BW on SAP HANA Transformations, generated SAP HANA views, and integrating SAP HANA views were discussed. BW on SAP HANA Transformations use SAP HANA optimizations for BW staging. Generated views can be created via a pull mechanism from the SAP HANA modeler or push mechanism from BW. Views can be integrated into BW using composite providers or consumed in BW queries. Transitioning from pull to push views requires rebuilding views using composite providers.
Best Practices to Administer, Operate, and Monitor an SAP HANA SystemSAPinsider Events
Review this session from HANA 2015 in Las Vegas. Coming to Europe! www.HANA2015.com
Best Practices to Administer, Operate, and Monitor an SAP HANA System by Kurt Hollis, Deloitte
This session provides easy to understand, step-by-step instruction for operation and administration of SAP HANA post go-live. Through live demo and detailed instruction, attendees will:
· Learn how to use the SAP HANA studio for security, user management, credential management, high availability administration, system maintenance, and performance optimization
· Gain a comprehensive understanding of available SAP HANA platform lifecycle management tools, deployment options, and system relocation
· Get an introduction to SAP HANA HA/DR capabilities, and learn best practices for backup and recovery of the SAP HANA system
Table partitioning is a data organization scheme in which table data is divided across multiple storage objects called data partitions.
In SAP HANA database, it is possible to split column-store tables horizontally into disjunctive sub-tables or partitions. The SAP HANA database supports several redistribution operations that use complex algorithms to evaluate the current distribution and determine a better distribution depending on the situation. Partitioning is typically used in distributed systems, but it may also be beneficial for single-host systems. Partitioning is transparent for SQL queries and data manipulation language statements.
In a distributed SAP HANA system, tables are assigned to an index server on a particular host at their time of creation, but this assignment can be changed. In certain situations, it is even necessary.
In SAP HANA side-by-side implementation, SLT will stop replication when SAP HANA table reaches 2 billion records as a non-partitioned table cannot store more than 2 billion rows.
Advantages of partitioning:
+ Load balancing in a distributed system
+ Overcoming the size limitation of column-store tables
+ Parallelization
+ Partition pruning
+ Improved performance of the delta merge operation
+ Explicit partition handling
SAP HANA supports:
- Hash Partitioning
- Range Partitioning
- Round-robin Partitioning
Best Practices to Administer, Operate, and Monitor an SAP HANA SystemSAPinsider Events
Review this session from HANA 2015 in Las Vegas. Coming to Europe! www.HANA2015.com
Best Practices to Administer, Operate, and Monitor an SAP HANA System by Kurt Hollis, Deloitte
This session provides easy to understand, step-by-step instruction for operation and administration of SAP HANA post go-live. Through live demo and detailed instruction, attendees will:
· Learn how to use the SAP HANA studio for security, user management, credential management, high availability administration, system maintenance, and performance optimization
· Gain a comprehensive understanding of available SAP HANA platform lifecycle management tools, deployment options, and system relocation
· Get an introduction to SAP HANA HA/DR capabilities, and learn best practices for backup and recovery of the SAP HANA system
Table partitioning is a data organization scheme in which table data is divided across multiple storage objects called data partitions.
In SAP HANA database, it is possible to split column-store tables horizontally into disjunctive sub-tables or partitions. The SAP HANA database supports several redistribution operations that use complex algorithms to evaluate the current distribution and determine a better distribution depending on the situation. Partitioning is typically used in distributed systems, but it may also be beneficial for single-host systems. Partitioning is transparent for SQL queries and data manipulation language statements.
In a distributed SAP HANA system, tables are assigned to an index server on a particular host at their time of creation, but this assignment can be changed. In certain situations, it is even necessary.
In SAP HANA side-by-side implementation, SLT will stop replication when SAP HANA table reaches 2 billion records as a non-partitioned table cannot store more than 2 billion rows.
Advantages of partitioning:
+ Load balancing in a distributed system
+ Overcoming the size limitation of column-store tables
+ Parallelization
+ Partition pruning
+ Improved performance of the delta merge operation
+ Explicit partition handling
SAP HANA supports:
- Hash Partitioning
- Range Partitioning
- Round-robin Partitioning
How to free up memory in HANA? Is it possible to unload Table from memory?
