The document provides an overview of SAP's data management and analytics portfolio, including products such as SAP HANA, SAP SQL Anywhere, SAP ASE, SAP IQ, SAP Data Services, SAP Data Hub, SAP Information Steward, SAP PowerDesigner, SAP BusinessObjects BI suite, SAP Crystal Reports, SAP Web Intelligence, SAP Lumira, SAP Predictive Analytics, and SAP Enable Now. It describes the key capabilities and uses of each product.
SAP HANA and Apache Hadoop for Big Data Management (SF Scalable Systems Meetup)Will Gardella
In this presentation I argue that the future of data management may see a split between (1) real-time in-memory systems such as SAP HANA for most enterprise workloads (2) disk-based free and open-source Apache Hadoop for certain specialized big data uses.
The presentation starts with a definition of what is intended by the term big data, then talks about SAP HANA and Apache Hadoop from the perspective of suitability for enterprise use with a special concentration on Hadoop. (The basics of SAP HANA were covered in the immediately preceding session). This is followed by a description of currently available SAP support for Apache Hadoop in SAP BI 4.0 and SAP Data Services / EIM. Due to time constraints I did not discuss Apache Hadoop support built into Sybase IQ.
CIO Guide to Using SAP HANA Platform For Big DataSnehanshu Shah
This guide supports CIOs in setting up a system infrastructure for their business that can get the best out of Big Data. We describe what the SAP HANA platform can do and how it integrates with Hadoop and related technologies interplay, looking at data life cycle management and data streaming. Concrete use cases point out the requirements associated with Big Data as well as the opportunities it offers, and how companies are already taking advantage of them.
Big Data and BI Tools - BI Reporting for Bay Area Startups User GroupScott Mitchell
This presentation was presented at the July 8th 2014 user group meeting for BI Reporting for Bay Area Start Ups
Content - Creation Infocepts/DWApplications
Presented by: Scott Mitchell - DWApplications
For more customer stories, please visit: http://bit.ly/1dsW5X1
Discover SAP HANA use cases applicable to your business needs, organized by SAP solution or business category. Read success stories from customers already implementing these use cases to build business value, and get guidance on how you can deliver the use cases to your business.
Leveraging SAP HANA with Apache Hadoop and SAP AnalyticsMethod360
The rise of big data and the Apache Hadoop platform allows for the capture and processing of data at an unprecedented scale and velocity. Watch this slide deck to get a comprehensive overview of the Apache Hadoop platform architecture and learn how to leverage the strengths of both the Apache Hadoop and SAP HANA platforms.
SAP HANA - The Foundation of Real Time, Now on the AWS Cloud Computing PlatformAmazon Web Services
The future holds many transformational opportunities. Capitalize on the new technology frontier and realize value previously unattainable with SAP HANA. Learn how SAP and AWS are collaborating to empower businesses, developers, startups and even sports fans to take advantage real time computing in the cloud.
SAP and AWS experts will outline:
• How do SAP and AWS align to support your cloud strategy, large or small?
• What is SAP HANA and how does it enable you to run your business in real-time?
• Use cases for developers and enterprise; and capabilities including analytics, business processes, sentiment data processing, and predictive.
• How to get immediate value by deploying SAP HANA on the AWS cloud computing platform.
• Best practices and reference guides to help you.
• Customer success stories, including the Women’s Tennis Association (WTA).
Summary of three National webinars. Three V's, market, Functional areas showing most traction, Hot Revenue/ROI areas, Architecture options and using Use cases to overcome objections.,
SAP HANA and Apache Hadoop for Big Data Management (SF Scalable Systems Meetup)Will Gardella
In this presentation I argue that the future of data management may see a split between (1) real-time in-memory systems such as SAP HANA for most enterprise workloads (2) disk-based free and open-source Apache Hadoop for certain specialized big data uses.
The presentation starts with a definition of what is intended by the term big data, then talks about SAP HANA and Apache Hadoop from the perspective of suitability for enterprise use with a special concentration on Hadoop. (The basics of SAP HANA were covered in the immediately preceding session). This is followed by a description of currently available SAP support for Apache Hadoop in SAP BI 4.0 and SAP Data Services / EIM. Due to time constraints I did not discuss Apache Hadoop support built into Sybase IQ.
