If you've invested in OBIEE and want to start exploring the use of Big Data technology, this presentation talks about how and why you might want to use OBIEE as the common visualization layer across both.
This document discusses strategies for successfully utilizing a data lake. It notes that creating a data lake is just the beginning and that challenges include data governance, metadata management, access, and effective use of the data. The document advocates for data democratization through discovery, accessibility, and usability. It also discusses best practices like self-service BI and automated workload migration from data warehouses to reduce costs and risks. The key is to address the "data lake dilemma" of these challenges to avoid a "data swamp" and slow adoption.
The document provides an overview of Apache Atlas, a metadata management and governance solution for Hadoop data lakes. It discusses Atlas' architecture, which uses a graph database to store types and instances. Atlas also includes search capabilities and integration with Hadoop components like Hive to capture lineage metadata. The remainder of the document outlines Atlas' roadmap, with goals of adding additional component connectors, a governance certification program, and generally moving towards a production release.
This document discusses leveraging Hadoop within the existing data warehouse environment of the Department of Immigration and Border Protection (DIBP) in Australia. It provides an overview of DIBP's business and why Hadoop was adopted, describes the existing EDW environment, and discusses the technical implementation of Hadoop. It also outlines next steps such as consolidating the departmental EDW and advanced analytics on Hadoop, and concludes by taking questions.
GoldenGate and ODI - A Perfect Match for Real-Time Data WarehousingMichael Rainey
Oracle Data Integrator and Oracle GoldenGate excel as standalone products, but paired together they are the perfect match for real-time data warehousing. Following Oracle’s Next Generation Reference Data Warehouse Architecture, this discussion will provide best practices on how to configure, implement, and process data in real-time using ODI and GoldenGate. Attendees will see common real-time challenges solved, including parent-child relationships within micro-batch ETL.
Presented at RMOUG Training Days 2013 & KScope13.
This document discusses architecting Hadoop for adoption and data applications. It begins by explaining how traditional systems struggle as data volumes increase and how Hadoop can help address this issue. Potential Hadoop use cases are presented such as file archiving, data analytics, and ETL offloading. Total cost of ownership (TCO) is discussed for each use case. The document then covers important considerations for deploying Hadoop such as hardware selection, team structure, and impact across the organization. Lastly, it discusses lessons learned and the need for self-service tools going forward.
This document provides an overview of big data concepts and technologies for managers. It discusses problems with relational databases for large, unstructured data and introduces NoSQL databases and Hadoop as solutions. It also summarizes common big data applications, frameworks like MapReduce, Spark, and Flink, and different NoSQL database categories including key-value, column-family, document, and graph stores.
GoldenGate and Oracle Data Integrator - A Perfect Match- Upgrade to 12cMichael Rainey
- The document discusses upgrading Oracle GoldenGate 11g and Oracle Data Integrator 11g to their 12c versions. It provides an overview of the steps to upgrade each product including preparing the source and target systems, installing 12c, updating supplemental logging, and finalizing the upgrade by altering processes to write a new sequence number. It also discusses using the convprm tool to convert GoldenGate parameter files during the upgrade process.
Data Integration for Big Data (OOW 2016, Co-Presented With Oracle)Rittman Analytics
Oracle Data Integration Platform is a cornerstone for big data solutions that provides five core capabilities: business continuity, data movement, data transformation, data governance, and streaming data handling. It includes eight core products that can operate in the cloud or on-premise, and is considered the most innovative in areas like real-time/streaming integration and extract-load-transform capabilities with big data technologies. The platform offers a comprehensive architecture covering key areas like data ingestion, preparation, streaming integration, parallel connectivity, and governance.
The Rise of Big Data Governance: Insight on this Emerging Trend from Active O...DataWorks Summit
Each of today’s most forward-thinking enterprises have been forced to face similar data challenges: the reliance on real-time data to better serve their customers and, subsequently, the requirement of complying with regulations to protect that data – one example being the General Data Protection Regulation (GDPR).
The solution to this emerging challenge is a tricky one – for companies like ING, this data governance challenge has been met with metadata, a consistent view across a large heterogeneous ecosystem and collaboration with an active open source community.
This joint presentation, John Mertic – director of program management for ODPi – and Ferd Scheepers – Global Chief Information Architect of ING – will address the benefits of a vendor-neutral approach to data governance, the need for an open metadata standard, along with insight around how companies ING, IBM, Hortonworks and more are delivering solutions to this challenge as an open source initiative.