- Yes, it is possible. SAP HANA Appliance can be used in smarter way to achieve maximum out of it.
In a typical business scenario, one SAP HANA appliance is used for DEV, TRN, TST environments. So, definitely there will be a major issue in this case – How to handle memory as memory is limited in that particular HANA appliance?
Under normal circumstances, the SAP HANA database manages the loading and unloading of tables into and from memory independently. Actually, the main aim of SAP HANA database is to keep all relevant data in memory.
But, one can manually load and unload individual tables if necessary. How?....It’s simple, and it can be done from SAP HANA Studio itself.
Select the table by right click and choose the option “Unload …”
And later, manually load the table into memory again, if needed.
Moreover, if somebody fires the query associated to the same unloaded table, SAP HANA will pick & load the same table into memory FULL or PARTIALLY, purely depending upon the executed query.
Again, if one needs to free up memory, he/she can manually trigger the delta merge operation for a column table manually in SAP HANA Studio. The delta merge operation is related to the memory management concept of the column store, i.e, the part of the SAP HANA Database that manages data organized in columns in memory.
So, options are as follows:
“Unload …” – Free up memory by unloading table from memory
“Load …” – Loading the table into memory
“Merge…” – Triggering delta merge operation for a column table
So what is SAP HANA? How can it help my area (Line of Business) and our business overall!. Presentation lays out BASICS and how can help users enable their area/business "Real time".
SAP BW/4HANA - The Intelligent Enterprise Data WarehouseStridely Solutions
SAP BW4HANA is next generation of SAP Business Warehouse tailored to SAP HANA helps to consolidate the data across the enterprise to get a consistent and agreed view with flexible data management capabilities in a modernized user experience.
Expect the same simplicity from your business software that consumers are now experiencing with the convenience of multi-platform accessible internet applications? This complimentary presentation will introduce you to the unmatched responsiveness of the personalized and role-based Fiori UX platform. We’ll also explain how SAP Fiori has combined modern design principles with the power of SAP HANA to completely reinvent the user experience.
http://codingtutor.de/videotraining/core-data-im-detail/?coupon=coredata
Die Präsentation ist Teil der Einführung in Core Data in meinem Kurs Core Data mit Swift im Detail.
Es geht um den Core Data Stack und die Bestandteile wie den Managed Context (NSManagedObjectContext), die Managed Objects (NSManagedObject), den Persistent Store Coordinator, Persistent Store und so weiter.
Außerdem werden wichtige Begriffe erklärt wie atomic / non-atomic Stores, Du lernst außerdem Predicates, FetchRequests und ähnliches kennen.
How to free up memory in HANA? Is it possible to unload Table from memory?
- Yes, it is possible. SAP HANA Appliance can be used in smarter way to achieve maximum out of it.
In a typical business scenario, one SAP HANA appliance is used for DEV, TRN, TST environments. So, definitely there will be a major issue in this case – How to handle memory as memory is limited in that particular HANA appliance?
Under normal circumstances, the SAP HANA database manages the loading and unloading of tables into and from memory independently. Actually, the main aim of SAP HANA database is to keep all relevant data in memory.
But, one can manually load and unload individual tables if necessary. How?....It’s simple, and it can be done from SAP HANA Studio itself.
Select the table by right click and choose the option “Unload …”
And later, manually load the table into memory again, if needed.
Moreover, if somebody fires the query associated to the same unloaded table, SAP HANA will pick & load the same table into memory FULL or PARTIALLY, purely depending upon the executed query.
Again, if one needs to free up memory, he/she can manually trigger the delta merge operation for a column table manually in SAP HANA Studio. The delta merge operation is related to the memory management concept of the column store, i.e, the part of the SAP HANA Database that manages data organized in columns in memory.
So, options are as follows:
“Unload …” – Free up memory by unloading table from memory
“Load …” – Loading the table into memory
“Merge…” – Triggering delta merge operation for a column table
So what is SAP HANA? How can it help my area (Line of Business) and our business overall!. Presentation lays out BASICS and how can help users enable their area/business "Real time".
