Time to put the “T” back into ETL?
A hidden cost of ELT is the proliferation of costly database staging areas to do transformations. High performance ETL may be a better option
Get your data ready for 2020
Welcome to 2020 everyone Kicking off by borrowing a look forward from our partner, Syncsort How to Modernize Your Traditional Database in 2020 If your data center is like many others, you have several important applications that rely on traditional database implementations. For example, it’s not unusual for companies to have business-critical applications that use…
Streaming analytics is key to leveraging value from M2M and IoT data
The constant and relentless nature of ‘always-on’ data generation also makes real time analytics even more important. Much of this data is only relevant now, in the moment, and once it is historical it no longer has worth. It must be analysed immediately and then deleted, otherwise no value can be gained.
Self-service BI and analytics are key to getting the insight you need, when you need it
Emerging digital channels are driving an explosion of useful data: data available in every area, from sensors to social media, our customers to our machines. Yet, without the ability to analyse this information, it is of no value, as we cannot use it to derive actionable insight that will allow us to deliver what our…
Are you struggling to really track lineage?
Date lineage is increasing important to business users looking to understand and trust data. Yet tradtional solutions provide incomplete and inaccurate results
5 critical success factors for streaming data pipelines
Earlier this year, our partner, Syncsort published the results of their 2019 Data Trends survey. A key finding; IT is grappling with data delivery and value Only nine percent of respondents called their organisation very effective at getting value from data, with many struggling to make data accessible to users. What is Data Streaming? Data…
Best Practices for Bringing Mainframe Data to Hadoop
Both mainframe and Hadoop skills are in high demand – bridge the gap and reduce costly, time-consuming data collection and preparation tasks