CIO Guide to Using SAP HANA Platform For Big DataSnehanshu Shah
This guide supports CIOs in setting up a system infrastructure for their business that can get the best out of Big Data. We describe what the SAP HANA platform can do and how it integrates with Hadoop and related technologies interplay, looking at data life cycle management and data streaming. Concrete use cases point out the requirements associated with Big Data as well as the opportunities it offers, and how companies are already taking advantage of them.
Big Data and BI Tools - BI Reporting for Bay Area Startups User GroupScott Mitchell
This presentation was presented at the July 8th 2014 user group meeting for BI Reporting for Bay Area Start Ups
Content - Creation Infocepts/DWApplications
Presented by: Scott Mitchell - DWApplications
For more customer stories, please visit: http://bit.ly/1dsW5X1
Discover SAP HANA use cases applicable to your business needs, organized by SAP solution or business category. Read success stories from customers already implementing these use cases to build business value, and get guidance on how you can deliver the use cases to your business.
Leveraging SAP HANA with Apache Hadoop and SAP AnalyticsMethod360
The rise of big data and the Apache Hadoop platform allows for the capture and processing of data at an unprecedented scale and velocity. Watch this slide deck to get a comprehensive overview of the Apache Hadoop platform architecture and learn how to leverage the strengths of both the Apache Hadoop and SAP HANA platforms.
SAP HANA - The Foundation of Real Time, Now on the AWS Cloud Computing PlatformAmazon Web Services
The future holds many transformational opportunities. Capitalize on the new technology frontier and realize value previously unattainable with SAP HANA. Learn how SAP and AWS are collaborating to empower businesses, developers, startups and even sports fans to take advantage real time computing in the cloud.
SAP and AWS experts will outline:
• How do SAP and AWS align to support your cloud strategy, large or small?
• What is SAP HANA and how does it enable you to run your business in real-time?
• Use cases for developers and enterprise; and capabilities including analytics, business processes, sentiment data processing, and predictive.
• How to get immediate value by deploying SAP HANA on the AWS cloud computing platform.
• Best practices and reference guides to help you.
• Customer success stories, including the Women’s Tennis Association (WTA).
Summary of three National webinars. Three V's, market, Functional areas showing most traction, Hot Revenue/ROI areas, Architecture options and using Use cases to overcome objections.,
Advanced Analytics Infographic shows SAP HANA’s solutions to embed smart agile analytics into decision processes to deliver business impact. For more information, please visit sapaha.com/aa
SAP Helps Reduce Silos Between Business and Spatial DataSAP Technology
Discover how spatial solutions from SAP can help your business leverage geographic and spatial data to deliver location intelligence, increase insight, and improve efficiency. Solutions include SAP HANA, SAP BusinessObjects Analytics, SAP Geographical Enablement Framework, SAP GEO.e, Galigeo.
sap hana|sap hana database| Introduction to sap hanaJames L. Lee
SAP HANA, sap hana implementation scenarios, sap hana deployment scenarios, SAP HANA Implementations, sap hana implementation and modeling, sap hana implementation cost, sap hana implementation partners, Applications based on SAP HANA, SAP HANA Databases.
Oracle BI Hybrid BI : Mode 1 + Mode 2, Cloud + On-Premise Business AnalyticsMark Rittman
Presented at the UKOUG Business Analytics SIG Meeting in April 2016, addresses the question as to whether enterprise BI tools such as OBIEE12c are relevant in the world of Gartner BiModal Mode 1 + Mode 2 analytics, and Hybrid cloud/on-premise deployments
R is an in-memory based scripting language and is capable of handling big data, tens of gigabytes and hundreds of millions of rows. And when combined with SAP HANA, R offers the potential to take the in-memory analytics to a whole new level. Imagine performing advanced statistical analysis such as decision tree, game-theory, linear and multiple regressions and much more inside SAP HANA on millions of rows and turning around with critical business insights at the speed of thought.
Hadoop World 2011: Big Data Architecture: Integrating Hadoop with Other Enter...Cloudera, Inc.
