focuses on the context of the query as well as the intent of the user in order to fetch the most relevant set of results.

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AI Turns Enterprise Search into Intelligent Search

This statistic by Forrester research indicates that an intelligent search tool is the need of the hour, if organizations want to improve the efficiency and productivity of employees.

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Semantic Search Tools Redefine the Future of Content

We all are very well aware of the concept of Semantic Search and how it improves the accuracy and relevancy of search by understanding the search context and the user intent. The important definitions here are Context and Intent.

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Technologies that Drive New Age Enterprise Search Tools

Enterprise search has come a long way in the last decade with the introduction of several advanced technologies. Today, the new age enterprise search tools are well-equipped to analyze even the most complex organizational data.

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Questions You Should Ask When Choosing an Enterprise Search Tool

We live in the times of Big Data and every enterprise in every corner of the globe today is facing the challenge of the unsurmountable volumes of data that keeps on increasing with every passing day.

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Why Natural Language Processing is the Future of BI

Natural language processing is all about making computers understand queries in the human language - the language you and me speak - and also respond in our language.

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Solving Real Business Challenges with Enterprise Search

Enterprise search has come a long way and the enterprise search you have today is a far cry from the enterprise search that came into being in the early '90s. Today, there are a host of technologies that have made their advent into the world of enterprise search, only to make it better and more effective.

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Why Analytics Matter the Most in Healthcare

Well, let me start off with saying Healthcare is no stranger to changes. Challenges have always been there along the way and are constant, but so too have been the solutions. Healthcare is turning into a consumer driven industry, and providers are not only competing to create the most attractive, intuitive and impactful experience for the people around.

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Enhanced Search with New Age Enterprise Search Tools

The exponential growth of unstructured data is a reality and enterprises are facing a growing challenge of leveraging this unsurmountable amount of unstructured data for insights to drive business growth.

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5 Common Techniques Used in Text Analysis Tools

According to a study by the International Data Group (IDG), unstructured data is growing at an alarming rate of 62% per year. The same study also suggests that by 2022, close to 93% of all data in the digital world will be unstructured!!

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Why Enterprises Need a Semantic Search Platform

The biggest challenge enterprises face when using a keyword based search platform is that a major portion of organizational data comprises of unstructured data. According to the Market Pulse Survey by SailPoint, over 71% of enterprises across the globe are not sure about how to manage unstructured data and the likely reason is that unstructured data is difficult to comprehend for a keyword based search tool.

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Limitations of Search Databases in Medical Literature

Given the exponential growth in medical literature, finding relevant information sooner is critical. Researchers, with more content and less time to analyse it, need systems that are smart and intelligent enough to integrate the scattered content, provide quicker discovery of information and tools for thorough analysis of content.

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An Intuitive Way to Search with Natural Language Processing (NLP)

We know that computers understand programming languages but how about making them understand human language, the language that you and me speak? Natural Language Processing (NLP) is a field of study that makes this possible, as it focuses on enabling computers to analyse, understand and derive meaning from human language in order to perform a large number of tasks.

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Working with Enterprise Search Relevancy Challenges

When enterprise searches are built from scratch, evaluation of the search quality remains key challenges of organizations implementing it. It always gives a feel of living in the darkness all the time. Such implementations demand enormous efforts and time. The chart below demonstrates a typical challenging situation in which organizations invest and work consistently on maturing the quality of searches over time, and yet remain far from satisfaction.

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SOLR Security with ManifoldCF

This article explains how to implement SOLR "document level security" using Manifold Connector Framework. ManifoldCF is an open source framework for pulling content out of a repository and sending it on to targets such as SOLR via a plug-in style and connector-based architecture.

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Building Docker image with Solr

There are two ways to build docker image:
  1. Running an image, modifying and committing it. This requires to access live container.
  2. Using Dockerfile and build it.
Let's take an example of creating a docker image with solr from scratch.

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Getting Started With Docker

According to the docker's website, "Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications."
In simple words, it's one of the methods to run and deploy your software application. Docker allows you to create lightweight "virtual machines". Here lightweight virtual machines are nothing but docker containers.

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Using Solr and TikaOCR to search text inside an image

Tesseract is probably the most accurate open source OCR engine available and with Apache Tika 1.7 you can now use the awesome Tesseract OCR parser within Tika! Solr 5.x has support for Tika 1.7 (See this) . I wanted to try this in Solr 5.2 so I configured this on my machine, Below are the steps required to make TikaOCR work with Solr 5.2.

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Solr: Backed up? Now you can restore it back

One of the lesser known but cool features of ReplicationHandler is support for index backup. You must have used ReplicationHandler in your project for replicating index from master to slave instances. if you want to take backup of index, you can do it as follows:

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Ontologies Vs Taxonomies Vs Thesauri, and its place on the Semantic Web

An ontology formally defines a common set of terms that are used to describe and represent a domain. An ontology is domain specific, and it is used to describe and represent an area of knowledge. It contains terms and the relationships among these terms. There is another level of relationship expressed by using a special group of terms: properties.

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Solr Optimistic Concurrency Unlocked!

If you have multiple clients updating documents, it's really critical to ensure that newer version of the document is never overwritten by the older version. To address this problem, what you need is concurrency control, which is the process of managing simultaneous update of documents.

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