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Top Stories by Automic Blog

Five Key Requirements for Enabling Agile Analytics By Yann Guernion In today's digital economy, companies are faced with a fast data challenge as well as a Big Data one. As a result they are under pressure to adapt their analytics processes and data flows at pace to move beyond traditional data warehouse silos. Big Data projects are either too big or too complex to handle the traditional way. That's why most projects by companies at the start of their Big Data initiative have no process at all. Waterfall approaches are notably inefficient as you probably won't have access to proper staging environment and only limited time and scale for qualification. Big Data and DevOps Big Data implicitly promotes DevOps because there is no ability to separate Operations from Development when you ultimately discover the relevance of your algorithms at the production stage. It is in... (more)

Difference Between a Data Lake and a Data Warehouse | @BigDataExpo #BigData #DataLake #Storage

What Is the Difference Between a Data Lake and a Data Warehouse? By Dave Kellermanns The data warehouse and data lake are two different types of data storage repository. The data warehouse integrates data from different sources and suits business reporting. The data lake stores raw structured and unstructured data in whatever form the data source provides. It does not require prior knowledge of the analyses you think you want to perform. What is a Data Lake? A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hie... (more)

Why DevOps Transformation Produces Happiness | @DevOpsSummit #APM #DevOps #ContinuousDelivery

Three Reasons Why DevOps Transformation Produces Happiness By Charlie Coffey "It is not necessary to change. Survival is not mandatory." - W. Edwards Deming. How often do we see this quote used in DevOps blogs without a hint of irony? It's as if we need to instantly complete generations of evolution to stave off extinction, like trying to grow an extra lung overnight. DevOps or Die!!! So this is it - the dreaded DevOps transformation looms large. The department will be ‘shaken up', practices will be ‘turned on their head', and staff will be ‘taken out of their comfort zone'. It's... (more)

Bimodal IT and Automating IT Stack | @DevOpsSummit #DevOps #Microservices

What Do Bimodal IT, Automating Your Complex IT Stack and a Supercar Have in Common? By Dave Kellermanns In the Bimodal model we find two areas of IT - the traditional kind where the main concern is keeping the lights on and the IT focusing on agility and speed, where everything needs to be faster. Today companies are investing in new technologies and processes to emulate their most agile competitors. Gone are the days of waterfall development and releases only every few months. Today's IT and the business it powers demands performance akin to a supercar - everything needs to be f... (more)

Creative Data Automation and Orchestration By @Automic | @BigDataExpo #BigData

How Creative Data Automation and Orchestration Give Stunning End Results By Larry Salomon Data automation and orchestration have given us free two-day shipping via Amazon Prime; next day shipping via the major postal companies; delivery via Uber or drone; and so on. These are all concepts that we are either intimately familiar with as consumers of these services or at least are cognizant of them because of news reports, TV commercials or YouTube videos. Convenience and digital transformation The value of convenience cannot be overstated. However, our need for instant gratification ... (more)