Big Data has taken the technology world by storm! In Layman’s terms, big data can be defined as any set of structured or unstructured data that is too big for regular database tools to handle and process. With huge chunks of data being generated regularly from various digital sources, it is essential for companies to … Continue reading 3 Real Time Big Data Applications
Category: Data Analytics
Hadoop greatly helps in storing and processing large data sets in a distributed computing environment. Today, the framework is largely adopted in IT solutions and hence the need for Hadoop experts who are trained in the field. Given below are some of the reasons why Hadoop training has become important. Importance of Hadoop training Hadoop … Continue reading 13 Reasons Why System/Data Administrators should do Hadoop Training
There are many advantages of processing Big Data Analytics in real-time. Knowing errors instantly within the organisation. Implementing new strategies To improve service dramatically Fraud can be detected the moment it happens Cost savings Better sales insights Keep up the customer trends The advantages of processing Big Data in real-time are many: Errors within the … Continue reading What are the advantages of Big Data Analytics?
Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications. Financial applications must monitor events to help counter … Continue reading New hyper-fast data ingestion enables smarter decisions
Processing big data can be a very difficult task because of extreme complexity due to size and diverse data types across businesses.It can be broadly divided into three main types according to their source, which are structured, semi-structured or not structured at all i.e. unstructured. However, a big data is perfectly analysed only when a … Continue reading Top Pain Points of Big Data Analytics
Information analytics has never been a “one size fits all” proposition. That applies to the hardware and software technologies organizations employ, the information being parsed and the goals of specific projects. So it’s worth examining how individual vendors approach analytics and the way they evolve their solutions and services to reflect changes in commercial markets. … Continue reading IBM launches new Integrated Analytics System with Machine Learning
In this blog, we will look at analyzing the Clickstream data with IBM Db2 EventStore to derive timely insights on interests of retail customers. Typically, ingesting streaming event data, persisting with low latency and analyzing it along with historical event data requires integrating multiple analytic systems. IBM Db2 EventStore is purpose built to simplify the … Continue reading Analyze clickstream data with IBM Db2 EventStore for customer insights