Search results “Oracle oltp olap”
OLTP vs OLAP Databases | Oracle DBA Tutorials for the Beginners | RR TECHNOSOFT
RR TECHNOSOFT provide Oracle DBA Training in Ameerpet Hyderabad. Get Oracle DBA Tutorial Videos for the Beginners on real time scenarios and issues. Take a step by step learning modules and become an expert Oracle DBA with our professional trainer. Contact us for more information Visit Us : http://www.rrtechnosoft.co.in/ Email Us: [email protected] Phone: (+91) - 9542535632
Datawarehousing : OLTP Vs OLAP
In this tutorial, you 'll learn what is the difference between OLAP and OLTP. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons. The data stored in the warehouse is uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before it is used in the DW for reporting. The typical extract-transform-load (ETL)-based data warehouse uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups often called dimensions and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data.[4] This definition of the data warehouse focuses on data storage. The main source of the data is cleaned, transformed, cataloged and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support.[5] However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform and load data into the repository, and tools to manage and retrieve metadata.
Views: 35235 radhikaravikumar
What is OLAP?
This video explores some of OLAP's history, and where this solution might be applicable. We also look at situations where OLAP might not be a fit. Additionally, we investigate an alternative/complement called a Relational Dimensional Model. To Talk with a Specialist go to: http://www.intricity.com/intricity101/
Views: 369498 Intricity101
What is OLTP & OLAP |  Data Warehouse Tutorial | Data Warehousing Concepts | Mr.Vijay Kumar
Data Warehouse Tutorial | Data Warehousing Concepts | Mr.Vijay Kumar Datawarehousing : OLTP Vs OLAP What is OLAP? What is OLTP? ►For Registration : https://goo.gl/r6kJbB ►Call: +91-8179191999 ► Visit Our Website: http://nareshit.in/ http://nareshit.com/ ► About NareshIT: "Naresh IT is the Best Software Training Institute for Hadoop, Salesforce, AWS, DevOps, Sprak, Data Science, Python, Tableau, RPA ,Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in Hyderabad, Chennai and Vijayawada, India which provides online and classroom training classes" ►For Registration : https://goo.gl/r6kJbB ►Call: India- 8179191999, USA- 404-232-9879 Email: [email protected] ►Our Online Training Features: 1.Training with Real-Time Experts 2.Industry Specific Scenario’s 3.Flexible Timings 4.Soft Copy of Material 5.Share Video's of each and every session. Check The Below Links: ►For Course Reg : https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitech ► Visit Our Website: http://nareshit.in/ http://nareshit.com/
Views: 9275 Naresh i Technologies
OLAP and Data Modeling Concepts
This video provides a quick tutorial on OLAP and Multidimensional Data Modeling and illustrates the value that OLAP provides when performing data analysis
Views: 2387 eCapital Advisors
003 Oracle DBA Complete Tutorial - OLTP vs OLAP Databases ( By MrMerchant Co. )
Oracle Database Administrator ( Oracle DBA ) Complete Tutorial. Database Administration field has lot of scope in Future because in today's world everything runs on data let says server, internet, mobile phones, bank account, books etc.... 003 Oracle DBA Complete Tutorial - OLTP vs OLAP Databases ( By MrMerchant Co. ) Hope you like this video. Keep in touch with us and share this video with your friends. Like | Comment | Share | Subscribe |.
Views: 34 MrMerchant Co.
OLAP or OLTP? Why Not Both? - Scylla Summit 2018
OLTP and Analytics are very different. One is characterized by many concurrent small requests, with a high sensitivity to latency, while the other typically processes large streams of data with more emphasis on throughput. The talk will cover: - the different requirements of the two workloads - how ScyllaDB optimizes for both - performance isolation of different workloads within ScyllaDB - how ScyllaDB supports concurrent OLTP and Analytics without sacrificing either latency or throughput - measurements ----- - Learn more about Scylla Open Source: https://www.scylladb.com/open-source/ - Test drive Scylla Enterprise: https://www.scylladb.com/test-drive/ - Find out about Scylla Cloud: https://www.scylladb.com/product/scylla-cloud/
Views: 389 ScyllaDB
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ** This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial: 1. What Is The Need For BI? 2. What Is Data Warehousing? 3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata 4. DWH Architecture 5. Demo: Creating A DWH - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Intelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 222946 edureka!