Recent research has pointed out the complementary nature of Hadoop and other data management solutions and the importance of leveraging existing systems, SQL, engineering, and operational skills, as well as incorporating novel uses of MapReduce to improve analytic processing. Come to this session to learn how companies optimize the use of Hadoop with other enterprise systems to improve overall analytical throughput and build new data-driven products. This session covers: ways to achieve high-performance integration between Hadoop and relational-based systems; Hadoop+NoSQL vs Hadoop+SQL architectures; high-speed, massively parallel data transfer to analytical platforms that can aggregate web log data with granular fact data; and strategies for freeing up capacity for more explorative, iterative analytics and ad hoc queries.
I have compiled a list of FAQs I have received during several customer meetings I had on SAP HANA. They are pretty basic but cover most of the baseline. I have also presented this during the Technology & Mobility Forum in Istanbul on 1st June 2012.
Whether MVC for user interfaces, or Spine and Leaf for data centers, new
architecture patterns in our industry act as sort of historical markers of the
effectiveness and acceptance of new technologies. Practical techniques push the
bounds resulting in a shift. Application of distributed storage and streaming
capabilities such as Kafka and of course Hadoop are shifting Big Data architectures
from a layer cake concept, or North/South oriented approach to one which can be
thought of as an East/West architectural concept. Recently popular is Lambda
Architecture, this article presents an SAP HANA based rendering of the Lambda
Architecture.
Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...Impetus Technologies
In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake.
Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads.
Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today.
In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable.
The following scenarios will be covered:
On-Prem
Data quality and ETL with Apache Spark using pre-built operators
Advanced monitoring of Spark pipelines
On Cloud
Visual interactive development of Apache Spark Structured Streaming pipelines
IoT use-case with event-time, late-arrival and watermarks
Python based predictive analytics running on Spark
Advanced Analytics Infographic shows SAP HANA’s solutions to embed smart agile analytics into decision processes to deliver business impact. For more information, please visit sapaha.com/aa
SAP Helps Reduce Silos Between Business and Spatial DataSAP Technology
Discover how spatial solutions from SAP can help your business leverage geographic and spatial data to deliver location intelligence, increase insight, and improve efficiency. Solutions include SAP HANA, SAP BusinessObjects Analytics, SAP Geographical Enablement Framework, SAP GEO.e, Galigeo.
sap hana|sap hana database| Introduction to sap hanaJames L. Lee
SAP HANA, sap hana implementation scenarios, sap hana deployment scenarios, SAP HANA Implementations, sap hana implementation and modeling, sap hana implementation cost, sap hana implementation partners, Applications based on SAP HANA, SAP HANA Databases.
Oracle BI Hybrid BI : Mode 1 + Mode 2, Cloud + On-Premise Business AnalyticsMark Rittman
Presented at the UKOUG Business Analytics SIG Meeting in April 2016, addresses the question as to whether enterprise BI tools such as OBIEE12c are relevant in the world of Gartner BiModal Mode 1 + Mode 2 analytics, and Hybrid cloud/on-premise deployments
R is an in-memory based scripting language and is capable of handling big data, tens of gigabytes and hundreds of millions of rows. And when combined with SAP HANA, R offers the potential to take the in-memory analytics to a whole new level. Imagine performing advanced statistical analysis such as decision tree, game-theory, linear and multiple regressions and much more inside SAP HANA on millions of rows and turning around with critical business insights at the speed of thought.
Hadoop World 2011: Big Data Architecture: Integrating Hadoop with Other Enter...Cloudera, Inc.
Recent research has pointed out the complementary nature of Hadoop and other data management solutions and the importance of leveraging existing systems, SQL, engineering, and operational skills, as well as incorporating novel uses of MapReduce to improve analytic processing. Come to this session to learn how companies optimize the use of Hadoop with other enterprise systems to improve overall analytical throughput and build new data-driven products. This session covers: ways to achieve high-performance integration between Hadoop and relational-based systems; Hadoop+NoSQL vs Hadoop+SQL architectures; high-speed, massively parallel data transfer to analytical platforms that can aggregate web log data with granular fact data; and strategies for freeing up capacity for more explorative, iterative analytics and ad hoc queries.
I have compiled a list of FAQs I have received during several customer meetings I had on SAP HANA. They are pretty basic but cover most of the baseline. I have also presented this during the Technology & Mobility Forum in Istanbul on 1st June 2012.
