Analysis of large SAP data solution

Source: Internet
Author: User

In the past few years, the rise of social media, the large number of applications of digital sensors and the widespread proliferation of mobile devices have led to the rapid generation of massive amounts of data. At the same time, how to get the useful value of large data becomes the key of firm decision.

In this article, the author brings the Big Data solution for SAP, but asks for the proposal.

SAP Large Data solution is mainly focused on database and data Warehouse level and enterprise information management level. Among them, data warehouse and Data warehouse solution mainly by real-time data platform Hana, analytic database SAP Sybase IQ and transaction type database Syabse ASE to handle, enterprise information management mainly by SAP information Steward, SAP Netweave, Enterprise Content Management (ECM) to process.

SAP Hana:sap HANA has a strong analytical capability to provide a versatile memory application device that enables businesses to instantly master business operations, analyze all available data, and respond quickly to rapidly changing business environments. SAP Hana provides a flexible, cost-effective, efficient and real-time way to manage massive amounts of data without having to run multiple data warehouses, operations, and analysis systems. Enterprises can access operational data directly through SAP HANA, which synchronizes the main transaction tables into memory in a near real-time manner so that they can be easily accessed when analyzed or found.

The SAP Sybase iq:sap Sybase IQ is a high-level analysis of large data that breaks down barriers to data analysis and integrates it into the Enterprise analytics process. SAP Sybase IQ employs a three-tier architecture: 1 Basic Layer-database management system (DBMS), a fully shared MPP analysis DBMS engine, is our greatest unique advantage; 2 analyzes the Application service layer, which provides APIs in C + + and Java databases, and the Integration and Federation of external data sources, including four integration methods with Hadoop, 3 the top--sybase IQ ecosystem, consists of four powerful and diverse partners and certified ISV applications.

Sybase IQ provides a unified DBMS platform to analyze different data-structured and semi-structured using a variety of algorithms. Sybase IQ 15.4 extends these features by introducing a self-contained mapreduce API, comprehensive and flexible Hadoop integration, support for Predictive Model Markup Language (PMML), and an extended database of statistical and data mining algorithms, These algorithms make full use of the Distributed query processing ability brought by the large-scale parallel processing grid based on Sybase IQ PLEXQ technology.

Sybase ASE: A relational database management system (RDBMS) that is fully known as the Sybase re-use Server Enterprise to handle large datasets. It is a client/server architecture based database, but also a multiple-threaded high-performance, event-driven, programmable database, which not only provides database capabilities, but also provides self-management, automatic failover support, as well as a large number of performance tuning features, can save a lot of running costs.

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