Imagine you are a business analyst in the marketing department of a bank. Your bank has just acquired the credit card business from another financial institution. It’s going to take a bit of time to get the acquired customer information file incorporated into the master data management (MDM) program, but you want to get a … Continue reading Get a jump start on real-time analytics and insights
Category: Big data
Everywhere you go today, people are looking down at a mobile device. They are online, browsing, collaborating, shopping for goods and services and transacting business. And not just consumers are using them. Mobile devices are also being used extensively in business-to-business transactions. Customers and prospects have become empowered in the online world. Social networks and … Continue reading Why 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
Cloudera Data Science Workbench (CDSW) provides data science teams with a self-service platform for quickly developing machine learning workloads in their preferred language, with secure access to enterprise data and simple provisioning of compute. Individuals can request schedulable resources (e.g. compute, memory, GPUs) on a shared cluster that is managed centrally. While self-service provisioning of … Continue reading New in Cloudera Data Science Workbench 1.2: Usage Monitoring for Administrators
Since the birth of big data, Cloudera University has been teaching developers, administrators, analysts, and data scientists how to use big data technologies. We have taught over 50,000 folks all of the details of using technologies from Apache such as HDFS, MapReduce, Hive, Impala, Sqoop, Flume, Kafka, Core Spark, Spark SQL, Spark Streaming, and Spark … Continue reading Big Data Architecture Workshop
Today, we’re really excited to announce the latest innovation from Cloudera and Informatica’s partnership. Companies are increasingly moving their data operations into the cloud. With both companies focusing on helping customers derive business insights out of vast amounts of data, our new joint offering will dramatically simplify leveraging cloud-native infrastructures for big data analytics. Cloudera … Continue reading Informatica Big Data Management on Cloudera Altus
Hadoop is a Java-based, open source framework that supports companies in the storage and processing of massive data sets. Currently, many firms still struggle with interpreting Hadoop’s software and are doubtful about whether or not they can depend on it for delivering projects. Even so, it's essential to understand just how much Hadoop enables businesses … Continue reading How to Best Leverage the Services of Hadoop Big Data?