Attend FREE Oracle Exadata Training Demo @ https://mindmajix.com/oracle-exadata-training Mindmajix Advantages - Expert Instructors, Practical Implementation, Real- time Case Studies, Lifetime Access thru LMS, Job Readiness, Resume Building. Enroll Now & Become JOB READY.! Oracle Exadata Database Machine Architecture Tutorial From Mindmajix.com - The leading online global training platform. In this Exadata tutorial you will learn about Oracle exadata database machine architecture, it's components and features. What is Oracle Exadata Database Machine? Oracle Exadata is an pre-configured combination of hardware and software which provides a platform to run the Oracle Database. What is Oralce Exadata Aarchitecture? The Oracle Exadata Database Machine is a “cloud in a box” composed of database servers, Oracle Exadata storage servers, an InfiniBand fabric for storage networking and all the other components required to host an Oracle Database. The Exadata Storage Server is an integral component of the Exadata Database Machine. https://goo.gl/DAgV6f Key components of Oracle Exadata are: 1. DB Server 2. Cell Storage 3. Infiniband Switch 4. Cisco Switch 5. PDU The Features of Exadata are: 1. Smart Scan 2. Smart Flash Cache 3. IORM 4. Storage Index 5. EHCC (Exadata Hybrid Columnar Compression) If you want to learn more about Oracle Exadata Database Machine? Then get register for FREE online demo on Oracle Exadata @ https://mindmajix.com/oracle-exadata-training Learn Oracle Exadata Interview Questions at: https://mindmajix.com/oracle-exadata-interview-questions For more information contact us at: Website: https://mindmajix.com/ Email: [email protected] Phone: USA: +1 201 378 0518 | IND: +91 9246 333 245 Reach us at: LinkedIn: https://www.linkedin.com/company/mindmajix-technologies-pvt-ltd- Twitter:https://twitter.com/mindmajix Facebook: https://www.facebook.com/MindMajixTechnologies Google+: https://plus.google.com/+MindmajixTechnologies
Views: 849 Mindmajix Trainingz
Unstructured data (weblogs, social media feeds, sensor data, etc.) is increasingly acquired and processed in Hadoop. Applications need to combine the processed data with structured data in the database for analysis. This session will cover Oracle Loader for Hadoop for high speed load from Hadoop to Oracle Database, from source formats such as Hive tables and weblogs.
Views: 1657 Oracle Database Development Tools
Melliyal Annamalai, Oracle Krishna Gayatri Kuchimanchi, Oracle Shelvanarayana Aghalayam, Principal SC - SCC Solutions - Big Data, Oracle Customer 360-degree views require data from mobile device feeds, online community logs, social media feeds (often processed with Apache Hadoop), and a wealth of information stored in the database. Tools for data movement between big data platforms and Oracle Database are necessary for machine learning and complex analytics using all this data. In this session, step through using some of these tools with direct path load, SQL, and custom Hive SerDes and understand how they work with big data and database services in Oracle Cloud Infrastructure.
Views: 677 Oracle Developers
Juan Loaiza, SVP, Systems Technology, introduces new innovations to the industry’s highest performing, most cost-effective database platform.
Views: 11192 Oracle
( Hadoop Training: https://www.edureka.co/hadoop ) Check our Hadoop Tutorial blog series here: https://goo.gl/LFesy8 This Edureka Hadoop tutorial helps you understand Hadoop vs RDBMS, Hadoop vs MySql, Hadoop vs Oracle and Hadoop vs Traditional Database Systems. This Hadoop tutorial is ideal for beginners to learn Hadoop and RDBMS concepts. This Edureka Hadoop Tutorial provides knowledge on HADOOP vs RDBMS using a Sears case study, how Hadoop can be adopted into an existing system and will give you a picture on how HADOOP and RDBMS can also work together. Hadoop can be used as an underlying file-system to store, manage and process Big Data and then the final aggregated data(structured and not Big Data) can be pushed into an existing RDBMS which is used for final BI reports. "HADOOP vs RDBMS" helps you understand that hadoop is not necessarily a replacement for RDBMS however it is there to support and enhance the existing infrastructure to leverage Big Data. Hence, you should know when to use and when not use Hadoop. Refer to the below blog: http://www.edureka.co/blog/5+Reasons-when-to-use-and-not-to-use-hadoop/ Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Hadoop playlist here: https://goo.gl/ExJdZs How it Works? 1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 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 Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you: 1. Master the concepts of HDFS and MapReduce framework 2. Understand Hadoop 2.x Architecture 3. Setup Hadoop Cluster and write Complex MapReduce programs 4. Learn data loading techniques using Sqoop and Flume 5. Perform data analytics using Pig, Hive and YARN 6. Implement HBase and MapReduce integration 7. Implement Advanced Usage and Indexing 8. Schedule jobs using Oozie 9. Implement best practices for Hadoop development 10. Work on a real life Project on Big Data Analytics 11. Understand Spark and its Ecosystem 12. Learn how to work in RDD in Spark - - - - - - - - - - - - - - Who should go for this course? If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career: 1. Analytics professionals 2. BI /ETL/DW professionals 3. Project managers 4. Testing professionals 5. Mainframe professionals 6. Software developers and architects 7. Recent graduates passionate about building successful career in Big Data - - - - - - - - - - - - - - Why Learn Hadoop? Big Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! 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: Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
Views: 7908 edureka!
