Workload Automation Blog

Workload automation and job scheduling have become critical as application and IT processing requirements have expanded. Automation for workloads across a broad spectrum of operating systems, applications, databases, and dependencies is now fundamental to on-time service delivery. Learn about Workload Automation at BMC or explore BMC's Introduction to Hadoop.

DevOps on the Mainframe: Continuous Delivery for Next Gen IT

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Transforming the digital enterprise isn’t just about mobile apps and ‘cool’ new technologies. That’s a no brainer! Your mainframe applications aren’t going anywhere in the near future. Why?  Here are three main reasons mainframes are here to stay: Their scalability is unmatched. Their security is rock solid. They are easy to … [Read more...]

Apache Hive Beeline Client, Import CSV File into Hive

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Beeline has replaced the Hive CLI in what Hive was formally called HiveServer1. Now Hive is called HiveServer2 and the new, improved CLI is Beeline. Apache Hive says, “HiveServer2 (introduced in Hive 0.11) has its own CLI called Beeline. HiveCLI is now deprecated in favor of Beeline, as it lacks the multi-user, security, and other capabilities … [Read more...]

Respond to customer demands faster with Control-M

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How Control-M Automation API and Control-M Workload Change Manager accelerate the delivery of your digital business services The software Copernican Revolution: customer in the center, not code I’ve spent many years working in a software development laboratory, enough to see the software development process transitioning from waterfall to agile, … [Read more...]

Top 10 Tips to Implementing Continuous Delivery

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Transitioning to continuous delivery is a challenge full of failure leading to success Shifting an existing team to Continuous Delivery (CD) is hard. And make no mistake, you will fail along the way. The results, however, can be unmistakably awesome. Companies that make the transition to Continuous Delivery see measurable benefits, especially … [Read more...]

Graphing Spark Data with HighCharts

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Here we look at how to use HighCharts with Spark. HighCharts is a charting framework written in JavaScript. It works with both static and streaming data. So you can make live charts with it. And their collection of charts is a beautiful set of designs, made larger by the annual competition they hold. HighCharts is free for non-commercial use. It … [Read more...]

Basics of Graphing Streaming Big Data

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Imagine creating a live chart that updates as data flows in. With this you could watch currency value fluctuations, streaming IOT data, application performance, cybersecurity events, or other data in real time. It is not so hard to create Spark Streaming data. We give an example below. But creating any graphs more elaborate than simple SQL … [Read more...]

K-means Clustering with Apache Spark

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Here we show a simple example of how to use k-means clustering. We will look at crime statistics from different states in the USA to show which are the most and least dangerous. We get our data from here. The data looks like this. The columns are state, cluster, murder rate, assault, population, and rape. It already includes a cluster column … [Read more...]

Apache Spark: Working with Streams

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In the last two posts we wrote, we explained how to read data streaming from Twitter into Apache Spark by way of Kafka. Here we look at a simpler example of reading a text file into Spark as a stream. We make a simple stock ticker that looks like the screen below when we run the code in Zeppelin. Working with streaming data is quite … [Read more...]

What Is “Jobs-as-Code”?

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Is your organization looking to accelerate application delivery and application quality in order to stay competitive in today’s always-on economy? Adopting a Jobs-as-Code approach can transform your business for agile application delivery and processes by avoiding rework and headaches related to your application delivery. In addition, Jobs-as-Code … [Read more...]