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Posts Tagged ‘HANA’

Happy New Year !!!

January 2nd, 2014 No comments

Happy New Year 2014!!

In 2014, we’ll talk a lot about Sybase ASE on version 15.7.x.

We will also talk about data replication with SAP Sybase Replication Server, SAP Sybase IQ and SAP HANA.

Stay Tuned in new year !!

Team,
sybaseblog.com

Real Time HANA Replication from ASE Using SAP Sybase Replication Server

July 31st, 2013 No comments

Need of In-memory Technology : SAP HANA

May 6th, 2013 No comments

Challenge 1: Massive Data Growth

Massive amounts of data is being created every year and as per he IDC EMC report data growth would be 40K Exabytes by 2020 :

http://germany.emc.com/collateral/about/news/idc-emc-digital-universe-2011-infographic.pdf

http://www.emc.com/collateral/analyst-reports/idc-the-digital-universe-in-2020.pdf

Capture 2

Challenge 2: Fast access to business decision making information.

Business & People want fast exact and correct answer of all questions from this massive amount of data.

Challenge 3: Current Technologies Can not deliver with this massive data growth.

Historical DBMS :

Historically database systems were designed to perform well on computer systems with limited RAM, this had the effect that slow disk I/O was the main bottleneck in data throughput. Consequently the architecture of these systems was designed with a focus on optimizing disk access, e. g. by minimizing the number of disk blocks (or pages) to be read into main memory when processing a query.

New Hardware Architecture ( up to or more 128 Cores of CPU and 2TB of RAM)

Computer 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 1 TB of system memory and this allows complete databases to be held in RAM. Currently server processors have up to 80 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

Hana1

Need of In-memory Technology SAP HANA :

From the discussion above it is clear that traditional databases might not use current hardware most efficiently and not able to fulfill current and future business need.

The SAP HANA database is a relational database that has been optimized to leverage state of the art hardware. It provides all of the SQL features of a standard relational database along with a feature rich set of analytical capabilities.

Using groundbreaking in-memory hardware and software, HANA 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.

HANA Database Features

Important database features of HANA include OLTP & OLAP capabilities, Extreme Performance, In-Memory , Massively Parallel Processing, Hybrid Database, Column Store, Row Store, Complex Event Processing, Calculation Engine, Compression, Virtual Views, Partitioning and No aggregates. HANA In-Memory Architecture includes the In-Memory Computing Engine and In-Memory Computing Studio for modeling and administration. All the properties need a detailed explanation followed by the SAP HANA Architecture.

Source : www,sap.com and emc and idc reports.

 

What is SAP HANA?

February 18th, 2013 No comments

SAP HANA can be defined as an appliance that combines SAP software components optimized on hardware provided by SAP’s leading hardware partners.  It comes in a bundle of softwares along with the hardware (servers). SAP HANA servers are sold in “t-shirt” sizes ranging from Extra-Small (128GB RAM) all the way up to Extra Large (>2TB RAM) with multicore CPUs.

SAP HANA is both a database (in the traditional sense) and a database platform (in the modern sense).

In its current form SAP HANA can be used for four basic types of use case:

1. Agile Data Mart (Stand-alone database for reporting)

2. SAP business suite accelerator (secondary database for SAP business suite for reporting, calculation and analysis purpose)

3. A primary database for SAP Netweaver warehouse.

4. A development platform for new applications

 

Source: SAP

Categories: ASE, Database, Developement, HANA, SAP Tags: , , ,

Column Based Search

February 17th, 2013 No comments

To store a table in memory, two option exists: 1. Row based storage and 2. Column based storage.

In row based storage, A table is stored as a sequence of records, i.e. one full row in a data page/or consecutive data pages. It means all columns values of a table stored sequentially per row.

In column based storage, column values of a column are stoger in contiguous memory location.