Oracle Big Data Discovery is a set of end-to-end visual analytic capabilities that leverage the power of Hadoop to transform raw data into business insight in minutes, without the need to learn complex products or rely only on highly skilled resources.
Views: 6669 Oracle Big Data Discovery
Oracle Big data Architecture basic explanation-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 3380 InfoTechLearner
Oracle Exadata System Software Release 220.127.116.11.0 lays the foundation for Autonomous Database and improves every aspect of Exadata with 20+ features and enhancements. All new features and enhancements are available on all supported Exadata generations
Views: 903 Oracle Database Product Management
Connect with me or follow me at https://www.linkedin.com/in/durga0gadiraju https://www.facebook.com/itversity https://github.com/dgadiraju https://www.youtube.com/c/TechnologyMentor https://twitter.com/itversity
Views: 5467 itversity
Statistics and Predictive Analytics in Oracle Database and Hadoop: Oracle Technology Summit - Virtual Technology Days 2015
Views: 3142 Oracle Advanced Analytics
This video will familiarize you on the process to ingest data from Oracle to Hadoop in Diyotta. Diyotta provides an easy to use platform for Data Ingestion. It supports different standard data sources, for example, Oracle, MySQL, and Teradata. To learn more about how Diyotta quickly enables you to build complex data pipelines in minutes., visit https://www.diyotta.com • Diyotta on Twitter: http://twitter.com/diyotta • Diyotta on Facebook: https://www.facebook.com/diyottainc • Diyotta on LinkedIn: http://www.linkedin.com/company/diyotta-inc-
Views: 183 Diyotta
Register here for FREE ACCESS to our BIG Data & Hadoop Training Platform: http://promo.skillspeed.com/big-data-hadoop-developer-certification-course/ This is a short video presentation on roles and responsibilities of a Database Administrator (DBA) and the Big Data challenge. It showcases the advantages of Hadoop and how a DBA can create valuable insights via Hadoop. The agenda for this session is as follows: ✓ What does a Database Administrator do? ✓ Limitations faced by DBAs - Big Data and DBA ✓ How Hadoop solves these limitations ✓ Hadoop DBA Professional - Career Path ---------- What does a Database Administrator do? A Database Administrator (DBA) is responsible for ensuing the efficient, secure and continuous operation of one or more database management systems (DBMS) in an organization. While users are most often doing their work on “front end” applications like links and forms in a web browser or mobile app, those “front end” applications in turn feed data to a “back end” DBMS and retrieve data from the back end DBMS. A DBA is important to an organization because any lapse in the DBMS will result in non-functioning of applications, thus huge losses to organizations. ---------- Why Database Administrators should shift to Hadoop? Here are the important limitations faced by DBA Professionals: 1. Managing Unstructured Data 2. Horizontal Scalability in terms of Data Sources 3. Cost Effectiveness of traditional DBA Tools 4. Security Issues 5. Ability to perform Real Time Analysis ---------- Upgrade from DBA to Hadoop - Hadoop for DBAs Here are the list of reasons as to why Hadoop is essential for a DBA Professional: ⇒ Organizational Level - BIG Data Analytics Data is generated in huge volumes say for example in petabytes or zeta bytes which is rich and has potential to be harnessed. This unstructured data in form of images, audio and other forms is difficult to process. Organizations today have started adopting Hadoop in order to perform real time analysis and utilize data from these complex sources; that is unstructured data which forms a major chunk of their data collection. Added to that Organizations are using Hadoop not only to save on server costs but to create breakthroughs and innovations. ⇒ Individual Level - Career in Hadoop By deploying Hadoop to harness unstructured data, DBA Professionals can play a vital role to improve business operations. Hadoop allows DBA professionals with superior data processing and storage capabilities. ---------- 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: [email protected] Website: https://www.skillspeed.com Number: +91-90660-20904 Facebook: https://www.facebook.com/SkillspeedOnline Linkedin: https://www.linkedin.com/company/skillspeed
Views: 1712 Skillspeed
Full 360-degree views of customers require data from mobile device feeds, online community logs, social media feeds (often processed using Apache Hadoop), and a wealth of information stored in the database. Tools for data movement between big data platforms and Oracle Database are necessary for machine learning and complex analytics using all this data. In this session get an overview of the steps required to use some of these tools with direct path load, SQL, and custom Hive SerDes. Speaker: Jeff Richmond
Views: 206 Oracle Developers
Oracle Exadata X6: Technical Deep Dive - Architecture and Internals Take a plunge into the technical details of the latest Oracle Exadata X6. This session describes what has been done to enhance Oracle Exadata and its integrated database architecture, and how to take maximum advantage of some of the new capabilities. This session examines in detail Oracle Exadata hardware and software architecture, database extensions for Oracle Exadata, I/O resource management, Oracle Exadata's Smart Scan and Smart Flash Cache features, as well as snapshot and virtualization capabilities.
