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Oracle data mining tutorial, data mining techniques: classification
 
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What is data mining? The Oracle Data Miner tutorial presents data mining introduction. Learn data mining techniques. More lessons, visit http://www.learn-with-video-tutorials.com/oracle-data-mining-tutorial-video
Oracle's Machine Learning & Advanced Analytics 12.2 & Oracle Data Miner 4.2 New Features
 
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Oracle's Machine Learning and Advanced Analytics 12.2 and Oracle Data Miner 4.2 New Features. This presentation highlights the new machine learning algorithms, features, functions and "differentiators" added to Oracle Database Release 12.2 and Oracle SQL Developer4.2. These features and functioned are "packaged" as part of the Oracle Advanced Analytics Database Option and Oracle Data Miner workflow UI on-premise and in the Oracle Database Cloud Service High and Extreme Editions. I hope you enjoy the video! Charlie Berger [email protected]
Views: 7031 Charlie Berger
In-Database Data Mining for Retail Market Basket Analysis Using Oracle Advanced Analytics
 
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Market Basket Analysis presentation and demo using Oracle Advanced Analytics
Views: 10244 Charles Berger
In-Database Data Mining Using Oracle Advanced Analytics for Classificaton using Insurance Use Case
 
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In-Database Data Mining Using Oracle Advanced Analytics Option for Classificaton using Insurance Use Case
Views: 4851 Charles Berger
Mining Structured and Unstructured Data
 
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Oracle Advanced Analytics (OAA) Database Option leverages Oracle Text, a free feature of the Oracle Database, to pre-process (tokenize) unstructured data for ingestion by the OAA data mining algorithms. By moving, parallelized implementations of machine learning algorithms inside the Oracle Database, data movement is eliminated and we can leverage other strengths of the Database such as Oracle Text (not to mention security, scalability, auditing, encryption, back up, high availability, geospatial data, etc.. This YouTube video presents an overview of the capabilities for combing and data mining structured and unstructured data, includes several brief demonstrations and instructions on how to get started--either on premise or on the Oracle Cloud.
Views: 2113 Charlie Berger
Oracle Data Miner 4.0/SQL Developer 4.0 Ext. - New Features
 
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Oracle Data Miner 4.0 New Features demo and presentation
Views: 10464 Charlie Berger
How to retrieve data from Oracle database using Python Script cx_Oracle module?
 
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This script will guide you to use cx_Oracle module to retrieve the data from a table.
Views: 2742 Python Hands-On
Machine Learning with Oracle
 
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Introduction - 0:00 Overview Machine Learning in Oracle - 1:31 Machine Learning theory - 6:04 Demonstration: preparation and building the model - 11:52 Demonstration: run the prediction and adapt the application - 26:24 How to get started - 33:33 Without a doubt Machine Learning / Artificial Intelligence is an incredibly powerful technology with a huge potential. It brings benefits across many industries and business functions: From better targeting in the marketing/sales domain to predictive maintenance in manufacturing. This video-webinar is a kickstart to Machine Learning. You will learn the required theoretical knowledge and then we'll go through a real-life example: intelligent sales with ML. We'll create our very first ML model, and use it to make an existing application intelligent with sales recommendations. After this webinar you will have the basic ingredients to apply ML to your own business cases! Note that you don't require any previous knowledge of ML to be able to understand this session. Powerpoint and background material can be found here: https://ptdrv.linkedin.com/cmaj4xt
Views: 3777 Jeroen Kloosterman
Oracle data mining robots want to mine your data!
 
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Oracle data mining robots want to mine your data! See Oracle Advanced Analytics on OTN
Views: 191 Charlie Berger
Oracle Big Data Analytics Demo mining remote sensor data from HVACs for better customer service
 
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Oracle Big Data Analytics Demo mining remote sensor data from HVACs for better customer service. Oracle Advanced Analytics's Data Mining GUI is used to mine data from remote devices to find problems and improve product customer service. In the scenario, Oracle's Big Data Appliance is positioned to be the initial data collector/aggregator and then the data that is loaded into the Oracle Database. We perform our data mining/predictive analytics on the data while it resides inside the Oracle Database thereby transforming the Database into an Analytical Database.
Views: 2606 Charles Berger
data mining oracle
 
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Views: 86 julio medina
Basis Data Lanjut Oracle: Teori 15 - Data Mining
 
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Basis Data Lanjut Oracle: Teori 15 - Data Mining
Views: 20 OracleDannyhrnt
SQL Database Fundamentals Tutorial
 