Whether MVC for user interfaces, or Spine and Leaf for data centers, new
architecture patterns in our industry act as sort of historical markers of the
effectiveness and acceptance of new technologies. Practical techniques push the
bounds resulting in a shift. Application of distributed storage and streaming
capabilities such as Kafka and of course Hadoop are shifting Big Data architectures
from a layer cake concept, or North/South oriented approach to one which can be
thought of as an East/West architectural concept. Recently popular is Lambda
Architecture, this article presents an SAP HANA based rendering of the Lambda
Architecture.
Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...Impetus Technologies
In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake.
Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads.
Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today.
In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable.
The following scenarios will be covered:
On-Prem
Data quality and ETL with Apache Spark using pre-built operators
Advanced monitoring of Spark pipelines
On Cloud
Visual interactive development of Apache Spark Structured Streaming pipelines
IoT use-case with event-time, late-arrival and watermarks
Python based predictive analytics running on Spark
Bring Your SAP and Enterprise Data to Hadoop, Kafka, and the CloudDataWorks Summit
The world’s largest enterprises run their infrastructure on Oracle, DB2 and SQL and their critical business operations on SAP applications. Organisations need this data to be available in real-time to conduct necessary analytics. However, delivering this heterogeneous data at the speed it’s required can be a huge challenge because of the complex underlying data models and structures and legacy manual processes which are prone to errors and delays.
Unlock these silos of data and enable the new advanced analytics platforms by attending this session.
Find out how to:
• To overcome common challenges faced by enterprises trying to access their SAP data
• You can integrate SAP data in real-time with change data capture (CDC) technology
• Organisations are using Attunity Replicate for SAP to stream SAP data in to Kafka
Speakers:
John Hol, Regional Director, Attunity
Mike Hollobon, Director Business Development, IBT
Comment rendre votre architecture BI plus flexible avec HANA?agileDSS
De plus en plus, les besoins d’analyse des entreprises croient de manière exponentielle (opérationnels, prédictifs, temps réel, etc.). En même temps, les volumes de données ainsi que les différentes sources de données suivent les mêmes tendances de croissance (Big Data, Internet of Thing, etc). Pour pallier à cette tendance, votre environnement BI se doit d’avoir une fondation assez robuste tout en étant flexible. Durant cette conférence, vous verrez comment SAP HANA peut vous aider à supporter cette nouvelle réalité.
The challenge of computing big data for evolving digital business processes demands variety of computation techniques and engines (SQL, OLAP, time-series, graph, document store), but working in unified framework. A simple architecture of data transformations while ensuring the security, governance, and operational administration are the necessary critical components for enterprise production environments supporting day-to-day business processes. In this session, you will learn about best practices & critical components to ensure business value from latest production deployments. Hear how existing customers are using SAP Vora and the value they have achieved so far with this in-memory engine for distributed data processing. The session provides you with a clear understanding how SAP Vora and open source components like Apache Hadoop and Apache Spark offer an architecture that supports a wide variety of use cases and industries. You will also receive very useful insight where to find development resources, test drive demos, and general documentation.
The strategic relationship between Hortonworks and SAP enables SAP to resell Hortonworks Data Platform (HDP) and provide enterprise support for their global customer base. This means SAP customers can incorporate enterprise Hadoop as a complement within a data architecture that includes SAP HANA and SAP BusinessObjects enabling a broad range of new analytic applications.
Extend SAP S/4HANA to deliver real-time intelligent processesSAP Technology
Accelerate your journey towards an intelligent enterprise. Extend SAP S/4HANA with SAP’s business technology platform to make data from all sources available to business applications and analytics, deliver real-time insights to act quickly, augment intelligence, and enable breakthrough innovations.
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...Hortonworks
Many enterprises are turning to Apache Hadoop to enable Big Data Analytics and reduce the costs of traditional data warehousing. Yet, it is hard to succeed when 80% of the time is spent on moving data and only 20% on using it. It’s time to swap the 80/20! The Big Data experts at Attunity and Hortonworks have a solution for accelerating data movement into and out of Hadoop that enables faster time-to-value for Big Data projects and a more complete and trusted view of your business. Join us to learn how this solution can work for you.
