SAP HANA Session1 JH SOFTECH
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Transcript of SAP HANA Session1 JH SOFTECH
SAP HANA Session 1
Vikram AdityaSAP Architect
JHS InfotechFor sap online/class room training contact EMAIL: [email protected]
Introduction to SAP HANASession Overview This Session presents Why SAP HANA has been
developed and How this new technology can
help increasing business opportunities.
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Session ObjectivesAfter completing this lesson, you
will be able to: Explain the current existing pain points in a system using a classic database
Explain how SAP HANA can handle the pain points and help to improve profit
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Business Example
Today, a lot of companies need to
deal with an amazing amount of data and are not able to report on them efficiently due to data volume.
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Big Problem
First, the information explosion. Massive amounts of data is being created every year, and how fast your business reacts to it determines whether you succeed or fail.
This is a big problem and it is getting bigger.
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StatisticsIDC estimates that worldwide
digital content added up to 487 billion gigabytes in 2009. They predict this will double in 18 months, and every 18 months thereafter.
Its like a stack of DVDs all the way to the moon and back.
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Unable to use DataIn a Sloan Management survey in
2010 60% of executives said their companies have more data than they know how to use effectively. With data doubling every 18 months, that percentage is going to keep growing.
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Size of Data
According to EMC, by the end of 2011 there was 1.8 Zetabyte of digital data. 1Zetabyte is a trillion gigabytes.
Kilobyte>Megabyte>Gigabyte>Terabyte>Petabyte>Exabyte>Zetabyte>Yottabyte
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Today’s BusinessAt the same time, the consumerization
trend is driving up expectations as to what enterprise IT can help the business to do. People want instant access to information – in the moment – whether that is a moment of risk or a moment of opportunity. If the moment has passed and your business has not taken the right action, it has failed. People want instant answers. They want them to be right.
They want them anywhere, any time.
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Data - Demand This puts IT in a tough place. IT cannot
deliver what the business needs. Why?Because the cost of managing that data
explosion is too high. Because there is no practical way to instantly analyze everything thats going on relative to the business. IT can deliver some of the information. The most critical slice of information can be delivered in near real time. But its not enough. Data is
growing. Demand is increasing.
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What’s the Solution ?
We must find a way to deal with this –
A way to process and analyze massive amounts of data in real time.
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Role of HANA
Using groundbreaking in-memory hardware and software we can manage data at massive scale, analyze it at amazing speed, and give the business not only instant access to real time transactional information and analysis but also more flexibility. Flexibility to analyze new types of data in different ways, without creating custom data warehouses and data marts. Even the flexibility to build new applications which were not possible before.
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So, whats inside HANA?This architecture diagram explains
the main components and capabilities.We keep throwing around words like massive amounts of data and amazing speed.
What kinds of scale, speed and improvement are customers seeing?
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Proof Points - Proof Point 1First, amazing speed. One of our pilot
customers reduced the time it took to run a report from one hour to one second. That is 3600 times faster. Lets put that in perspective. SAP talks about helping you to “run better”, so lets use that as an example. When an average person runs, they move at about 7 miles per hour. 3600 times faster would be about 25,000 miles per hour.That is the fastest any human being has ever travelled, and it was only done once - by the astronauts on Apollo 10, on their return from the moon in 1969.
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Proof Point 2Amazing amounts of data. During testing for
HANA we executed queries against 460 billion rows of data in less than one second. That is like being able to analyze every repair and service visit for every car on earth in the last12 months, in one second. Or to process every address that everyone alive
today has ever lived at, in one second. Or to calculate the amount of taxes paid, by everyone on the planet, since 1950, in one second.
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Proof Point 3And finally, amazing value. Having
the ability to create new real-time processes and simplify your IT landscape has a big impact. According to a study by Oxford Economics, companies that implement real-time systems see an average 21% revenue growth, and a 19% reduction in IT cost.
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Why wait for data? All customers want to see their
current business data immediately in real-time. Nobody wants to wait until data is uploaded into BW.
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Why wait for new systems? Latest hardware and latest
database technology already now support real-time reporting on massive amount of data.
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SAP HANA
SAP HANA is a flexible, data-source-agnostic appliance that enables customers to analyze large volumes of SAP ERP data in real-time, avoiding the need to materialize transformations.
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SAP HANA as Software ApplianceSAP HANA appliance software is a
hardware and software combination that integrates a number of SAP components including the SAP HANA database, SAP Landscape Transformation Replication Server, SAP HANA Direct Extractor Connection (DXC) and Sybase Replication technology.
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SAP HANA Data BaseThe SAP HANA database is a hybrid
in-memory database that combines row-based, column-based, and object-based database technology. It is optimized to exploit the parallel processing capabilities of modern multi-core CPU architectures. With this architecture, SAP applications can benefit from current hardware technologies.
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ConfigurationComputer architecture has changed in recent years.
Now multi-core CPUs (multiple CPUs on one chip or in one package) are standard, with fast communication between processor cores enabling parallel processing. Main memory is no-longer a limited resource, modern servers can have 2TB of system memory and this allows complete databases to be held in RAM. Currently server processors have up to 64 cores, and 128 cores will soon be available. With the increasing number of cores, CPUs are able to process increased data per time interval. This shifts the performance bottleneck from disk I/O to the data transfer between CPU cache and main memory.
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Question & AnswersJHS INFOTECHEmail : [email protected]@gmail.com
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