Speakers
John Mertic, Director of Program Management for ODPi, R Consortium, and Open Mainframe Project, The Linux Foundation
Maryna Strelchuk, Information Architect, ING
Oracle PL/SQL 12c and 18c New Features + RADstack + Community SitesSteven Feuerstein
Slides presented at moug.org's August 2018 conference. Covers the RADstack (REST - APEX - Database) + our community sites (AskTOM, LiveSQL and Dev Gym) + a whole bunch of cool new PL/SQL features. Search LiveSQL.oracle.com for scripts to match up with the features presented.
451 Research is a leading IT research and advisory company founded in 2000 with over 250 employees including over 100 analysts. It provides research and data through fifteen channels to over 1,000 clients on technology and service providers. The document discusses the evolution of the meaning of "Hadoop" from referring originally to specific Apache projects like HDFS and MapReduce to becoming a catch-all term for the distributed data processing ecosystem, and how different Hadoop distributions combine various related Apache projects in their offerings. It also examines how data platforms are converging, with various databases, analytics engines, and streaming platforms increasingly supporting common workloads and data models.
Obiee 12C and the Leap Forward in Lifecycle ManagementStewart Bryson
One reason that OBIEE projects regularly languish between design and delivery is the product's historical lack of concrete lifecycle and deployment capabilities. Whether adopting manual lifecycle processes, or scripting complex deployments, these solutions usually yield mixed results, but always highlight one clear conclusion: we need change.
With the newest release of OBIEE 12c, change has finally arrived. This session will detail the new BI Application Archive (BAR) file and it's role in smoother migrations and increased developer productivity. We'll take a peak under the covers at a new flexible, container-like architecture that makes the creation and application of these BAR files simple, but also provides enhanced lifecycle capabilities throughout.
Effective data governance is imperative to the success of Data Lake initiatives. Without governance policies and processes, information discovery and analysis is severely impaired. In this session we will provide an in-depth look into the Data Governance Initiative launched collaboratively between Hortonworks and partners from across industries. We will cover the objectives of Data Governance Initiatives and demonstrate key governance capabilities of the Hortonworks Data Platform.
Accelerating query processing with materialized views in Apache HiveDataWorks Summit
Over the last few years, the Apache Hive community has been working on advancements to enable a full new range of use cases for the project, moving from its batch processing roots towards a SQL interactive query answering platform. Traditionally, one of the most powerful techniques used to accelerate query processing in data warehouses is the precomputation of relevant summaries or materialized views.
This talk presents our work on introducing materialized views and automatic query rewriting based on those materializations in Apache Hive. In particular, materialized views can be stored natively in Hive or in other systems such as Druid using custom storage handlers, and they can seamlessly exploit new exciting Hive features such as LLAP acceleration. Then the optimizer relies in Apache Calcite to automatically produce full and partial rewritings for a large set of query expressions comprising projections, filters, join, and aggregation operations. We shall describe the current coverage of the rewriting algorithm, how Hive controls important aspects of the life cycle of the materialized views such as the freshness of their data, and outline interesting directions for future improvements. We include an experimental evaluation highlighting the benefits that the usage of materialized views can bring to the execution of Hive workloads.
Speaker
Jesus Camacho Rodriguez, Member of Technical Staff, Hortonworks
The world’s largest enterprises run their infrastructure on Oracle, DB2 and SQL and their critical business operations on SAP applications. Organisations need this data to be available in real-time to conduct necessary analytics. However, delivering this heterogeneous data at the speed it’s required can be a huge challenge because of the complex underlying data models and structures and legacy manual processes which are prone to errors and delays.
Unlock these silos of data and enable the new advanced analytics platforms by attending this session.
Find out how to:
• To overcome common challenges faced by enterprises trying to access their SAP data
• You can integrate SAP data in real-time with change data capture (CDC) technology
• Organisations are using Attunity Replicate for SAP to stream SAP data in to Kafka
My presentation slides from Hadoop Summit, San Jose, June 28, 2016. See live video at http://www.makedatauseful.com/vid-solving-performance-problems-hadoop/ and follow along for context.
Moving analytic workloads into production - specific technical challenges and best practices for engineering SQL in Hadoop solutions. Highlighting the next generation engineering approaches to the secret sauce we have implemented in the Actian VectorH database.