Advantages of column based table storage in following circumstances

1. Calculations are typically executed on a single column or few columns only.

2. Table is searched based on values of a few columns.

3. Table has large number of columns.

4. Table has large number of rows, so that columnar operations are required (aggregate, scan etc)

5. High compression rates can be achieved because the majority of the  columns contain only few distinct values (compared to the number of rows)

Advantages of row based storage in following circumstances

1. The application needs to only process a single record at one time. (This applies to many selects and or updates of single record)

2. The application typically needs to access a complete record (or row)

3. The columns contain primarily distinct values so that compression rate would be low.

4. Neither aggregations nor fast searching is required.

5. The table has small number of rows (e.g. configuration tables)

 

Source: SAP

SAP SYbase ASE, SAP Sybase IQ and SAP HANA – In a snapshot

February 3rd, 2013 No comments
SAP Sybase ASE SAP Sybase IQ SAP HANA
High performance, reliable, scalable and resource-efficient OLTP database. Heavily optimize ASE for virtualized and cloud infrastructure    Aims to provide maximum performance and efficiency when running both OLTP and OLAP workloads on the SAME DATA and at the SAME TIME
Capability to handle transactional workloads. It is good to chose in case of budgetary constraints.   In- memory database, very high capability to handle transactional workloads.
SAP Sybase ASE is planned to be the preferred transactional database in the SAP Real-Time Data Platform for running SAP applications, SAP partner applications and custom applications    SAP HANA is planned to be the preferred database in the SAP Real-Time Data Platform for applications that need to run analytic and transactional workload on the same data at the same time 
  Sybase IQ is planned to focus on evolving columnar compression capabilities for effectively storing and processing data  SAP HANA is planned to leverage IP from Sybase IQ, such as in-database algorithms, Hadoop integration, index optimizations, and ELT capabilities for performing transforms in the Hana database 
  Plan to leverage Sybase IQ as near-line storage for SAP BW as well as leverage the technology in SAP ILM portfolio for archiving from the Business Suite Plan to leverage SAP HANA as database for native applications, SAP BW, as well as the Business Suite
  High-performance analytics server planned to deliver cost effectively for large volume data scenarios 

 Open platform for large scale data warehouse

 Analytical data mart for aged data in a BW+HANA+IQ scenario

 Cost effective data management scaling to extreme data volumes

 

 

 

 

 

Real-time platform for analytics and applications that simplified data management approaches to deliver real-time results 

 Operational / agile data mart for real-time scenarios

 Analytical data mart for complex real-time calculations

 Database for BW powered by SAP HANA

SAP SYbase ASE, SAP Sybase IQ and SAP HANA – In a snapshot

February 3rd, 2013 No comments
SAP Sybase ASE SAP Sybase IQ SAP HANA
High performance, reliable, scalable and resource-efficient OLTP database. Heavily optimize ASE for virtualized and cloud infrastructure  

 

Aims to provide maximum performance and efficiency when running both OLTP and OLAP workloads on the SAME DATA and at the SAME TIME
Capability to handle transactional workloads. It is good to chose in case of budgetary constraints.   In- memory database, very high capability to handle transactional workloads.
SAP Sybase ASE is planned to be the preferred transactional database in the SAP Real-Time Data Platform for running SAP applications, SAP partner applications and custom applications

 

  SAP HANA is planned to be the preferred database in the SAP Real-Time Data Platform for applications that need to run analytic and transactional workload on the same data at the same time

 

  Sybase IQ is planned to focus on evolving columnar compression capabilities for effectively storing and processing data

 

SAP HANA is planned to leverage IP from Sybase IQ, such as in-database algorithms, Hadoop integration, index optimizations, and ELT capabilities for performing transforms in the Hana database

 

  Plan to leverage Sybase IQ as near-line storage for SAP BW as well as leverage the technology in SAP ILM portfolio for archiving from the Business Suite Plan to leverage SAP HANA as database for native applications, SAP BW, as well as the Business Suite
  High-performance analytics server planned to deliver cost effectively for large volume data scenarios

 

 Open platform for large scale data warehouse

 Analytical data mart for aged data in a BW+HANA+IQ scenario

 Cost effective data management scaling to extreme data volumes

 