Views: 16654 Drs. Albert Spijkers
This video highlights some basic differences between hadoop and relational database management systems. It talks about what operations are best performed in hadoop and what operations are best performed in relational databases. structured vs unstructured data. high vs low cost. open source vs licensed.
Views: 1712 SelfReflex
Игорь рассказал об архитектуре хранилища данных Wargaming, базирующуюся на технологиях от Cloudera и Oracle. Речь идет как об исходных источниках данных, так и об опыте их интеграции с помощью самостоятельно разработанных решений и специализированных инструментов, таких как Apache NiFi. Выступление заинтересует технических специалистов, которые уже знакомы со стеком Hadoop.
Views: 2617 Wargaming CIS
This Sqoop Tutorial will help you understand how can you import data from RDBMS to HDFS. It will explain the concept of importing data along with a demo. Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and external data stores such as relational databases, enterprise data warehouses. Sqoop is used to import data from external datastores into Hadoop Distributed File System or related Hadoop eco-systems like Hive and HBase. Similarly, Sqoop can also be used to extract data from Hadoop or its eco-systems and export it to external datastores such as relational databases, enterprise data warehouses. Sqoop works with relational databases such as Teradata, Netezza, Oracle, MySQL, Postgres etc Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=hadoop-sqoop-_Mh1yBJ8l88&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=hadoop-sqoop-_Mh1yBJ8l88&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 21848 Simplilearn
*** View Full Screen and in HD for best results *** This quick video shows how to use Informatica to pull data from Oralce and insert into a Hadoop filesystem.
Views: 6060 datasourcetv
Ideal for business-critical workloads, the Exadata Cloud Service comes with a highly secure and available infrastructure including all Oracle Database options preconfigured and available in minutes. What’s more, Oracle now offers its Oracle Database Cloud Service on Oracle Cloud Infrastructure Servers. In this short video, learn how to get started with Exadata Cloud Service. ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com Copyright © 2018 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 982 Oracle Learning Library
http://www.edureka.co/hadoop Email Us: [email protected],phone : +91-8880862004 This short video explains the problems with existing database systems and Data Warehouse solutions, and how Hadoop based solutions solves these problems. Let's Get Going on our Hadoop Journey and Join our 'Big Data and Hadoop' course. - - - - - - - - - - - - - - How it Works? 1. This is a 10-Module Instructor led Online Course. 2. We have a 3-hour Live and Interactive Sessions every Sunday. 3. We have 4 hours of Practical Work involving Lab Assignments, Case Studies and Projects every week which can be done at your own pace. We can also provide you Remote Access to Our Hadoop Cluster for doing Practicals. 4. 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. 5. 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 Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, MapReduce, Advance MapReduce, PIG, HIVE, HBase, Zookeeper, SQOOP, Hadoop 2.0 , YARN etc. will be covered in the course. - - - - - - - - - - - - - - Course Objectives After the completion of the Hadoop Course at Edureka, you should be able to: Master the concepts of Hadoop Distributed File System. Understand Cluster Setup and Installation. Understand MapReduce and Functional programming. Understand How Pig is tightly coupled with Map-Reduce. Learn how to use Hive, How you can load data into HIVE and query data from Hive. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing. Have a good understanding of ZooKeeper service and Sqoop, Hadoop 2.0, YARN, etc. Develop a working Hadoop Architecture. - - - - - - - - - - - - - - Who should go for this course? This course is designed for developers with some programming experience (preferably Java) who are looking forward to acquire a solid foundation of Hadoop Architecture. Existing knowledge of Hadoop is not required for this course. - - - - - - - - - - - - - - Why Learn Hadoop? BiG Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, It is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Some of the top companies using Hadoop: The importance of Hadoop is evident from the fact that there are many global MNCs that are using Hadoop and consider it as an integral part of their functioning, such as companies like Yahoo and Facebook! On February 19, 2008, Yahoo! Inc. established the world's largest Hadoop production application. The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates data that is now widely used in every Yahoo! Web search query. Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Happy Hadooping! Please write back to us at [email protected] or call us at +91-8880862004 for more information. http://www.edureka.co/big-data-and-hadoop
Views: 14310 edureka!
