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SAP: All content tagged as SAP in NoSQL databases and polyglot persistence

Thoughts on The Future of Hadoop in Enterprise Environments

In case you are looking for some sort of reassurance that big companies are into Hadoop, check SAP’s Innovation Evangelist, Timo Elliott’s perspective on the Hadoop market. It should be no surprise what he sees as the main trend:

Companies want to take advantage of the cost advantages of Hadoop systems, but they realize that Hadoop doesn’t yet do everything they need (for example, Gartner surveys show a steady decline in the proportion of CIOs that believe that NoSQL will replace existing data warehousing rather than augmenting it – now just 3%). And companies see the performance advantages of in-memory processing, but aren’t sure how it can make a difference to their business.

Original title and link: Thoughts on The Future of Hadoop in Enterprise Environments (NoSQL database©myNoSQL)

via: http://timoelliott.com/blog/2014/03/thoughts-on-the-future-of-hadoop-in-enterprise-environments.html


Three Analyst Predictions for 2013: Hadoop, SAP, and MySQL vs NoSQL

The season of predictions is here. Chris Kanaracus in an all-bold post, quoting analysts:

Jon Reed: “Expect SAP to purchase an up-and-coming “big data” product or vendor, and perhaps several, including at least one that specializes in integration with the Hadoop framework for large-scale data processing”.

I’m still scratching my head to come up with the long list of product or vendors specialized in integration of Hadoop that SAP could acquire.

Curt Monash: “Expect plenty of additional adoption for Hadoop. Everybody has the ‘big bit bucket’ use case, largely because of machine-generated data. Even today’s technology is plenty good enough for that purpose, and hence justifies initial Hadoop adoption.”

True.

What I hope to see happening is that besides the companies putting together the building blocks to make Hadoop friendly enough (real work) and the companies claiming integration with Hadoop (not that fantastic work), there’ll be some companies that take the Hadoop stack and built tools whose immediate impact on the business can be measured. Basically vertical solutions applying the Hadoop stack to specific markets, segments, and scenarios.

The main challenge of “Big Data” these days is not that there isn’t value behind it. It’s the measurability of this value. What each company looking into Big Data tries to answer is what value does big data carry for my case? This is a founded question as not every company has an infinite budget, time, and magic resource pool.

Curt Monash: “Usually when the topic of alternative databases comes up, the incumbent is often Oracle or IBM DB2. But in 2013, MySQL could be playing the latter role. NoSQL and NewSQL products often are developed as MySQL alternatives.

Until now NoSQL companies have understood that the competition is not with each. The huge market that relational databases have it covered has enough potential to welcome a few solid NoSQL solutions and there’s no long term need to fight over the few people that already paid attention to them.

Make your bets.

Original title and link: Three Analyst Predictions for 2013: Hadoop, SAP, and MySQL vs NoSQL (NoSQL database©myNoSQL)


SAP HANA With an Embedded Application Server. And Web Server. And Development Environment

Good or bad idea?

The core concept of SAP HANA Extended Application Services is to embed a full featured application server, web server, and development environment within the SAP HANA appliance itself. However this isn’t just another piece of software installed on the same hardware as SAP HANA; instead SAP has decided to truly integrate this new application services functionality directly into the deepest parts of the SAP HANA database itself, giving it an opportunity for performance and access to SAP HANA differentiating features that no other application server has.

Bad

Original title and link: SAP HANA With an Embedded Application Server. And Web Server. And Development Environment (NoSQL database©myNoSQL)

via: http://scn.sap.com/community/developer-center/hana/blog/2012/11/29/sap-hana-extended-application-services


Overview of Dremel-Like Solutions: Moving Beyond Hadoop for Big Data Needs

Until I learn more about the recently announced Cloudera Impala and Druid from Metamarkets, this article by Jaikumar Vijayan should offer—with some inherent mistakes1—a good overview of the solutions aiming to offer alternatives to the batch-processing nature of Hadoop:

  • Google Dremel (BigQuery)
  • Cloudera Impala
  • Metamarkets Druid
  • Nodeable StreamReduce
  • SAP HANA integrated with Hadoop, etc.

  1. Just an example: “If you can stand latencies of a few seconds, Hadoop is fine. But Hadoop MapReduce is never going to be useful for sub-second latencies”. Then “The technology [nb Google Dremel] can run queries over trillion-row data tables in seconds…”

    Maybe just one more: consider the title “Moving beyond Hadoop” and then the quote from Google’s Ju-kay Kwek: “Google uses Dremel in conjuction with MapReduce. […] Hadoop and Dremel are distributed computing technologies, but each was built to address very different problems.” 

Original title and link: Overview of Dremel-Like Solutions: Moving Beyond Hadoop for Big Data Needs (NoSQL database©myNoSQL)

via: http://www.infoworld.com/print/205879


About SAP HANA in Relative Terms

Curt Monash reports from his briefings with SAP:

SAP HANA has what sounds like a natural disk-based persistence strategy — logs, snapshots, and so on. SAP says that this is synchronous enough to give ACID compliance. For some hardware partners, those “disks” are actually Fusion I/O cards.

I rarely encounter such relative terms used to describe a database. Can I have a database that stores a good amount of my data at a superb speed using a bizarre cluster persistence strategy?

As a side note, according to what I’m reading around, SAP is betting a lot on HANA and sees in it the solution that will make SAP the second largest database vendor.

Original title and link: About SAP HANA in Relative Terms (NoSQL database©myNoSQL)

via: http://www.dbms2.com/2012/02/26/sap-hana-today/


Why In-Memory Analytics Is Like Digital Photography

A great article about a type of products in search for market share.

Original title and link: Why In-Memory Analytics Is Like Digital Photography (NoSQL database©myNoSQL)

via: http://timoelliott.com/blog/2011/09/why-in-memory-analytics-is-like-digital-photography-an-industry-transformation.html


SAP HANA: In-Memory Analytical Appliance

Dennis Moore:

SAP HANA does manage data in memory, for nearly incredible performance in some applications, but it also manages to persist that data on disk, making it suitable for analytical applications and transactional applications – simultaneously.

SAP HANA architecture

The architecture diagram above doesn’t show anything uncommon: a good ecosystem and a (pretty classical?) storage engine with an in-memory layer—the Calc Engine and MDX support are not present though in a relational database engine.

But here is the problem:

In the short-term, it seems that SAP still struggles to generate references for HANA, other than in a narrow set of custom data-warehouse-type analytics.

[…]

When HANA is generally available […]

The way I read it is: even with selected clients HANA doesn’t seem to provide the promised value. The real question is why? Isn’t it cost effective? Doesn’t HANA bring enough innovation to solve real problems? Is the in-memory layer not enough for addressing the range of problems HANA is promising to solve? Is the competition providing better or more effective solutions?

Original title and link: SAP HANA: In-Memory Analytical Appliance (NoSQL database©myNoSQL)

via: http://www.enterpriseirregulars.com/39209/the-real-potential-impact-of-sap-hana/