For any business, data is a great tool to understand your audience and their brand perception. Data helps inform decisions about marketing and the best ways to approach customers. However, because so many consumer interactions with brands are quick and social, it is tough to make sense of what you’re seeing. We’ll explain what conversational … Continue reading Utilizing Conversational Analysis to Maintain Accurate Audience Data
Month: September 2021
MapReduce – Understanding With Real-Life Example
MapReduce is a programming model used to perform distributed processing in parallel in a Hadoop cluster, which Makes Hadoop working so fast. When you are dealing with Big Data, serial processing is no more of any use. MapReduce has mainly two tasks which are divided phase-wise: Map TaskReduce Task /a00-274-sas-certified-visual-modeling-using-sas-visual-statistics-8-4/ Let us understand it with … Continue reading MapReduce – Understanding With Real-Life Example
How To Leverage Digital Price Tags In Your Retail Stores?
The immense popularity of online shopping and e-commerce has significantly challenged offline retail stores to quickly adapt to the evolved shopping benchmarks in a pandemic-hit world. Consequently, brick-and-mortar retail stores are revitalizing themselves with sophisticated technologies and adopting tools such as digital price tags, also known as electronic shelf labels (ESLs). /a00-274-sas-certified-visual-modeling-using-sas-visual-statistics-8-4/ Digital price tags … Continue reading How To Leverage Digital Price Tags In Your Retail Stores?
Big Data Testing – Understanding the Complex World of Data Testing Strategy
Big Enterprises with a large footprint on the World Wide Web through numerous touchpoints must deal with a humongous quantum of data generated every second. Traditional data storage and processing methods or tools are seemingly inadequate to deal with such data volumes in real-time. /sas-certification/ Hence, such enterprises need a big data testing strategy to … Continue reading Big Data Testing – Understanding the Complex World of Data Testing Strategy
Difference Between Hadoop and Apache Spark
Hadoop: It is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. /qlik-certification/ Hadoop is built in Java, and accessible through many … Continue reading Difference Between Hadoop and Apache Spark
The Ways Machine Learning Companies Can Redefine Insurance
Most insurance companies tend to process only a small part of their data — around 10 to 15%. The rest of the data in their databases are not being processed adequately, meaning that they are probably missing on insights in the data they keep but never analyze. /sas-certification/ However, in order to analyze the unstructured … Continue reading The Ways Machine Learning Companies Can Redefine Insurance
Difference between Hadoop 1 and Hadoop 2
Hadoop is an open source software programming framework for storing a large amount of data and performing the computation. Its framework is based on Java programming with some native code in C and shell scripts.