Наталья Горбунова, ведущий консультант Oracle выступила с докладом "Oracle Big Data Discovery – Hadoop c человеческим лицом"
Views: 116 New Professions Lab
Santander Rio rely on Oracle Exadata and Big Data Appliance for a 360° view of their customers.
Views: 185 Oracle Database Product Management
Cloudera Enterprise Data Hub brings together the best big data technologies from the Hadoop ecosytem, and adds consistent security, granular governance, and full support. Oracle Cloud Infrastructure adds unmatched performance, security, and availability, as well as the ability to run on the same private networks as Oracle databases, Exadata, and back-office applications, for easy data sharing and operational analytics. Learn More: https://cloud.oracle.com/iaas/cloudera Free Hands-on Demo Lab: http://ora.cl/LA8aB
Views: 458 Oracle Cloud Infrastructure
Making Sense of Big Data with Hadoop by Gwen Shapira, Senior Oracle DBA and Oracle ACE Director at Pythian A Database Month event: http://www.NYCSQL.com/events/59997272/ Hosted by Eric David Benari Hadoop is an open source framework for distributed data analysis. It is also a major part of Oracle's recently announced Big Data Appliance. This presentation will discuss questions raised by traditional IT organizations as they are trying to move Hadoop from the development lab to the data center: Is Hadoop just another ETL tool? What unique value can Hadoop bring to the business? How does the data in Hadoop fit into data life cycle in the organization? And how can we connect the dots to arrive at a consistent and manageable BI architecture? This presentation is aimed at IT professionals who are interested in moving with their organization toward an era where big data is a strategic advantage. Gwen Shapira, Senior Oracle DBA at Pythian Gwen Shapira is Pythian's newest Oracle ACE Director and has studied computer science, statistics, and operations research at the University of Tel Aviv, and then went on to spend the next ten years in different technical positions in the IT industry. Gwen is an OakTable member, and an Oracle Certified Professional, specializing in scalability and high-availability solutions such as RAC and Streams.
Oracle ACE Director and Pythian CTO Alex Gorbachev talks about his Great Lakes Oracle Conference, sessions "From Relational to Hadoop -- Migrating Your Data Pipeline" and "Benchmarking Oracle I/O Performance with ORION. The Great Lake Oracle Conference happens on May 13-14, 2014 (with additional workshops on May 12) in Cleveland, Ohio. For more information on the conference please visit https://www.neooug.org/gloc/.
Views: 205 Oracle Developer Community ArchBeat
This video provides information on Oracle Exadata Smart Flash Log. It describes the purpose of Exadata Smart Flash Log and shows how to configure it. It also outlines the metrics associated with Exadata Smart Flash Log. Copyright © 2012 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Views: 6754 Oracle Learning Library
Want to know what's so smart about Oracle Exadata Smart Flash Cache? This three minute video explains how Oracle Exadata Smart Flash Cache helps solve the random I/O bottleneck challenge and delivers extreme performance for consolidated database applications.
Views: 19122 Oracle Video
Hadoop Training: ) Check our Hadoop Tutorial blog series here: This Edureka Hadoop tutorial helps you understand Hadoop vs RDBMS, Hadoop. Hadoop Tutorial for Beginners Hadoop vs RDBMS Hadoop vs MySql Hadoop vs Oracle. Here i have explained briefly about the relational database management system(RDBMS) and Hadoop. This Sqoop Tutorial will help you understand how can you import data from RDBMS to HDFS. It will explain the concept of importing data along with a demo. Apache Sqoop is a tool designed for.
Views: 29 koji puke
One of the challenges in dealing with big data is 'data wrangling' - the process of taking in data and getting it into a form where value can be extracted. This can take 60% of a data scientist's time, leaving a small window for data modelling etc. Watch on to find out more about how Oracle Big Data Discovery is turning this on its head, by putting a visual face on Hadoop. For further information read the press release: https://www.oracle.com/corporate/pressrelease/enterprise-big-data-021915.html
Views: 286 OracleANZ