What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysNEWYORKSYS-IT SOLUTIONS
NEWYORKSYSTRAINING are destined to offer quality IT online training and comprehensive IT consulting services with complete business service delivery orientation.
What is OLAP -Data Warehouse Concepts - IT Online Training @ NewyorksysNEWYORKSYS-IT SOLUTIONS
NEWYORKSYSTRAINING are destined to offer quality IT online training and comprehensive IT consulting services with complete business service delivery orientation.
Data Science Training in Chennai at Credo Systemz provided by experienced Data Scientists. Our Data Science Course module is completely designed about how to analyze Big Data using R programming and Hadoop. Credo Systemz is the Best place to learn Data Science with Python Training in Chennai. Data Science course certification will help you be a professional Data Scientist. If you really Interested to Learn Best Data Science course in Chennai, then Credo Systemz is the Right place.
Our Best Data Science Training kick starts from statistics and insights of the large volume of data. So that we ranked as Best Data Science Training Institute in Chennai, Velachery. At the end of the course, you become a Data Scientist.
Checkout: http://bit.ly/2Mub6xP
OLTPBenchmark is a multi-threaded load generator. The framework is designed to be able to produce variable rate, variable mixture load against any JDBC-enabled relational database. The framework also provides data collection features, e.g., per-transaction-type latency and throughput logs.
Together with the framework we provide the following OLTP/Web benchmarks:
TPC-C
Wikipedia
Synthetic Resource Stresser
Twitter
Epinions.com
TATP
AuctionMark
SEATS
YCSB
JPAB (Hibernate)
CH-benCHmark
Voter (Japanese "American Idol")
SIBench (Snapshot Isolation)
SmallBank
LinkBench
CH-benCHmark
Designing high performance datawarehouseUday Kothari
Just when the world of “Data 1.0” showed some signs of maturing; the “Outside In” driven demands seem to have already initiated some the disruptive changes to the data landscape. Parallel growth in volume, velocity and variety of data coupled with incessant war on finding newer insights and value from data has posed a Big Question: Is Your Data Warehouse Relevant?
In short, the surrounding changes happening real time is the new “Data 2.0”. It is characterized by feeding the ever hungry minds with sharper insights whether it is related to regulation, finance, corporate action, risk management or purely aimed at improving operational efficiencies. The source in this new “Data 2.0” has to be commensurate to the outside in demands from customers, regulators, stakeholders and business users; and hence, you would need a high relformance (relevance + performance) data warehouse which will be relevant to your business eco-system and will have the power to scale exponentially.
We starts this webinar by giving the audiences a sneak preview of what happened in the Data 1.0 world & which characteristics are shaping the new Data 2.0 world. It then delves deep on the challenges that growing data volumes have posed to the Data warehouse teams. It also presents the audiences some of the practical and proven methodologies to address these performance challenges. Finally, in the end it will highlight some of the thought provoking ways to turbo charge your data warehouse related initiatives by leveraging some of the newer technologies like Hadoop. Overall, the webinar will educate audiences with building high performance and relevant data warehouses which is capable of meeting the newer demands while significantly driving down the total cost of ownership.
Data warehouses are time variant in the sense because they maintain both
historical and (nearly) current data. Operational databases, in contrast, contain only the most
current, up-to-date data values. Furthermore, they generally maintain this information for not
more than a year. In case of DWs, these are generally loaded from the operational databases
daily, weekly, or monthly which is then typically maintained for a long period.
Working with the vast variety of data out there can be a huge challenge for organizations. We believe that a “one size does not fit all” solution is required to work with such data. The BigDAWG polystore is a federated DB system for multiple, disparate data models. It supports the notions of location transparency and semantic completeness through islands of information which support a data model, query language and candidate set of DB engines. A prototype of the BigDAWG system has shown great promise when applied to diverse medical data.
OLAP Basics and Fundamentals by Bharat Kalia Bharat Kalia
OLAP is a category of software technology that enables analysts, managers, and executives to gain insight into the data through fast, consistent, interactive, access in a wide variety of possible views of information that has been transformed from raw data to reflect the real dimensionality of the enterprise as understood by the user.
