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?
Start small by focusing on what you hope to accomplish with your data and work backwards. Big data is gradually percolating every technology from AI to autonomous cars to IoT, with companies continuing to invest heavily on Big Data Analytics. However, if you blindly spend on building infrastructure and buying tools, without really thinking about … Continue reading Five Ways to Make Big Data Investment Work For Your Organization
Whether we find ourselves shopping for the latest tech gadget or something even bigger like a new car, the one thing we rely on to make the right decision is data. Data in the form of a product’s specifications, reviews from the experts, as well as data in the form of comments and reviews from … Continue reading Compliant data freedom: Oxymoron or opportunity?
One of the most important steps for creating data visualizations is selecting which aspects, features or dimensions of the data to present—in other words, letting the data dictate the visualization. Unlike school assignments, data scientists and professionals rarely receive project that provides the same clear guidance they received as children. There is no longer a … Continue reading Data visualization playbook: Determining the right level of detail
Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding. Variety, in this context, alludes to the wide variety of data sources and formats that may contain insights to help organizations to make better decisions. Everything from our existing database records of … Continue reading Big Data: The Data Variety Discussion