The Benefit of OLTP and OLAP in One System
Views: 3348 HpiEpicGroup
What is OLAP
Online Transnational Processing Vs Online Analytical Processing. JH SOFTECH SAP Training Video SAP Interview Preparation: https://www.youtube.com/playlist?list=PL6hZo0-ANOSVqmH49yYbJHc4E2WIUOWp9 SAP Real Time project Training : https://www.youtube.com/playlist?list=PL6hZo0-ANOSXkhtV2YDL5CmKjSDqOB7NK SAP Latest Trends : https://www.youtube.com/playlist?list=PL6hZo0-ANOSVsKBA6qXLvtugTiGDRI4iA SAP S/4 HANA : https://www.youtube.com/playlist?list=PL6hZo0-ANOSUXtL3KvbhsppkD7Ye6CmlD SAP ABAP: https://www.youtube.com/playlist?list=PL6hZo0-ANOSVpD_dAq-7kjWnfbDKIjmlV SAP BW : https://www.youtube.com/playlist?list=PL6hZo0-ANOSXakshEv6Bsbh2omb9NgLbM SAP FICO : https://www.youtube.com/playlist?list=PL6hZo0-ANOSXX0Pq0hPVHMkWObYqt8CF- SAP MM : https://www.youtube.com/playlist?list=PL6hZo0-ANOSUSrgXK9WkqZY0tgWrGStx0 SAP HR : https://www.youtube.com/playlist?list=PL6hZo0-ANOSW88YvOzZpkk2nMmw_t3TGp SAP HANA : https://www.youtube.com/playlist?list=PL6hZo0-ANOSWEh0F9vT3DpgLSnPeEZjuM SAP S/4 HANA Finance : https://www.youtube.com/playlist?list=PL6hZo0-ANOSUXfxk_gm4tPLIZ3_VLbu7m SAP S/4 HANA Logistics : https://www.youtube.com/playlist?list=PL6hZo0-ANOSUsabnWwLs_vihte4MDgrtz SAP HANA ABAP : https://www.youtube.com/playlist?list=PL6hZo0-ANOSW-fHyR-XI1YdXH699h6YVh Artificial Intelligence: https://www.youtube.com/playlist?list=PL6hZo0-ANOSX6zMDq9rByJSzi-mJobC16
Views: 506 Jh Softech
Slowly Changing Dimensions - OLAP vs. OLTP - Data Architecture Tutorial
This short video provides an introduction to how you can apply slowly-changing dimensions in an OLAP data warehouse. It compares these features to how an OLTP database manages changes over time.