Introduction about Data Stage ,
Difference between Data Stage 7.5.2 and 8.0.1,
What's new in Data Stage 8.0.1? ,
What is way ahead in Data Stage? ,
IBM Information Server architecture ,
Datastage within the IBM Information Server architecture ,
Difference between Server Jobs and Parallel Jobs
Difference between Pipeline Parallelism and Partition, Parallelism ,
Partition techniques (Round Robin, Random,
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Data Science Training in Chennai at Credo Systemz provided by experienced Data Scientists. Our Data Science Course module is completely designed about how to analyze Big Data using R programming and Hadoop. Credo Systemz is the Best place to learn Data Science with Python Training in Chennai. Data Science course certification will help you be a professional Data Scientist. If you really Interested to Learn Best Data Science course in Chennai, then Credo Systemz is the Right place.
Our Best Data Science Training kick starts from statistics and insights of the large volume of data. So that we ranked as Best Data Science Training Institute in Chennai, Velachery. At the end of the course, you become a Data Scientist.
Checkout: http://bit.ly/2Mub6xP
OLTPBenchmark is a multi-threaded load generator. The framework is designed to be able to produce variable rate, variable mixture load against any JDBC-enabled relational database. The framework also provides data collection features, e.g., per-transaction-type latency and throughput logs.
Together with the framework we provide the following OLTP/Web benchmarks:
TPC-C
Wikipedia
Synthetic Resource Stresser
Twitter
Epinions.com
TATP
AuctionMark
SEATS
YCSB
JPAB (Hibernate)
CH-benCHmark
Voter (Japanese "American Idol")
SIBench (Snapshot Isolation)
SmallBank
LinkBench
CH-benCHmark
Designing high performance datawarehouseUday Kothari
Just when the world of “Data 1.0” showed some signs of maturing; the “Outside In” driven demands seem to have already initiated some the disruptive changes to the data landscape. Parallel growth in volume, velocity and variety of data coupled with incessant war on finding newer insights and value from data has posed a Big Question: Is Your Data Warehouse Relevant?
In short, the surrounding changes happening real time is the new “Data 2.0”. It is characterized by feeding the ever hungry minds with sharper insights whether it is related to regulation, finance, corporate action, risk management or purely aimed at improving operational efficiencies. The source in this new “Data 2.0” has to be commensurate to the outside in demands from customers, regulators, stakeholders and business users; and hence, you would need a high relformance (relevance + performance) data warehouse which will be relevant to your business eco-system and will have the power to scale exponentially.
We starts this webinar by giving the audiences a sneak preview of what happened in the Data 1.0 world & which characteristics are shaping the new Data 2.0 world. It then delves deep on the challenges that growing data volumes have posed to the Data warehouse teams. It also presents the audiences some of the practical and proven methodologies to address these performance challenges. Finally, in the end it will highlight some of the thought provoking ways to turbo charge your data warehouse related initiatives by leveraging some of the newer technologies like Hadoop. Overall, the webinar will educate audiences with building high performance and relevant data warehouses which is capable of meeting the newer demands while significantly driving down the total cost of ownership.
Data warehouses are time variant in the sense because they maintain both
historical and (nearly) current data. Operational databases, in contrast, contain only the most
current, up-to-date data values. Furthermore, they generally maintain this information for not
more than a year. In case of DWs, these are generally loaded from the operational databases
daily, weekly, or monthly which is then typically maintained for a long period.
Working with the vast variety of data out there can be a huge challenge for organizations. We believe that a “one size does not fit all” solution is required to work with such data. The BigDAWG polystore is a federated DB system for multiple, disparate data models. It supports the notions of location transparency and semantic completeness through islands of information which support a data model, query language and candidate set of DB engines. A prototype of the BigDAWG system has shown great promise when applied to diverse medical data.
OLAP Basics and Fundamentals by Bharat Kalia Bharat Kalia
OLAP is a category of software technology that enables analysts, managers, and executives to gain insight into the data through fast, consistent, interactive, access in a wide variety of possible views of information that has been transformed from raw data to reflect the real dimensionality of the enterprise as understood by the user.
