The document discusses new approaches for data modeling with SAP HANA, including developing with the SAP Web IDE for SAP HANA and using the graphical CDS editor. It highlights converting existing views to calculation views and leveraging the new development environment and tools.
SAP Inside Track NL talk by Sefan Linders
SAP HANA SQL DW – What’s so special?
What makes the SAP HANA SQL DW so special? Is it the native CI/CD support? The complete web based approach? Or is it just as special as all other SQL DWs out there? Sefan will guide you through what it is, and what is new with the latest DW Foundation service pack and Web IDE Feature Pack.
Building Custom Advanced Analytics Applications with SAP HANASAP Technology
View the presentation from Greg Chase, Sr. Director, SAP HANA Customer Innovation, at the SAP Insider HANA 2014 conference in Orlando.
Learn how SAP is Building Differentiating Applications with SAP HANA to improve your company's economic moat. Using SAP HANA, we are achieving innovation and differentiating apps for your company and customers.
Also gain insight into SAP River for SAP HANA which allows rapid development of SAP HANA native applications and fast invention.
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.
Agenda:
SAP HANA Development Overview
SAP HANA XS Technical Services (XS)
SAP HANA Studio Development Perspective
Browser Based Development Tools
SAP HANA Native Development Model
Introducing River
SUSE Technology Overview
SAP PartnerEdge for Application Development
Q&A
In this presentation you will learn about the enhancements and new capabilities of SAP HANA View Modeling. A specific focus targets Calculation View Modeling capabilities in SAP HANA Studio as well as the SAP HANA Web-based Development Workbench. Further conversion tools for Attribute- and Analytic Views will be introduced and we will outline the Calculation View StarJoin multidimensional scenario functional- as well as analytic processing-capabilities.
Definition - What does SAP HANA mean?
SAP HANA is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk. This allows the application to provide instantaneous results from customer transactions and data analyses.
HANA stands for high-performance analytic appliance.
SUMTWO explains SAP HANA
SAP HANA is designed to process structured data from relational databases, both SAP and non-SAP, and applications and other systems rapidly. It is capable of using three styles of data replication depending on the source of the data - log-based, ETL-based and trigger-based. The relocated structured data is stored directly in memory. Because of this, data can be accessed quickly in real time by the applications that use HANA.
SAP HANA supports various use cases for real-time analytics. Some examples include:
•Monitoring and optimization of telecommunications network
•Supply chain and retail optimization
•Fraud detection and security
•Forecasting and profitability reporting
•Energy use optimization and monitoring
The heart of SAP HANA Enterprise 1.0 is the SAP In-Memory Database 1.0, a massively parallel processing data store that melds row-based, column-based, and object-based storage techniques. Other components of SAP HANA Enterprise 1.0 include:
• SAP In-Memory Computing Studio,
• SAP Host Agent 7.2,
• SAPCAR 7.10,
• Sybase Replication Server 15,
• SAP HANA Load Controller 1.00, and,
• SAP Landscape Transformation 1 - SHC for ABA.
SAP Inside Track NL talk by Sefan Linders
SAP HANA SQL DW – What’s so special?
What makes the SAP HANA SQL DW so special? Is it the native CI/CD support? The complete web based approach? Or is it just as special as all other SQL DWs out there? Sefan will guide you through what it is, and what is new with the latest DW Foundation service pack and Web IDE Feature Pack.
Building Custom Advanced Analytics Applications with SAP HANASAP Technology
View the presentation from Greg Chase, Sr. Director, SAP HANA Customer Innovation, at the SAP Insider HANA 2014 conference in Orlando.
Learn how SAP is Building Differentiating Applications with SAP HANA to improve your company's economic moat. Using SAP HANA, we are achieving innovation and differentiating apps for your company and customers.
Also gain insight into SAP River for SAP HANA which allows rapid development of SAP HANA native applications and fast invention.
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.
Agenda:
SAP HANA Development Overview
SAP HANA XS Technical Services (XS)
SAP HANA Studio Development Perspective
Browser Based Development Tools
SAP HANA Native Development Model
Introducing River
SUSE Technology Overview
SAP PartnerEdge for Application Development
Q&A
In this presentation you will learn about the enhancements and new capabilities of SAP HANA View Modeling. A specific focus targets Calculation View Modeling capabilities in SAP HANA Studio as well as the SAP HANA Web-based Development Workbench. Further conversion tools for Attribute- and Analytic Views will be introduced and we will outline the Calculation View StarJoin multidimensional scenario functional- as well as analytic processing-capabilities.