Views: 9029 Edward Kench
Db & SQL – Installation AdventureWorks2014 (OLTP & OLAP)
Download und Installation der OLTP Beispieldatenbanken AdventureWorks2014 und der Staging-DAtenbank AdventureWorksDW2014
Views: 234 Matthias Wolf
sfspark.org: John Leach, Spark in a Hybrid OLTP/OLAP RDBMS
In this talk, we will discuss how we use Spark as part of a hybrid RDBMS architecture that includes Hadoop and HBase. The optimizer evaluates each query and sends OLTP traffic (including CRUD queries) to HBase and OLAP traffic to Spark. We will focus on the challenges of handling the tradeoffs inherent in an integrated architecture that simultaneously handles real-time and batch traffic. Lessons learned include: - Embedding Spark into a RDBMS - Running Spark on Yarn and isolating OLTP traffic from OLAP traffic - Accelerating the generation of Spark RDDs from HBase - Customizing the Spark UI The lessons learned can also be applied to other hybrid systems, such as Lambda architectures. John Leach is the CTO and Co-Founder of Splice Machine. With over 15 years of software experience under his belt, John’s expertise in analytics and BI drives his role as Chief Technology Officer. Prior to Splice Machine, John founded Incite Retail in June 2008 and led the company’s strategy and development efforts. At Incite Retail, he built custom Big Data systems (leveraging HBase and Hadoop) for Fortune 500 companies. Prior to Incite Retail, he ran the business intelligence practice at Blue Martini Software and built strategic partnerships with integration partners. John was a key subject matter expert for Blue Martini Software in many strategic implementations across the world. His focus at Blue Martini was helping clients incorporate decision support knowledge into their current business processes utilizing advanced algorithms and machine learning. John received dual bachelor’s degrees in biomedical and mechanical engineering from Washington University in Saint Louis. Leach currently is the organizer for the Saint Louis Hadoop Users Group and is active in the Washington University Elliot Society. ---------------------------------------------------------------------------------------------------------------------------------------- Scalæ By the Bay 2016 conference http://scala.bythebay.io -- is held on November 11-13, 2016 at Twitter, San Francisco, to share the best practices in building data pipelines with three tracks: * Functional and Type-safe Programming * Reactive Microservices and Streaming Architectures * Data Pipelines for Machine Learning and AI
Views: 559 FunctionalTV
Oracle Database 12c OLTP Compression
This short video uses swingbench to demonstrate that its possible to make excellent space savings of both the space needed to store rows and the associated indexes without compromising transaction performance. You can find out more information on Oracle Database compression in this white paper http://www.oracle.com/technetwork/database/options/compression/advanced-compression-wp-12c-1896128.pdf You can download the software used in this demonstration here http://www.dominicgiles.com/swingbench.html
Views: 632 Dominic Giles
OLTP vs. OLAP - Data Modeling Tutorial
A quick primer on the differences between OLTP and OLAP when it comes to reading and reporting on data. This information is very useful for designing the most highly optimized analytics and business intelligence software solutions.
Views: 17315 Edward Kench
DB Modelling: OLTP Database Design
This is an introductory OLTP Data Modelling lecture. It covers normalisation and a brief how-to approach. I forgot the arrows on the ends to depict what was a foreign key and a primary keys.
Views: 8525 Neelan Joachimpillai
2012 04 04 12 34   OLTP OLAP
Views: 904 usageets
16 01 olap part1
Views: 6600 Stanford Dbclass
BigData Лекция №4 "OLAP: What and why?"
Лекция 4 - OLAP. What and why. Lightning talk. В лекции описание OLAP. Что это? Для чего? Каковы отличия от OLTP? Небольшой экскурс в анализ данных и системы принятия решений. Лектор – Алексей Ковалёв DBA, CloudWorks. DBA and DB developer with more than 10 year experience. SQLSat/SSUG speaker. MCTS, MCITP. Author of pet-projects ExpressProfiler and SQL Code Guard
In this tutorial you will learn about the difference between OLAP and OLTP applications.