 

 

 

 

Real-time platform for analytics and applications that simplified data management approaches to deliver real-time results

 

 Operational / agile data mart for real-time scenarios

 Analytical data mart for complex real-time calculations

 Database for BW powered by SAP HANA

 

 

 

SAP Hana With Free Sybase Database

January 17th, 2013 No comments

“Customers could choose to deploy ASE or Hana in whatever mix of configurations they want,” explained Prakash Darji, SAP’s global VP for data warehouse solutions & SAP Hana platform. SAP customers could use Hana to accelerate certain Business Suite processes while leaving other processes on ASE”

Source : http://www.informationweek.com/software/enterprise-applications/sap-sweetens-hana-deal-with-free-sybase/240146282?goback=.gde_4634032_member_204773060

Categories: ASE, Database Tags: , , ,

SAP’s Hasso Plattner : Father of SAP’s In Memory Technology HANA

May 30th, 2012 No comments

Sir Hasso Plattner is a cofounder of software giant SAP AG. Today he is Chairman of the Supervisory Board of SAP AG.

Plattner founded the Hasso Plattner Institute for software systems engineering based at the University of Potsdam, and in Palo Alto, California, its only source of funding being the non-profit Hasso Plattner Foundation for Software Systems Engineering.

You can see his Book : In-Memory Data Management An Inflection Point
for Enterprise Applications

You can read more about him and his book @ http://no-disk.com/

Sir Hasso’s Interview :
[youtube http://www.youtube.com/watch?v=W6S5hrPNr1E]

Finally SAP’s EVP of Database Technology Platform steve’s views on SAP Database Technology Roadmap.

See the Future of Sybase ASE with SAP Real time Data Platform:
[youtube http://www.youtube.com/watch?v=OReE_qu8zmI]

Happy Learning SAP Sybase !!

Source : Google.com, wikipedia,sap.com,youtube.com,no-disk.com

SAP Unveils Unified Strategy for Real-Time Data Management to Grow Database Market Leadership!!!

April 10th, 2012 No comments

Finally the curtain is up :

SAP today provided the following road map details and areas of strategic innovation and investment of its database portfolio to increase its database market leadership by 2015:

  • SAP HANA platform: This state-of-the-art in-memory platform is planned to be the core of the SAP real-time data platform, offering extreme performance and innovation for next-generation applications.
  • SAP Sybase ASE: SAP Sybase ASE is intended as a supported option for SAP Business Suite applications while SAP HANA is planned to augment the extreme transactions of SAP Sybase ASE with real-time reporting capabilities.
  • SAP® Sybase IQ® server: SAP Sybase IQ is planned to deliver data management for “big data” analytics, offering extreme total cost of ownership (TCO). Progressive integration with SAP HANA is intended to provide a smart store for aged/cold data. SAP Sybase IQ is envisioned to share common capabilities and life-cycle management with the SAP HANA platform.
  • SAP® Sybase® SQL Anywhere: This market-leading mobile and embedded database with millions of deployments is planned to be the front-end database for the SAP HANA platform, extending its reach to mobile and embedded applications in real time.
  • SAP® Sybase® PowerDesigner software: This flagship data modeling, information architecture and orchestration software is envisioned to become the foundation of the modeling solution for the SAP real-time data platform, offering a large base of experts to customers. Ford Motor Company recently selected the software to drive its data modeling and management and centralize all logical and physical modeling functions.
  • SAP® Sybase® Event Stream Processor (ESP) software, SAP® Sybase® Replication Server and SAP solutions for EIM: Combined, these offerings are intended to provide data assessment and integration of batch, real-time change data capture and streaming data into the SAP real-time data platform.
  • SAP real-time data platform integrated with Hadoop: SAP HANA and SAP Sybase IQ are planned to extend support for accessing “big data” sources such as Hadoop, and offer a deeply integrated pre-processing infrastructure

Source :: http://www.sap.com/corporate-en/press/newsroom/press-releases/press.epx?pressid=18621