The document discusses Oracle's big data platform and how it can extend Hortonworks' data platform. It provides an overview of Oracle's enterprise big data architecture and the key components of its big data platform. It also discusses how Oracle's platform provides rich SQL access across different data sources and describes some big data solutions for adaptive marketing and predictive maintenance.
The document discusses extending data governance in Hadoop ecosystems using Apache Atlas and partner solutions including Waterline Data, Attivo, and Trifacta. It highlights how these vendors have adopted Apache's open source community commitment and are integrating their products with Atlas to provide a rich, innovative community with a common metadata store backed by Atlas. The session will showcase how these three vendors extend governance capabilities by integrating their products with Atlas.
This document discusses Oracle Data Integration solutions for tapping into big data reservoirs. It begins with an overview of Oracle Data Integration and how it can improve agility, reduce risk and costs. It then discusses Oracle's approach to comprehensive data integration and governance capabilities including real-time data movement, data transformation, data federation, and more. The document also provides examples of how Oracle Data Integration has been used by customers for big data use cases involving petabytes of data.
The document discusses Oracle's data integration products and big data solutions. It outlines five core capabilities of Oracle's data integration platform, including data availability, data movement, data transformation, data governance, and streaming data. It then describes eight core products that address real-time and streaming integration, ELT integration, data preparation, streaming analytics, dataflow ML, metadata management, data quality, and more. The document also outlines five cloud solutions for data integration including data migrations, data warehouse integration, development and test environments, high availability, and heterogeneous cloud. Finally, it discusses pragmatic big data solutions for data ingestion, transformations, governance, connectors, and streaming big data.
The document discusses new features and enhancements in Oracle Business Intelligence 12c, including:
- Improved front-end usability features like an updated home page, enhanced sorting, and view properties access in compound layouts.
- New data visualization options like Oracle Data Visualization for ad-hoc analysis and mashups of spreadsheets with existing subject areas.
- Changes to installation, configuration, and architecture like a simplified installation process and separation of environment metadata from configuration.
- Upgrades are supported from 11g using a new Baseline Validation Tool to test and compare systems before and after upgrades.
The Time is Now! Migrating from OWB to ODI 12cStewart Bryson
Prior to the introduction of Data Integrator (ODI), Oracle had another data integration tool: Warehouse Builder (OWB). Usually positioned as an ETL tool, OWB excelled in environments with a strong footprint in the Oracle Database. Oracle's statement of direction has been clear: to deliver a unified data integration platform, combining the best from both tools into a true world class product. With ODI 12c, that day has arrived.
In this presentation, I’ll demonstrate the features available for migrating from OWB to ODI 12c. I’ll also describe a phased approach for doing a “right-time” conversion to ODI 12c, which involves migrating bite-sized chunks of OWB processes over to ODI when that migration adds legitimate value for the customer.
AgileAnalytics: Agile Real-Time BI with Oracle Business Intelligence, Oracle ...Stewart Bryson
A successful real-time BI implementation involves integrating the logical and physical model, source and target databases, ETL subsystems, and front-end dashboards and reports. Agile methodologies often struggle to deliver real-time implementations due to the complexity of the intermingled moving parts.
Using the Oracle Information Management Reference Architecture as a backdrop, attendees will see how to construct a complete real-time BI system using Oracle Business Intelligence, Oracle Data Integrator and Oracle GoldenGate, driven by an Agile approach focusing on user stories and time-boxed iterations.
The Time is Now: Migrating from Oracle Warehouse Builder to Oracle Data Integ...Stewart Bryson
Prior to the introduction of Data Integrator (ODI), Oracle had another data integration tool: Warehouse Builder (OWB). Usually positioned as an ETL tool, OWB excelled in environments with a strong footprint in the Oracle Database. Oracle's statement of direction has been clear: to deliver a unified data integration platform, combining the best from both tools into a true world class product. With ODI 12c, that day has arrived.
In this presentation, I’ll demonstrate the features available for migrating from OWB to ODI 12c. I’ll also describe a phased approach for doing a “right-time” conversion to ODI 12c, which involves migrating bite-sized chunks of OWB processes over to ODI when that migration adds legitimate value for the customer.