Views: 1471 DBA Pro
Oracle Autonomous Data Warehouse – How It Works
VP of Product Management, George Lumpkin, examines common customer challenges with traditional data warehouse deployments and details the features of the Autonomous Data Warehouse Cloud autonomous life-cycle aimed at overcoming these obstacles. Learn more about Oracle Autonomous Database Warehouse https://www.oracle.com/database/data-warehouse/index.html Watch the demo https://www.oracle.com/database/autonomous-database/demo-series.html
Views: 9310 Oracle
Excel Tutorial: What is Business Intelligence and an OLAP Cube? | ExcelCentral.com
This video lesson fully explains the concepts of Business Intelligence, OLAP, MDX and and how they apply to Excel 2013. At http://ExcelCentral.com you can view over 850 free Excel video lessons just like this one. All in full HD with vari-speed and human-transcribed subtitles providing the perfect Excel learning environment. You can also track your progress through the course and print a certificate upon completion. Separate videos are provided for Excel 2007, Excel 2010 and Excel 2013. The lesson begins with an explanation of OLAP and its purpose. You'll learn about OLAP Cubes and how they are divided into Dimensions, Measure and Hierarchies to create a multidimensional data structure. You'll also learn about how the MDX query language is used to extract values from OLAP cubes. This lesson also explains the concept of Business Intelligence and how it applies to OLAP. This video comes from the Data Model, OLAP, MDX and BI session (Session 6 in our Excel 2013 Expert Skills free video training course). This session includes the following video lessons: ▪ Lesson 6-1: Understand primary and foreign keys (11m 27s) http://excelcentral.com/excel2013/expert/lessons/06010-understand-primary-key-foreign-key-relationships.html ▪ Lesson 6-2: Create a simple data model (6m 31s) http://excelcentral.com/excel2013/expert/lessons/06020-create-a-simple-data-model.html ▪ Lesson 6-3: Understand OLAP, MDX and Business Intelligence (10m 17s) http://excelcentral.com/excel2013/expert/lessons/06030-what-is-business-intelligence-and-an-olap-cube.html ▪ Lesson 6-4: Use the GETPIVOTDATA function (4m 31s) http://excelcentral.com/excel2013/expert/lessons/06040-use-the-getpivotdata-function.html ▪ Lesson 6-5: Use the CUBEVALUE function to query an OLAP cube (5m 40s) http://excelcentral.com/excel2013/expert/lessons/06050-use-the-cubevalue-function-to-query-an-olap-cube.html ▪ Lesson 6-6: Convert CUBEVALUE functions to include MDX expressions (5m 48s) http://excelcentral.com/excel2013/expert/lessons/06060-convert-cubevalue-functions-to-include-mdx-expressions.html ▪ Lesson 6-7: Understand OLAP pivot table limitations (10m 52s) http://excelcentral.com/excel2013/expert/lessons/06070-understand-olap-pivot-table-limitations.html ▪ Lesson 6-8: Create an asymmetric OLAP pivot table using Named Sets (4m 57s) http://excelcentral.com/excel2013/expert/lessons/06080-create-an-asymmetric-olap-pivot-table-using-named-sets.html ▪ Lesson 6-9: Understand many-to-many relationships (11m 5s) http://excelcentral.com/excel2013/expert/lessons/06090-understand-many-to-many-relationships.html ▪ Lesson 6-10: Create an OLAP pivot table using a many-to-many relationship (12m 47s) http://excelcentral.com/excel2013/expert/lessons/06100-create-an-olap-pivot-table-using-a-many-to-many-relationship.html You can watch any of the 850 Excel video lessons, free and without any required registration at http://excelcentral.com/excel2013/expert/tutorials/default.html.
Views: 243879 ExcelCentral.com
Oracle SQL Developer Tutorial For Beginners  65   OLTP   Online Transaction Processing System
Oracle SQL Developer Tutorial For Beginners Series. This course introduces Oracle SQL Development for its subscribers. Currently this is based on Oracle 12c. The test environment is in Windows 10.