Introduction about Data Stage ,
Difference between Data Stage 7.5.2 and 8.0.1,
What's new in Data Stage 8.0.1? ,
What is way ahead in Data Stage? ,
IBM Information Server architecture ,
Datastage within the IBM Information Server architecture ,
Difference between Server Jobs and Parallel Jobs
Difference between Pipeline Parallelism and Partition, Parallelism ,
Partition techniques (Round Robin, Random,
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
BI is the “Gathering of data from multiple sources to present it in a way that allows executives to make better business decisions”. I will describe in more detail exactly what BI is, what encompasses the Microsoft BI stack, why it is so popular, and why a BI career pays so much. I will review specific examples from previous projects of mine that show the benefits of BI and its huge return-on-investment. I'll go into detail on the components of a BI solution, and I will discuss key concepts for successfully implementing BI in your organization.
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
What is business intelligence? Where have we been, where are we now, and where are we going? These slides provide a brief history of business intelligence, enjoy.
Le but est de partager avec le public les connaissances et expériences éprouvées dans la conception, la mise en œuvre et l'exécution de plateformes DBaaS. La présentation comprend des exemples et des explications sur les environnements de base de données consolidées délivrant des performances sans compromis, l'évolutivité et la flexibilité en liaison avec le "time-to-market" et la rentabilité.
Building High Performance MySQL Query Systems and Analytic ApplicationsCalpont
This presentation describes how to build fast running MySQL applications that service read-based systems. It takes a special look at column databases and Calpont's InfiniDB
Building High Performance MySql Query Systems And Analytic Applicationsguest40cda0b
This presentation gives practical advice and tips on how to build high-performance read intensive databases, and discusses innovations such as column-oriented databases
Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.
Enabling a Data Mesh Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3rwWhyv
The Data Mesh architectural design was first proposed in 2019 by Zhamak Dehghani, principal technology consultant at Thoughtworks, a technology company that is closely associated with the development of distributed agile methodology. A data mesh is a distributed, de-centralized data infrastructure in which multiple autonomous domains manage and expose their own data, called “data products,” to the rest of the organization.
Organizations leverage data mesh architecture when they experience shortcomings in highly centralized architectures, such as the lack domain-specific expertise in data teams, the inflexibility of centralized data repositories in meeting the specific needs of different departments within large organizations, and the slow nature of centralized data infrastructures in provisioning data and responding to changes.
In this session, Pablo Alvarez, Global Director of Product Management at Denodo, explains how data virtualization is your best bet for implementing an effective data mesh architecture.
You will learn:
- How data mesh architecture not only enables better performance and agility, but also self-service data access
- The requirements for “data products” in the data mesh world, and how data virtualization supports them
- How data virtualization enables domains in a data mesh to be truly autonomous
- Why a data lake is not automatically a data mesh
- How to implement a simple, functional data mesh architecture using data virtualization
Learn about IBM FlashSystem in OLAP Database Environments. IBM FlashSystem storage systems deliver high performance and efficiency in an easy to integrate offering so that businesses can more readily compete in the market.FlashSystem storage systems transform the data center environment and enhance performance and resource consolidation to gain the most from business processes and critical applications. For more information on IBM FlashSystem, visit http://ibm.co/10KodHl.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Compare and contrast big data processing platforms RDBMS, Hadoop, and Spark. pros and cons of each platform are discussed. Business use cases are also included.
With tremendous growth in big data, low latency and high throughput is the key ask for many big data application. The in-memory technology market is growing rapidly. We see that traditional database vendors are extending their platform to support in-memory capability and others are offering in-memory data grid and NoSQL solutions for high performance and scalability. In this talk, we will share our point of view on In-Memory Data Grid and NoSQL technology. It is all about how to build architecture that meets low latency and high throughput requirements. We will share our thoughts and experiences in implementing the use cases that demands low latency & high throughput with inherent scale-out features.
You will learn about how in-memory data grid and NoSQL is used to meet the low latency and high throughput needs and choosing in-memory technology that is good fit for your use case.