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology PlatformSAP Technology
Best run companies are already benefiting from SAP S/4HANA. Move to SAP S/4HANA quickly with confidence. SAP EIM and SAP Cloud Platform capabilities help you migrate data, curate, and govern master data, archive unused data, move custom code. With performance, functional, and security test tools, customers can move to SAP S/4HANA with confidence.
A Hitchhiker’s Guide to the Digital Economy for Banks by Ilker TasdemirMDS ap
MDSap Presentation at MEBIS 2018 on how the banking industry is being disrupted in the digital economy where technology changes everything from how customers find, select and engage with banks to how third-party financial services, P2P platforms, and the broader FSI eco-systems will be replacing many of the traditional services banks provide. This session offers advisory for banks to start their digital transformation and the best way to quickly gain ROI.
SAP Forum Ankara 2018 - IETT RITIM Başarı HikayesiMDS ap
Metrobüs toplu taşıma sistemini, farklı kaynaklardan gelen verileri birleştirerek analiz etmek, sistemi canlı izlemeye olanak sağlamak ve idari birime önceden karar almada yardımcı olabilmek amacıyla tasarlanmış projeye ait başarı sunumu IETT sunumuyla SAP Forum Ankara 2018 katılımcılarıyla buluştu.
A presentation on why it is important to innovation in the age of digital and more importantly what organizations can do to effectively manage innovation and ideas.
Presented by Ilker Tasdemir, Director of Business Development and Analytics at MDS ap
BI Journey of Rotana Hotel Management Corporation MDS ap
A presentation by the Corporate Vice President of Rotana Hotel Management Corporation about the company's Business Intelligence journey and how they shaped the future roadmap
(Turkish) SAP Forum 2017: ING Bank Başarı Hikayesi Sunumu - Kurumsal Bilgi Yö...MDS ap
ING Bank's presentation of the joint project with MDS ap - "Data Modeling in SDLC". The presentation was delivered at SAP Forum Istanbul 2017.
***
ING Bank ile gerçekleştireceğimiz sunumda
“Yazılım Geliştirme Hayat Döngüsü” içinde modellemenin yeri ve kuruma getirdiği avantajlar dile getirilecektir. ING Bank, MDS ap ve SAP PowerDesigner seçimlerini, veri modelleme
projelerini ve deneyimlerini aktaracaktır.
MEBIS 2017: Next Generation Banking AnalyticsMDS ap
Today's digital empowered customers are challenging the business world. They become increasing savvy in their search for the best offers; their expectations continue to rise; their choices are growing too. Effectively customers engagement based on Real-Time Insight is the new imperative for all banks today.
In this presentation, MDS ap demonstrates how the next generation marketing technology leverages real-time customer context to deliver the optimum customer experience.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
3. DATABASE MANAGEMENT
Web Server JavaScript
Graphic
Modeler
Data Virtualization ELT & Replication
Columnar
OLTP+OLAP
Multi-Core &
Parallelization
Advanced
Compression
Multi-tenancy Multi-Tier
Storage
Graph Predictive Search
Data
Quality
Series
Data
Business
Functions
Hadoop &
Spark Integration
Streaming
Analytics
Application Lifecycle
Management
High Availability &
Disaster Recovery
OpennessData
Modeling
Admin &
Security
Remote
Data Sync
Spatial
Text
Analytics
Fiori UX
ALM
</>
APPLICATION DEVELOPMENT DATA INTEGRATION & QUALITYADVANCED ANALYTICAL PROCESSING
SAP HANA Platform
The data management and application platform for all applications
SAP, ISV and Custom Applications
All Devices
OLTP + OLAPONE Open Platform ONE Copy of the Data
S A P H A N A P L A T F O R M
4. SAP SQL Anywhere
Product description
SAP SQLAnywhere is a comprehensive data management and
synchronization technology targeting embedded, remote/satellite,
mobile, and Internet of Things (IoT) environments.