Views: 834 Sam Dhanasekaran
INF 2: How a OLTP System Compares With OLAP System
For Full Course Experience Please Go To http://mentorsnet.org/course_preview?course_id=10 Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors In this playlist we will explore basic concepts of DW and Learn Leading data integration tool : Informatica Power Center
Views: 47904 Oresoft LWC
Transformacion OLTP en OLAP utilizando ETL de SQL Server
En esta clase muestro un ejemplo simple y didactico con la BD Northwind, del proceso completo y básico de transformar una OLTP y convertirla en OLAP lista para un Datamart o Datawarehouse. Utilizando consultas para lograr una base de tipo estrella en la OLAP. Explicado las tablas dimensiones y la tabla de hechos. El video de como hacer un cubo datawarehouse tambien se encuentra disponible en mi canal. Cualquier duda pregunta o comentario lo pueden hacer Tambien me pueden encontrar en https://www.facebook.com/OraculoInformatico
SQL Database In-Memory technologies
Learn how to use SQL Database In-Memory technologies to improve performance without increasing costs for transaction processing (OLTP), analytics (OLAP), and hybrid transactional and analytical processing (HTAP). See In-Memory Technologies in SQL Database for more information: https://azure.microsoft.com/en-us/documentation/articles/sql-database-in-memory/
Microsoft Excel 2010 (64-bit) Connectivity to Oracle OLAP
Russ Tront, Simba's Director of Product Management, demonstrates Microsoft Excel 2010 64-bit connecting directly to Oracle Database 11g OLAP Option using Simba's MDX Provider for Oracle OLAP data connectivity product. Russ demonstrates new Excel 2010 features such as sparklines and visual slicers for easy, enhanced data analysis.
In this tutorial, you 'll learn what is the difference between OLAP and OLTP. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data
Views: 2377 Tutorials_888
Diferenças entre OLTP e OLAP. Definição e Exemplos.
OLTP e OLAP! Neste vídeo falamos sobre a definição dos termos OLTP e OLAP e fazemos comparações citando exemplos. Caso tenha gostado deixei seu comentário com alguma sugestão, dúvida ou etc. Peace!
Views: 8559 Allyson Alves
Oracle Performance Tuning and Maintenance
Oracle performance tuing for both OLTP and OLAP.
Views: 562 Suresh Wales
2  Oracle Warehouse Analytic Workspace OLAP 11g Dimensions
This module will introduce you to Analytic Workspace Manager for Oracle OLAP 11g. First, start out by creating an analytic workspace with logical dimension and cube objects. Afterwards, map these objects with existing star, snowflake, and normalized sources and then load the data. Lesson 2 -- Defining analytic workspace Lesson 3 -- Defining dimensions datasource.dmp http://www.4shared.com/file/nHYnJATY/datasource.html awm projet.pdf http://www.4shared.com/office/DtKgej-A/awm_projet.html
Views: 8323 EL-MAHJOUB Eddoua
ODS database (Operation data Store ), Its properties and purpose explained with examples
Most of the developers can't differentiate between ODS,Data warehouse, Data mart,OLTP systems and Data lakes. This video explains what exactly is an ODS, how is it different from the other systems. What are its properties that make it unique and if you have an ODS or a warehouse in your organisation
Views: 4468 Tech Coach
Highlights of Oracle Autonomous Transaction Processing Launch
CTO and Executive Chairman Larry Ellison introduces Oracle Autonomous Transaction Processing, offering powerful new capabilities in the world's first autonomous database. Innovate more for less and ensure data safety in the Oracle Autonomous Cloud.
