Great news, I have 467 slides today …. Hahah… I’m just kidding… I only have 465…
Over the next four years, companies will experience flat IT spending. But underneath that will be a steady decrease in legacy spend accompanied by a corresponding increase in spend behind next gen technologies. But this chart also provides insight into the solution. The key to reducing costs while driving innovation is the data. CLICK In fact, forecast also shows that within four years 90% of data will be on next gen technology….
It’s important to realize how Application development has changed dramatically in the past 10 years… The complexity was driven by the difficulties in dealing with separate silos of data...
Real time – means you have a choice, now or when you are ready I can’t emphasize enough that this capability allows you to feed your production data stream into Dev and QA for testing – Many people would give an arm for that capability.
Much more than just traditional real-time… Not FINITE! It is a stream... There is no explicit end
Real time – means you have a choice, now or when you are ready
Anyone ever sit in a LONG meeting to discuss changing a database schema? Data warehouse? You know, those 30 minute meetings that run an hour long with no agreed upon answer? Add fields, DO NOT CHANGE a field type…
Gentle migrations… like JSON... Not sharing your database with everyone helps Avro, binary json....
Message driven architectures are fundamentally sound, but in the past the cost to scale the messaging layer was cost prohibi
Reading and acknowledging a messages is much like a database transaction, and within message queues they are a major factor to performance. All IO is in a continuous, sweeping motion, increases throughput
Either due to meetings! Or perhaps one application dominating the use of the shared database.
Event based data drives applications.. Whether it’s collecting machine sensors to predict and prevent failures, or providing key offers to customers, or identifying and preventing fraud before it happens. All these use cases are enabled by event based data flows and a converged platform.
Bad Actors! / Fraudsters Deviation from normal
For those who may be more familiar with a Customer 360 let me explain just how similar the software to support both models really is.
1 line of code Spyglass
blueprint for converged applications event driven microservices
This table isn’t meant to show you that we do everything better than Cloudera and Hortonworks, it is to show you that not all platforms are built for the same purpose. This is really intended to show you how truly different we are from Cloudera and Hortonworks. We compete with a number of other companies like IBM (DB2 and MQ), Oracle (DW and Database), Tibco (MQ)… we compete with a lot of different companies that cover different parts of your business. We just chose to build it into a single homogenous platform.
Evolving Beyond the Data Lake: A Story of Wind and Rain