"Big data" and "data lake" only have meaning to an organization’s vision when they solve business problems by enabling data democratization, re-use, exploration, and analytics. Read on to learn what a data lake is, its various benefits, and what's to come.
Apache Kafka is a great solution for handling real-time data feeds. Learn more about tuning Kafka to meet your high performance needs in this great video.
Check out the following infographics and brief break-down to help you visualize and understand the decisions involved in choosing a microservice architecture.
Here's how to link Apache Kafka and Ignite, for maintaining scalability and reliability for data processing. We'll explore injecting data with KafkaStreamer, as well as IgniteSinkConnector.
I’m not an ETL expert. In fact, I haven’t done any professional ETL work for several years. My skills are, at best, rusty. With this in mind, I knew I’d have a hard time extracting data from a local database in order to move it up to Azure SQL Data Warehouse. Read on to hear about my journey.
Barclays Data Scientist Gianmario Spacagna and Harry Powell, Head of Advanced Analytics, describe how they iteratively process raw data directly from the central data warehouse into Spark and how Tachyon is their key enabling technology.
Wearables have infiltrated the IoT space, but they're relegated mainly to the consumer market. However, 2016 may see wider adoption in the enterprise. Check out what APX Labs discovered in a recent report, "What's Next in Wearable Technology."
Databases are enabling companies to use data to inform real-time decisions about their business as well as to use predictive analytics to make better informed, real-time decisions.