An Introduction to Oracle Enterprise Metadata ManagerLauren Prezby
This document discusses Red Pill Analytics and its Oracle Enterprise Metadata Manager (OEMM) product. It provides an overview of OEMM's key capabilities including harvesting metadata from various sources to create models, using bridges to connect the models, and stitching the models together to form relationships and lineage. Use cases for OEMM are also mentioned such as supporting agile delivery, upgrading Oracle BI, understanding big data assets, and aiding project planning.
Obiee 12c and the leap forward in lifecycle managementLauren Prezby
This document discusses Oracle's OBIEE 12c and improvements to lifecycle management. It proposes a more flexible architecture using pluggable metadata modules and lightweight service instances. This would allow customizing metadata independently of other instances and simplify content portability using BAR files. However, the current 12c release only supports a singleton instance configuration.
This document summarizes a presentation about using Hadoop as an analytic platform. It discusses how Actian has added seven key ingredients to Hadoop to unlock its full potential for analytics. These include high-speed data integration, a visual framework for data science and modeling, open-source analytic operators, high-performance data processing engines, vector-based SQL processing natively on HDFS, an extremely fast parallel analytics engine, and a next-generation big data analytics platform. The goal is to transform Hadoop from merely a data reservoir to a fully-featured analytics platform.
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...DataWorks Summit
The document discusses re-platforming existing enterprise business intelligence and analytic workloads from platforms like Oracle, Teradata, SAP and IBM to the Hadoop platform. It notes that many existing analytic workloads are struggling with increasing data volumes and are too costly. Hadoop offers a modern distributed platform that can address these issues through the use of a production-grade SQL database like VectorH on Hadoop. The document provides guidelines for re-platforming workloads and notes potential benefits such as improved performance, reduced costs and leveraging the Hadoop ecosystem.
This presentation is for Analytic and Business Intelligence leads as well as IT leads who manage analytics. In addition, existing Oracle Business Intelligence and Analytic Customers will find it valuable to understand how they can leverage their existing investments along with Oracle Analytics Cloud.
BI congres 2016-2: Diving into weblog data with SAS on Hadoop - Lisa Truyers...BICC Thomas More
9de BI congres van het BICC-Thomas More: 24 maart 2016
De hoeveelheid data die via weblogs verzameld wordt, neemt steeds meer toe. Lisa Truyers zet aan de hand van een praktische case uiteen hoe Keyrus hiermee aan de slag ging
The document discusses an upcoming webinar on Big Data and SQL. It provides details on the webinar topics, speakers, and the HP Vertica Analytics Platform. The webinar will explore how HP Vertica allows users to navigate and analyze data stored in Hadoop using SQL, avoiding complex ETL processes. It will also discuss how the platform handles both query and analytical workloads and enables exploration of semi-structured data through its Flex Zone.
Pivotal Big Data Suite: A Technical OverviewVMware Tanzu
Pivotal provides a suite of big data products including Pivotal Greenplum Database, Pivotal HDB, and Pivotal GemFire. Greenplum Database is an open source massively parallel processing data warehouse. HDB is an open source analytical database for Apache Hadoop. GemFire is an open source application and transaction data grid. The suite provides a complete platform for big data with deployment options, advanced data services, and flexible licensing.
The document discusses how MySQL can be used to unlock insights from big data. It describes how MySQL provides both SQL and NoSQL access to data stored in Hadoop, allowing organizations to analyze large, diverse datasets. Tools like Apache Sqoop and the MySQL Applier for Hadoop are used to import data from MySQL to Hadoop for advanced analytics, while solutions like MySQL Fabric allow databases to scale out through data sharding.
Oracle Openworld Presentation with Paul Kent (SAS) on Big Data Appliance and ...jdijcks
Learn about the benefits of Oracle Big Data Appliance and how it can drive business value underneath applications and tools. This includes a section by Paul Kent, VP Big Data SAS describing how SAS runs well on Oracle Engineered Systems and on Oracle Big Data Appliance specifically.
Oracle Unified Information Architeture + Analytics by ExampleHarald Erb
Der Vortrag gibt zunächst einen Architektur-Überblick zu den UIA-Komponenten und deren Zusammenspiel. Anhand eines Use Cases wird vorgestellt, wie im "UIA Data Reservoir" einerseits kostengünstig aktuelle Daten "as is" in einem Hadoop File System (HDFS) und andererseits veredelte Daten in einem Oracle 12c Data Warehouse miteinander kombiniert oder auch per Direktzugriff in Oracle Business Intelligence ausgewertet bzw. mit Endeca Information Discovery auf neue Zusammenhänge untersucht werden.