SAP BW/4HANA - The Intelligent Enterprise Data WarehouseStridely Solutions
SAP BW4HANA is next generation of SAP Business Warehouse tailored to SAP HANA helps to consolidate the data across the enterprise to get a consistent and agreed view with flexible data management capabilities in a modernized user experience.
Expect the same simplicity from your business software that consumers are now experiencing with the convenience of multi-platform accessible internet applications? This complimentary presentation will introduce you to the unmatched responsiveness of the personalized and role-based Fiori UX platform. We’ll also explain how SAP Fiori has combined modern design principles with the power of SAP HANA to completely reinvent the user experience.
http://codingtutor.de/videotraining/core-data-im-detail/?coupon=coredata
Die Präsentation ist Teil der Einführung in Core Data in meinem Kurs Core Data mit Swift im Detail.
Es geht um den Core Data Stack und die Bestandteile wie den Managed Context (NSManagedObjectContext), die Managed Objects (NSManagedObject), den Persistent Store Coordinator, Persistent Store und so weiter.
Außerdem werden wichtige Begriffe erklärt wie atomic / non-atomic Stores, Du lernst außerdem Predicates, FetchRequests und ähnliches kennen.
EclipseCon France 2016: Eclipse Speaks PHPKaloyan Raev
Have you wondered what tools Eclipse can provide for PHP developers? Join this session for an overview of the PHP Development Tools (PDT) project and the ecosystem around it. You will learn how to get started developing PHP code with Eclipse and get a taste of the main features provided by PDT. We will also look at the rich ecosystems of community plugins, both free and commercial, which can make your Eclipse IDE a complete PHP development environment.
Boosting the performance of your Eclipse IDE - EclipseCon France 2016Karsten Thoms
A compilation of hints on how to improve the performance of the Eclipse IDE. Some hints are more general, others are Eclipse specific.
This is the slidedeck used at EclipseCon France 2016.
FOSDEM 2017 - A different Lua JIT using Eclipse OMRCharlie Gracie
This talks discuss our experiments with using the Eclipse OMR JitBuilder in the Lua 5.3. This talk gives an overview of the Eclipse OMR technology, Jit Builder, the work to consume the technology in Lua 5.3, current results and next steps.
The Eclipse IDE - The Force Awakens (Devoxx France 2016)mikaelbarbero
What is happening in the Eclipse IDE landscape? What's new in the 2015 and 2016 releases (codenames Mars and Neon) and what's cooking for 2017 (codename Oxygen). Presented at Devoxx France 2016.
See Pay Social 1st Payment for social media. You can accepted Credit Card, Debit Card, Instalment, PayPay, BitCoin, Counter Payment and Mobile Payment just simple link.
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.
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
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.
SAP HANA Cloud Platform is a PaaS offering from SAP, targeted at developers. It provides out-of-the-box Java EE 6 web certified runtime, enabling running applications in the cloud. Free perpetual developer accounts are available at https://hana.ondemand.com
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.
Spark Usage in Enterprise Business OperationsSAP Technology
At Spark Summit East 2016, SAP’s Ken Tsai highlighted how SAP HANA Vora extends Apache Spark to provide OLAP modeling capabilities and real-time query federation to enterprise data. You will learn real-world use cases where instant insight from a combination of enterprise and Hadoop data make an impact on everyday business operations.
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.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
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.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
28. Public
Generated SAP HANA Views
SAP HANA
SAP BW
Repository
Sources
BI Clients
Data Warehousing
SAP
HANA
Views
gen.
SAP
HANA
Views
SAP
HANA
Views
Data Acquisition
SAP HANA
SAP BW
Repository
Sources
Data Warehousing
gen.
SAP
HANA
Views
Data Acquisition
Analytic Engine
BW Query BW Query
gen.
SAP
HANA
Views
Workspaces
BI Clients
53. Public
Integrating SAP HANA Views
SAP HANA
SAP BW
Repository
BI Clients
Data Warehousing
Data Acquisition
Analytic Engine
BW Query
Composite Provider
SAP
HANA
Views
Sources
SAP HANA
SAP BW
Repository
Sources
BI Clients
Analytic Engine
BW Query
Composite Provider
SAP
HANA
Views