Definition - What does SAP HANA mean?
SAP HANA is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk. This allows the application to provide instantaneous results from customer transactions and data analyses.
HANA stands for high-performance analytic appliance.
SUMTWO explains SAP HANA
SAP HANA is designed to process structured data from relational databases, both SAP and non-SAP, and applications and other systems rapidly. It is capable of using three styles of data replication depending on the source of the data - log-based, ETL-based and trigger-based. The relocated structured data is stored directly in memory. Because of this, data can be accessed quickly in real time by the applications that use HANA.
SAP HANA supports various use cases for real-time analytics. Some examples include:
•Monitoring and optimization of telecommunications network
•Supply chain and retail optimization
•Fraud detection and security
•Forecasting and profitability reporting
•Energy use optimization and monitoring
The heart of SAP HANA Enterprise 1.0 is the SAP In-Memory Database 1.0, a massively parallel processing data store that melds row-based, column-based, and object-based storage techniques. Other components of SAP HANA Enterprise 1.0 include:
• SAP In-Memory Computing Studio,
• SAP Host Agent 7.2,
• SAPCAR 7.10,
• Sybase Replication Server 15,
• SAP HANA Load Controller 1.00, and,
• SAP Landscape Transformation 1 - SHC for ABA.
#askSAP Analytics Innovations Community Call: Innovation in Core BI Solutions...SAP Analytics
Where is SAP BusinessObjects BI headed, and how will your organization benefit?
See how SAP is delivering on its commitment to innovate its business intelligence (BI) applications. With SAP BusinessObjects BI 4.2 now available, now is a perfect time to explore what this new release has to offer and hear about announcements made at SAPPHIRE NOW 2016.
SAP analytics as enabler for the intelligent enterprise (Iver van de Zand)Twan van den Broek
SAP Inside Track NL talk by Iver van de Zand
The session “SAP Analytics Cloud as enabler for the Intelligent Enterprise“ will provide you with a technical outlook on how SAP has evolved SAP Analytics Cloud into a tool that is at the core of SAP’s Intelligent Enterprise. Iver van de Zand – Global Head Analytics & Leonardo PreSales – will share the latest SAC evolutions as well as provide you with a detailed outlook on what you can expect on short notice”
Our experts from SAP HANA Cloud product management Analytics will provide you an overview on SAP HANA Cloud Platform Analytics and answer your questions related to this service.
During the session, we will endeavor to identify and answer the questions which we deem to offer both high priority and practically useful opportunities for problem resolution.
How to design web intelligence reports that behave like real dashboardsWiiisdom
Everyone knows that SAP BusinessObjects Web Intelligence is synonymous with ad-hoc querying and interactive reporting. But not everyone knows that the Web Intelligence toolkit can also be used for dashboards.
Join SAP’s Pascal Gaulin (BI Product Expert, Web Intelligence) and Gregory Botticchio (BI Product Manager, Web Intelligence) as they demonstrate how to create powerful dashboards using rich and versatile, modern Web Intelligence visualization features.
Get the inside scoop of the future innovations of the SAP BusinessObjects BI 4.3 platform: hybrid world, new BI Launchpad interface, simplified maintenance, as well as other exciting innovations.
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...SAP Analytics
Learn how SAP BW/4HANA delivers big data warehouse solutions that meet your current and future business analytics needs in a rapidly changing data landscape and increase your organization’s success in the next generation of business.
SAP Activate
Speed up your SAP S/4HANA deployment and spend more time innovating with SAP Activate
SAP Activate gives you the freedom to get up and running quickly and to innovate continuously with SAP S/4HANA. Combining SAP Best Practices, guided configuration, and optimized agile methodology, SAP Activate is the quickest way to simplify and streamline your enterprise operations with SAP S/4HANA.
Cloud for Analytics (a.k.a. SAP ORCA - "Project Orca") is a cloud-based offering from SAP that's slated to arrive in the fourth quarter of this year (2015)
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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.