Big Data in Action – Real-World Solution ShowcaseInside Analysis
The Briefing Room with Radiant Advisors and IBM
Live Webcast on February 25, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=53c9b7fa2000f98f5b236747e3602511
The power of Big Data depends heavily upon the context in which it's used, and most organizations are just beginning to figure out where, how and when to leverage it. One key to success is integration with existing information systems, many of which still rely on relational database technologies. Finding ways to blend these two worlds can help companies generate measurable business value in fairly short order.
Register for this episode of The Briefing Room to hear Analysts Lindy Ryan and John O'Brien as they explain how the combination of traditional Business Intelligence with Big Data Analytics can provide game-changing results in today's information economy. They'll be briefed by Eric Poulin and Paul Flach of Stream Integration who will share best practices for designing and implementing Big Data solutions. They'll discuss the components of IBM BigInsights, and explain how BigSheets can empower non-technical users who need to explore self-structured data.
Visit InsideAnlaysis.com for more information.
Game Changed – How Hadoop is Reinventing Enterprise ThinkingInside Analysis
The Briefing Room with Dr. Robin Bloor and RedPoint Global
Live Webcast on April 8, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=cfa1bffdd62dc6677fa225bdffe4a0b9
The innovation curve often arcs slowly before picking up speed. Companies that harness a major transformation early in the game can make serious headway before challengers enter the picture. The world of Hadoop features several of these upstarts, each of which uses the open-source foundation as an engine to drive vastly greater performance to a wide range of services, and even create new ones.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how the Hadoop engine is being used to architect a new generation of enterprise applications. He’ll be briefed by George Corugedo, RedPoint Global CTO and Co-founder, who will showcase how enterprises can cost-effectively take advantage of the scalability, processing power and lower costs that Hadoop 2.0/YARN applications offer by eliminating the long-term expense of hiring MapReduce programmers.
Visit InsideAnlaysis.com for more information.
Level Up – How to Achieve Hadoop AccelerationInside Analysis
The Briefing Room with Robin Bloor and HP Vertica
Live Webcast on August 26, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=3dd6d1b068fe395f665c75adb682ac41
Hadoop has long passed the point of being a nascent technology, but many users have found that when left to its own devices, Hadoop can be a one trick pony. To get the most out of Hadoop, organizations need a flexible platform that empowers analysts and data managers with a complete set of information lifecycle management and analytics tools without a performance tradeoff.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he outlines Hadoop’s role in a big data architecture. He’ll be briefed by Walt Maguire of HP Vertica, who will showcase his company’s big data solutions, including HAVEn and the HP Big Data Platform. He will demonstrate how HP Vertica acts as a complement to Hadoop, and how the combination of the two provides a versatile and highly performant solution.
Visit InsideAnlaysis.com for more information.
Hadoop for Business Intelligence ProfessionalsSkillspeed
This is a presentation on Hadoop for BI Professionals who want to upgrade their career path to BIG Data technologies. Hadoop for Business Intelligence Professionals is a definite upgrade in terms of career growth, scope of worth and organization influence.
The PPT covers the following topics:
✓ What is BIG Data?
✓ What is Hadoop? Why is it so popular?
✓ Upgrading from BI to Hadoop
✓ Career Path
✓ Salary & Job Trends
✓ Hiring Companies
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Skillspeed is a live e-learning company focusing on high-technology courses. We provide live instructor led training in BIG Data & Hadoop featuring Realtime Projects, 24/7 Lifetime Support & 100% Placement Assistance.
Email: sales@skillspeed.com
Website: https://www.skillspeed.com
A modern, flexible approach to Hadoop implementation incorporating innovation...DataWorks Summit
A modern, flexible approach to Hadoop implementation incorporating innovations from HP Haven
Jeff Veis
Vice President
HP Software Big Data
Gilles Noisette
Master Solution Architect
HP EMEA Big Data CoE
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Enhance your knowledge on the forefront of automation technology and stay ahead with Agentic Process Automation. 🧠💼✨
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This is a Safe Harbor Front slide, one of two Safe Harbor Statement slides included in this template.
One of the Safe Harbor slides must be used if your presentation covers material affected by Oracle’s Revenue Recognition Policy
To learn more about this policy, e-mail: Revrec-americasiebc_us@oracle.com