The Top 5 Reasons to Deploy Your Applications on Oracle RACMarkus Michalewicz
A presentation for developers, DBAs, and managers. This presentation was first presented in course of the AIOUG Maximum Availability Architecture (MAA)-focus month August 2021. The first reason might surprise you!
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
2. OLAP tools are categorized according to the
architecture used to store and process multi-
dimensional data.
There are four main categories:
Multi-dimensional OLAP (MOLAP)
Relational OLAP (ROLAP)
Hybrid OLAP (HOLAP)
Desktop OLAP (DOLAP)
2
3. Use specialized data structures and multi-
dimensional Database Management Systems
(MDDBMSs) to organize, navigate, and
analyze data.
Data is typically aggregated and stored
according to predicted usage to enhance
query performance.
3
4. Use array technology and efficient storage
techniques that minimize the disk space
requirements through sparse data
management.
Provides excellent performance when data is
used as designed, and the focus is on data for
a specific decision-support application.
4
5. Traditionally, require a tight coupling with the
application layer and presentation layer.
Recent trends segregate the OLAP from the
data structures through the use of published
application programming interfaces (APIs).
5
7. MOLAP products require a different set of
skills and tools to build and maintain the
database, thus increasing the cost and
complexity of support.
7
8. Observe la
normalización
de los miembros
Observe el
almacenamiento del
array en disco ó RAM
8
9. Fastest-growing style of OLAP technology
due to requirements to analyze ever-
increasing amounts of data and the
realization that users cannot store all the
data they require in MOLAP databases.
9
10. Supports RDBMS products using a metadata
layer - avoids need to create a static multi-
dimensional data structure - facilitates the
creation of multiple multi-dimensional views
of the two-dimensional relation.
10
11. To improve performance, some products use
SQL engines to support the complexity of
multi-dimensional analysis, while others
recommend, or require, the use of highly
denormalized database designs such as the
star schema.
11
13. Performance problems associated with the
processing of complex queries that require
multiple passes through the relational data.
Middleware to facilitate the development of
multi-dimensional applications. (Software
that converts the two-dimensional relation
into a multi-dimensional structure).
13
14. Provide limited analysis capability, either
directly against RDBMS products, or by using
an intermediate MOLAP server.
Deliver selected data directly from the DBMS
or via a MOLAP server to the desktop (or
local server) in the form of a datacube, where
it is stored, analyzed, and maintained locally.
14
15. Promoted as being relatively simple to install
and administer with reduced cost and
maintenance.
15
17. Architecture results in significant data
redundancy and may cause problems for
networks that support many users.
Ability of each user to build a custom
datacube may cause a lack of data
consistency among users.
Only a limited amount of data can be
efficiently maintained.
17
18. Store the OLAP data in client-based files and
support multi-dimensional processing using a
client multi-dimensional engine.
Requires that relatively small extracts of data
are held on client machines. They may be
distributed in advance, or created on demand
(possibly through the Web).
18
19. As with multi-dimensional databases on the
server, OLAP data may be held on disk or in
RAM, however, some DOLAP products allow
only read access.
Most vendors of DOLAP exploit the power of
desktop PC to perform some, if not most,
multi-dimensional calculations.
19
20. The administration of a DOLAP database is
typically performed by a central server or
processing routine that prepares data cubes
or sets of data for each user.
Once the basic processing is done, each user
can then access their portion of the data.
20
22. Provision of appropriate security controls to
support all parts of the DOLAP environment.
Since the data is physically extracted from
the system, security is generally
implemented by limiting the information
compiled into each cube. Once each cube is
uploaded to the user's desktop, all additional
meta data becomes the property of the local
user.
22
23. Reduction in the effort involved in deploying
and maintaining the DOLAP tools. Some
DOLAP vendors now provide a range of
alternative ways of deploying OLAP data
such as through e-mail, the Web or using
traditional client/server architecture.
Current trends are towards thin client
machines.
23
24. Efraim Turban. Business Intelligence. Prentice
Hall.2008.