Views: 12021 Oracle
1 Oracle Warehouse Analytic Workspace OLAP 11g
This module will introduce you to Analytic Workspace Manager for Oracle OLAP 11g. First, start out by creating an analytic workspace with logical dimension and cube objects. Afterwards, map these objects with existing star, snowflake, and normalized sources and then load the data Lesson 1 -- Starting with existing relational sources datasource.dmp http://www.4shared.com/file/nHYnJATY/datasource.html awm projet.pdf http://www.4shared.com/office/DtKgej-A/awm_projet.html
Views: 9000 EL-MAHJOUB Eddoua
Types of OLAP Technologies
interRel presents Look Smarter Than You Are with Oracle Online Analytical Processing: Types of OLAP Technologies. interRel's Haranadh Kancherla provides a wonderful summary of the various OLAP technologies that enable you to make strategic business decisions. Learn all about it right here! To see more of our videos, go to http://epm.bi/videos
Views: 5082 interRel Consulting
Analysis Services tutorial. Creating OLAP cube. Introduction to data warehouse
Analysis Services is a collection of OLAP supplied in Microsoft SQL Server. See more lessons http://www.learn-with-video-tutorials.com/analysis-services-video-tutorial
Data Warehouse in Telugu
ETL and SSIS : https://youtu.be/kWxv9E7g-JM Business Intelligence is a technology based on customer and profit-oriented models that reduce operating costs and provide increased profitability by improving productivity, sales, service and helps to make decision-making capabilities at no time. Business Intelligence Models are based on multidimensional analysis and key performance indicators (KPI) of an enterprise "A data warehouse is a subject oriented, integrated, time variant, a nonvolatile collection of data in support of management's decision-making process". In addition to a relational/multidimensional database, a data warehouse environment often consists of an ETL solution, an OLAP engine, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users. Data Mart - Datamart is a subset of data warehouse and it supports a particular region, business unit or business function. ETL (Extract, Transform and Load) is a process in data warehousing responsible for pulling data out of the source systems and placing it into a data warehouse. ETL and SSIS : https://youtu.be/kWxv9E7g-JM The Online Analytical Processing is designed to answer multi-dimensional queries, whereas the Online Transaction Processing is designed to facilitate and manage the usual business applications. While OLAP is customer-oriented, OLTP is market-oriented. Both OLTP and OLAP are two of the common systems for the management of data. The OLTP is a category of systems that manage transaction processing. OLAP is a compilation of ways to query multi-dimensional databases Tools for Data warehouse: Amazon Redshift Oracle 12c MSBI Informatica Data Validation. QuerySurge. ICEDQ. Datagaps ETL Validator. QualiDI. Talend Open Studio for Data Integration. Codoid's ETL Testing Services. Data Centric Testing.
Views: 4602 Learners Page
Data Warehouse and Business Intelligence: OLAP Servers and Operations
OLAP Servers and Operations
Views: 40808 minderchen
How to Use the new JDBC 4.3 Sharding API for Massive OLTP Scaling
Doug Hood, Cloud Product Manager, Oracle The key to linear scaling for OLTP workloads is data-dependent routing. JDK9 introduced the sharding API for JDBC 4.3 to enable data-dependent routing. In this session, see how to use this new JDBC API for massive OLTP scaling with the YCSB and SwingBench benchmarks and how to configure and code both the Oracle Sharding feature of Oracle Database and the Oracle TimesTen Scaleout feature of Oracle TimesTen In-Memory Database to use data-dependent routing for massive scalability. Examples include sharding keys, ConnectionBuilders, and data sources.
Views: 503 Oracle Developers
Practical 5 : Creating Cubes | Oracle 11g Data Warehousing
Creating Cubes in Oracle 11g Data Warehousing. Data Warehousing 5th Practical of Third Year B.Sc.IT. One Solution to all your queries for the Oracle Warehouse builder 11g. --------------------------------------------------------------------------------------------- NOTE : All content used is copyright to ProgrammingFiesta Use or commercial display or editing of the content without proper authorization is not allowed.
Oracle Database Appliance - Product Overview
Oracle Database Appliance -- Product Overview The Oracle Database Appliance saves time and money by simplifying deployment, maintenance, and support of high-availability database solutions. It offers customers a fully integrated system of software, servers, storage, and networking in a single box that delivers high-availability database services for a wide range of homegrown and packaged online transaction processing (OLTP) and data warehousing applications. Jim Fullarton, a Senior Product Specialist in Q Associates, provides a summary of the ODA features and customer benefits. Q Associates is an award winning independent provider of integrated IT infrastructure and data management solutions. We specialise in the design, deployment and management of enterprise computing environments and have extensive experience working within the commercial, public and academic sectors. In partnership with our customers, our aim is to deliver maximum value through IT excellence.
Views: 6656 QAssociatesUK