Big Data & Analytics Blog

News and views from the team at Keylink

Splunk + Ironstream for Real-Time Mainframe Insights

Mainframes power mission-critical applications across the enterprise, processing millions of transactions every day. So it's no surprise the ability to obtain real-time security insights and operational intelligence from z/OS mainframe systems is generating a lot of buzz at the moment – especially among banking, finance and insurance organisations. The powerful combination of Splunk + Ironstream is the premier solution in this space...

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Meeting the Challenge of Mainframe Data on Hadoop

Experience and customer feedback tell us that working with mainframe data sets on Hadoop and Apache Spark isn't easy, but the amazing array of customer and transactional data sets stored on the mainframe makes it crucial for successful big data analytics and machine learning initiatives. That's why it's time to liberate your mainframe data for better business insight.

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In Focus: Syncsort DMX Secure Repository Passwords

Helping to secure login credentials for database, cloud, mainframe and message queue connections, Syncsort DMX offers a secure repository where you can store multiple password and secret key values, giving each item a user-specified name. While designing DMX tasks, you can then use any repository item in the connection credentials for your source and target business systems.

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Simplify Big Data Development with a Design Once, Deploy Anywhere Solution

It's certainly not a new refrain, but in recent years IT managers are increasingly being told to do more with less – even as the number of new projects and requirements increase. Data is the fuel that powers most new business initiatives, but each project needs a slightly different blend of data sources and data formats. Clearly data integration and ETL development can be a bottle-neck....

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Get Service-Centric Insights from Mainframe Systems

In these days of social media and 24x7 news cycles, an outage in a single customer facing business service such as online banking can rapidly escalate into a storm of bad publicity and outrage for the company involved. Those of us who've spent any time working in IT know that modern multi-platform systems like online banking are comprised of many moving parts...

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Harness your Data in Motion with StreamSets DataFlow Performance Manager

We often talk about the difficulties of managing increasing volumes of data in the modern enterprise, but the other big part of the puzzle for managing dataflows in your organisation is the exploding variety of new and different data types - cloud services, social media feeds, mobile, web and many more. For the average person looking at a dataflow diagram for common business applications, the first thought that likely springs to mind is “complex", followed quickly by "really complex” or possibly “spaghetti”...

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A Simple, No-Coding Approach for Ingesting Data into Hadoop

The sheer variety of different data sources in the modern enterprise can be a bit overwhelming - traditional databases, NoSQL databases, mainframe, message queues, cloud services - the list goes on. Ideally you want to ingest many (most!) of these data sets into Hadoop, because if the data's not in Hadoop then you can't utilise all the amazing capabilities of the Hadoop ecosystem.

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Replace Legacy Scripts to Improve Performance & Reduce Risk

Over time, enterprise IT tends to accumulate a library of scripts and code - in a wide variety of languages - that perform mission-critical functions, like overnight batch loading the data warehouse or running daily transaction reports. There's usually good intentions to redevelop stop-gap code in a more robust and maintainable fashion "as soon as we get time!" But business is always in motion and there isn’t really ever time to go back...

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Delivering the Missing Piece of the SIEM Enterprise Security Puzzle

Here’s a little corporate security scenario for you: What if Peter’s building swipe card is used at corporate headquarters in Melbourne, but Peter simultaneously logs into a desktop PC in the Sydney office? I think most people would agree that a security alert should be raised and the situation investigated fairly quickly.

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Self-Service is Key to Unlocking the Potential of Big Data

Have you ever felt like you're wading hip-deep through a swamp of data issues – missing values, incorrect product id's, conflicting standards and worse? Do you often find you have to manually update individual records and fields to wrestle a data source into some kind of usable format for analysis, and found yourself thinking – there has to be a better way? The problem is all too common...

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Simplify Apache Spark & Kafka Integration with Syncsort DMX-h v9

The latest version of Syncsort’s flagship data integration and ETL software for Hadoop - Syncsort DMX-h v9 is now shipping. It offers plenty of great new features and performance improvements, but today we’re going to focus on two of the standouts - Apache Spark and Kafka integration...

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Data Preparation on Hadoop with Trifacta Wrangler Enterprise

Keylink specialises in helping leading businesses tackle the difficult challenges of data integration, ETL, Hadoop and business intelligence. To ensure we’re providing our clients with the absolute best solutions, we’re constantly focused on discovering breakthrough technologies that can help in our customer engagements. As the global leader in data wrangling software, we see Trifacta as one of these breakthrough technologies...

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How Organisations Can Improve Mainframe Security & Compliance

Customer's have always seen security and availability as key strengths of the IBM z/OS Mainframe platform, and that's exactly why it's often used by large organisations to power mission-critical parts of their IT infrastructure. But given endless security threats and cyber-attacks from inside and outside the organisation, as well as escalating regulatory requirements it doesn't pay to be complacent...

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Meeting the Challenge of Mainframe Data Access with Hadoop

Our good friend Arnie Farrelly, VP of Global Support and Services at Syncsort was recently interviewed over at the Syncsort Blog. Arnie's always been a great supporter of Keylink and our customers in Australia and New Zealand. He's in constant contact with customers and partners globally, so he definitely has his finger on the pulse of all the various use cases for Hadoop adoption around the world. Arnie had a great answer to the question...

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Hadoop Perspectives for 2016: The Rise of Apache Spark

Over the last six months Apache Spark has risen to become the most active open source project in Big Data, and the results from Syncsort’s second annual Hadoop Market Adoption Survey certainly back that up. Over 250 IT decision-makers were surveyed on topics like the hottest compute frameworks, the top uses and the biggest benefits of Hadoop.

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High-Performance Amazon Redshift & Amazon S3 Connectivity Solution

The last few years have seen a dramatic rise in the use of cloud computing services in the enterprise, and the acknowledged leader of the pack in this area is Amazon Web Services (AWS) with over 1 million customers in 190 countries. It can be difficult to keep up to date with the range of capabilities that AWS offers, it seems like there are new services being added almost every week. However, two of the more popular ones are...

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On-Demand Webinar: Get Mainframe Security Intelligence in Real Time

Tracing the path of a single customer transaction in a large enterprise is a lot more complex than most people realise. The customer order may start out on the company website, then travel across various network links to a relational database server, on to the mainframe for account processing, then finally to an application server for fulfilment. What happens when it’s your job to find out where and why the transaction was delayed?

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Break the Barriers to Big Data Insights

Our customers see access to next-generation analytics as a key driver for introducing Hadoop in their organisation. But step one is to get data from existing business systems into Hadoop quickly and cost-effectively. Here are two companies meeting the challenge head-on...

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