Zero-admin, full-featured RDBMS
▪ Able to dynamically adjust to installed environments, automatically tune
performance, automate common administration tasks while delivering
impressive performance “out of the box”
Fully embeddable in ISV systems
▪ Rich SQL language, support for broad range of industry standard interfaces,
zero admin capabilities, wide range of deployment options
▪ High availability, FIPS security, Unix, Linux, Windows and iOS support
Bidirectional synchronization with enterprise DBMS systems
▪ Secure sync with SAP HANA, SAPASE, and third-party DMBS systems
5. SAP Adaptive Server Enterprise (SAP ASE)
Product description
SAP ASE is a high-performance relational enterprise database management
system that is designed for mission-critical, transaction-intensive
environments for custom-developed and SAP Business Suite applications with
reduced TCO.
Mission-critical, transaction-intensive workloads
Database engine focusing on eXtreme Online Transaction Processing (XOLTP) – leveraging
in-memory processing techniques for linear scalability – scale up versus scale out
Fewer resources used to achieve best performance with easier management
Trusted legacy for performance and robustness
Used to manage many of Wall Street’s largest trading environments
Used to manage over 10,000 customer systems running SAP Business Suite
High secure system with LDAP, SSL and Encryption support
Reduced TCO
Enterprise & Edge Edition with Built-in DR solution
Semantic Partitioning and Compression
Database Memscale, Workload Analyzer and Always-On options
6. SAP IQ
Product description
SAP IQ is a disk-backed columnar database, designed for analytics and data warehousing.
Performance
▪ 10x – 1000x faster queries over traditional, row-based DBMS
▪ High performance data loading
Scalability
▪ Store and analyze terabytes to petabytes of structured and
unstructured data
▪ Supports heavy ad-hoc query workloads with 1000s of users
concurrently
TCO
▪ Offers many deployment options: supports all major hardware and
OS platforms, both on premise and in cloud
▪ Easy to administer with minimal tuning after initial set up
7. SAP IQ technology across the SAP product portfolio
SAP HANA dynamic tiering
IQ technology has been integrated with the HANA database as
an extended storage disk tier for large volume, infrequently
accessed data.
SAP BW NLS
IQ technology serves as a low TCO, archive store for
SAP BW. Historical data is managed on line, with
excellent query performance.
SAP IQ next to SAP HANA for petabyte scale analytics
IQ manages petabytes of raw, structured data.Aggregates are
moved into SAP HANA for real-time processing.
SAP HANA
SAP IQ
SAP BW system
SAP ERP
data
SAP IQ
NLS
Historical
data
tabletable
SAP HANA Database
In-memory-store Extended store
Column Multistore table Extended
Partition Partition Partition
9. SAP ESP Architecture
Application
Transactions
External Databases
Referenc
e
Data
Historical
Data
Analytic
Data
Reporting/
BI Tools
Spreadsheets/
Visualization
Operational
Applications
HANA
InputAdapters
OutputAdapters
ESP Engine
Market
Data Feeds
Message
Bus
IT & Network
Monitoring
Internal
Event Streams
Complex Event Processing: “When 3 negative comments or
suspicious transactions occur in any 5 seconds in Istanbul,
check the comment/transaction and execute the workflow”
10. SAP Data Services
Data virtualization, data replication, data integration, data quality, and data profiling
Key capabilities
Access and extract structured and
unstructured data, SAP and third-party
sources, in batch or real time (message
type)
Transform, cleanse, match, and
consolidate data
Scale from single to multiple servers for all
volumes of data
Support wide variety of SAP and third-
party targets, on premise and in the cloud
Single Web-based administration and
operations user interface
Self contained lifecycle management utility
with version control system
▪
▪
▪
▪
▪
▪
11. SAP Data Hub
Simplify, understand, and govern the flow of data at scale
SAP Data Hub is a data operations (DataOps) management solution that enables data orchestration, pipelining, and
governance, as well as agile sharing of all data across a connected data landscape.
Governance and operations
▪
▪
▪
▪
Unified data landscape view
Data access and security
Data quality profiling
Lineage and impact analysis
Data pipelines
▪
▪
▪
Metadata repository and catalog
Data pipeline modeling
Data model lifecycle management
Data sharing and orchestration
▪
▪
▪
▪
Connectivity management
Workflow definition
Scheduling and monitoring
Enterprise application integration
12. SAP Information Steward – Key Capabilities
Profile, Assess, Monitor, Manage and Analyze Data Quality
SAP Business
Suite
SAP BW
develop information policies.
