Welcome!

Industrial IoT Authors: William Schmarzo, Elizabeth White, Stackify Blog, Yeshim Deniz, SmartBear Blog

Related Topics: Java IoT, Industrial IoT, Microservices Expo, Microsoft Cloud, Machine Learning , Recurring Revenue

Java IoT: Article

Mainstream Business Applications and In-Memory Databases

Databases serving business applications are heading towards memory-centric design and implementation

(Please refer to the following article: Oracle 12c In-Memory Database is Out - Hardly Anybody Notices for update on Oracle 12c databases)

Contemporary large servers are routinely configured with 2TB of RAM. It is thus possible to fit an entire average size OLTP database in memory directly accessible by CPU. There is a long history of academic research on how to best utilize relatively abundant computer memory. This research is becoming increasingly relevant as databases serving business applications are heading towards memory centric design and implementation.

If you simply place Oracle RDBMS's files on Solid State Disk, or configure buffer cache (SGA) large enough to contain the whole database, Oracle will not magically become an IMDB database, nor it will perform much faster.  In order to properly utilize memory, IMDB databases require purposely architected, configured, balanced and optimized hardware (CPU, RAM, Flash, busses, cluster interconnect), as well as RDBMS software written with RAM as center point in mind. IMDB's main premise is that data primarily resides in RAM and is only persisted to disk for protection and auxiliary functions.  Data structures, methods and processes typically associated with an RDBMS (index types, join methods, data layout, internal data flows and processing) need to be (re)designed with RAM-centric axiom in mind.

There are a few fully functional IMDB products available on the market today. SAP Hana is one of the most recent additions to IMDB class of products.

SAP Hana is a hybrid row/columnar data store.  It is designed under the assumption that the most of operations ( either OLTP or OLAP ) are reading ( as opposed to writing ) the data. Hana aspires to serve equally well both OLTP and OLAP workloads since it considers them similar in terms of workload characteristics.

Hana's row oriented tables are always in memory, while column tables are loaded to memory on demand. Column store data is dictionary encoded and compressed and thus more expensive (in terms of system resources) for inserts and updates than row store. In order to handle relatively demanding writes to column store, Hana's database memory is logically split into main store and delta store.  Main store is optimized for reads and efficient memory consumption. Writes to columnar data are handled via delta storage which has basic compression level and is optimized for write. Cache Sensitive B+ tree (CSB+) used for faster search on delta. Delta and main store are merged automatically or manually. The need for delta store effectively halves size of database that Hana can handle since delta store must equal size of the main store.

While SAP Hana column store performance is in some cases is spectacular (aggregations over small number of columns), reconstruction of large rows is fairly slow because of the need to reconstruct rows.

It is possible to build clusters with dozens of nodes (SAP recently tested 100 node, 100 TB RAM cluster), where data is distributed across nodes.

In Hana's clustered, distributed database, all data is not directly accessible by a single CPU (only local RAM is directly addressable) which has negative  performance implications.

There are other memory centric databases available on the market today - IBM Solid DB, Oracle Times Ten, Volt DB. We expect that major vendors like Oracle further modify their mainstream RDBMS to adjust to increased role of RAM and other types of memory in modern hardware.

More Stories By Ranko Mosic

Ranko Mosic, BScEng, is specializing in Big Data/Data Architecture consulting services ( database/data architecture, machine learning ). His clients are in finance, retail, telecommunications industries. Ranko is welcoming inquiries about his availability for consulting engagements and can be reached at 408-757-0053 or [email protected]

IoT & Smart Cities Stories
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...