Tag: Analytics

3 Real Time Big Data Applications

3 Real Time Big Data Applications

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

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New hyper-fast data ingestion enables smarter decisions

New hyper-fast data ingestion enables smarter decisions

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

IBM launches new Integrated Analytics System with Machine Learning

IBM launches new Integrated Analytics System with Machine Learning

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

Analyze clickstream data with IBM Db2 EventStore for customer insights

Analyze clickstream data with IBM Db2 EventStore for customer insights

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

Propelling the future of big data and data science

Propelling the future of big data and data science

Data is a potent business resource and the key to gaining and maintaining competitive advantage. Last month, IBM and Hortonworks announced a partnership to bring data science to the world on an open platform, offering Hortonworks Data Platform (HDP) along with IBM Data Science Experience (DSX) and IBM Big SQL to help everyone from data … Continue reading Propelling the future of big data and data science

10 expert tips to boost agility with Hadoop as a service

10 expert tips to boost agility with Hadoop as a service

Recently, a group of Apache Hadoop and Apache Spark subject matter experts from IBM Analytics hosted a public CrowdChat discussion about using cloud-based Hadoop and Spark services as a lever for business agility. Here is a top-ten list of hot topics and themes that emerged from that discussion. Despite years of effort centralizing information in … Continue reading 10 expert tips to boost agility with Hadoop as a service

The 3 Cs of big data

We’re all familiar with big data’s varying number of Vs: volume, variety, velocity and veracity. However, taking into consideration the purpose for which insight can be derived from big data is highly important and likely more useful for engineering information systems. This purpose is often characterized by using data to inform enhanced decision making, and … Continue reading The 3 Cs of big data