Databases
validation rules and cleansing
rules using profiling results.
Hadoop
quality task ownership of data
BI systems
ETL tools
quality issues with pre-loaded
templates
Delimited Files
Data Modeling
tools
Sources Data Discovery & Stewardship
5
Analyze data quality using
business value analysis to
quantify financial impact.
4
Monitor and resolve data
quality issues with pre-loade
3
Enable workflow for data
quality task ownership of da
assets.
2
Define business terms,
SAP
HANA
SAP 1.Discover
Information
Steward
Analyze 2.Define
4.Monitor 3.Workflow
1
Discover business glossary
and metadata. Formally
14. SAP BusinessObjects Business Intelligence suite
Simple Workflow/Architecture
DATA Platform and End-User Tools Access
Mobile DevicesOLAPRDBMS
Business
Intelligence
Platform
BrowsersERP SAP BW & EDW
SAP HANA
Platform
Embedded Enterprise
Content Portals
Unstructured data
Hadoop MS OfficeMS Excel
Enterprise and Ad Hoc Reporting
Applications &
Dashboards
Agile
Visualization
16. SAP Crystal Reports
For Highly Formatted Operational and Enterprise Reports
▪ ANY data
Ideal for
▪ Customer statements, invoices, POs, bills
▪ Operational reporting
▪ Embedded reporting in applications
Use Cases include
▪ 1 to Many
Design and Deploy
Pixel-perfect Reporting
Powerful API to Embed Reports
Optimized for High-volume Reporting
17. SAP BusinessObjects Web Intelligence
For Self-service, Ad-hoc Query and Reporting
▪ Corporate data via Universe
▪ HANA data
Ideal for
▪ Self-service reporting and rapid report creation
(market-leading with 25,000+ customers)
▪ Interactive analysis and reporting with no coding required
Use Cases Include
▪ Self-Service
▪ 1 to Many
Design and Deploy
Ad-hoc Reporting & Queries
Simplicity via the Semantic Layer
Drill down, Slice & Dice, & Customize
18. SAP BusinessObjects Lumira
For Visual Discovery and Storytelling by Business People of All Skills
Agility for Business Analysts
Instant Insight for Decision Makers
HTML5 Based with Prebuilt
Components
▪ ANY data: Corporate, Personal, HANA, BW, 3rd part, custom
Ideal for
▪ Visual data discovery
▪ Need to perform analysis on mashed-up data from many disparate sources
Use Cases include
▪ Self-Service
▪ 1 to Many
Design and Deploy
22. Predict
▪ Customers most likely to churn
▪ Propensity to buy
▪ What part is most likely to fail
▪ What activity is probably fraudulent
Forecast
▪ Future revenues
▪ Inventory demand
▪ Orders by segment
▪ Online ads and content demand
▪ Network performance
Optimize
▪ Recommended offers
▪ Marketing content
▪ Network or system infrastructure
SAP Predictive Analytics
Simple, Fast, and Accurate for Analysts and Data Scientists Alike
Data Preparation
Create 1000’s of derived
variables faster
Automated Modeling
Best performing model
automatically chosen
Breadth of Connectivity
Access departmental and
enterprise data
No Black Box
Support for R
Advanced PA
For the Data Scientist
23. directly
SAP Enable Now
Management Manager
The platform for cooperation, learning, and performance tracking
Role-based view and permission to the content production scenario, enabling collaboration in the creation of
content. It allows to role out content to end users and to access the content usage reports.
Content
Creation
Instant Producer
The intuituive process recorder
To create simulations for
informal knowledge transfer
and providing initial recordings
to content developers
Web Editor
Online editing of contents
Enables content editing
even without local
installation and
on mobile
Producer
The powerful authoring tool for
creating application training
to create, edit, maintain, localize,
organize and publish any SAP
Enable Now content.
Video
eCatt
SolmanDelivery Desktop Assistant/Web Assistant
The performance support assistant
in your live-system or web-interface
Both assistants are just player
components for EPSS content
Knowledge Portal
One direct access to all
information and links
Offer employees a
dedicated contact point
Scorm
Embed SAP
Enable Now
Contents in
an LMS