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Aiodex’s Referral Program  will give you 20% -80% commission from their transaction fee for 7 years. The value will be calculated starting from the date the member you invite sign up. ☞ https://aiodex.com/?ref=5b45a599c7165734d36bb3fc Get Free 15 Geek ☞ https://my.geekcash.io/ref/5b3c4924d38b6158ce04633f or http://geekcash.org/ How to Install Masternode for Geek Cash ☞ https://codequs.com/p/HyZO2Elg7 The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert ☞ http://wp.me/p8HH5D-17D Retrieving Data from Oracle Database with SQL ☞ http://edusavecoupon.net/?p=14285 SQL, SSAS & Data Mining Query Languages - T-SQL MDX DAX DMX ☞ https://wp.me/p8iOGF-N6 Would you like to learn the basics of relational databases? Join us for this look at SQL Database fundamentals, along with those of database management systems and database components. Get an in-depth introduction to the terminology, concepts, and skills you need to understand database objects, administration, security, and management tools. Plus, explore T-SQL scripts, database queries, and data types. Start with a look at creating tables, inserting data, and querying data in tables. Then, learn about data manipulation, optimize database performance, and work with non-relational data. Get practical help on basic database administration, including installation and configuration, backup and restore, security, monitoring, and maintenance. Take this SQL Database tutorial to prepare for additional online courses for database administrators (DBAs), developers, data scientists, and big data specialists. Check it out! 1 | Introduction to Databases View a course introduction, and get started with databases. 2 | Getting Started with Tables Get an introduction to concepts and techniques for creating tables, inserting data, and querying data in tables. 3 | Working with Data in Tables Learn about data manipulation using Transact-SQL (T-SQL), including INSERT, UPDATE, and DELETE. Explore wrapper objects, such as views and stored procedures. 4 | Optimizing Database Performance Get an introduction to terminology and concepts for optimizing database performance by using indexes. 5 | Working with Non-Relational Data Explore additional types of data that can be used in modern databases, including XML and JSON. 6 | Basic Database Administration Learn about terminology and concepts for basic database administration, including installation and configuration, backup and restore, security, monitoring, and maintenance. Video source via: MVA ---------------------------------------------------- Website: https://goo.gl/RBymXD Playlist: https://goo.gl/hnwbLS Fanpage: https://goo.gl/4C2pj9 Wordpress: https://goo.gl/znpKQ2 Twitter: https://goo.gl/6XgzWJ
Views: 15020 coderschool
Fast Load from Hadoop to Oracle Database
 
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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.
(Theory 15) Data Mining
 
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This is my fiftenth theory video of my weekly database tasks (oracle) I will now discuss about data mining. Happy watching :))
A Simple Way to Load Excel Spreadsheet Into Oracle Database
 
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I created this video with the YouTube Video Editor (http://www.youtube.com/editor)
Advanced Analytics using Oracle DB EE
 
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If you’ve been wanting to expose your colleagues to the power of using the Oracle Database as a platform for predictive analytics, this special session will be perfect for you. We’ll use a combination of live demos and business use cases to explain that predictive analytics doesn’t require an advanced degree in mathematics, just a database and a few good business questions. We’ll share how to leverage the work you’ve done in building a data warehouse and collecting business data sets into solid evidence for business decisions. Predictive analytics is all about looking forward into the future and leveraging data to assess and evaluate alternative courses of action. Too often, executives and managers rely on gut instinct without using the data they already have to make better decisions. Here’s the outline for the session: - Key issues in leveraging the power of analytics - Using Oracle database as an analytics platform. - Oracle Advanced Analytics overview - Oracle Data Mining - Oracle R Enterprise - Common use cases for predictive analytics - Where to start when developing your analytics capabilities
Running R in the Oracle Database
 
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A quick introduction to Oracle R Enterprise and some of the things you can do with it. More videos and details coming soon. Check out my blog at www.oralytics.com
Views: 7125 Brendan Tierney
Indexing JSON Data in Oracle Database 12c
 
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This video gives an overview of indexing JSON data in Oracle database 12c. For more information see: https://oracle-base.com/articles/12c/indexing-json-data-in-oracle-database-12cr1 Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Bertrand Drouvot : Blog: https://bdrouvot.wordpress.com/ Twitter : https://twitter.com/BertrandDrouvot Cameo appearances are for fun, not an endorsement of the content of this video. All trademarks, product names and logos are the property of their respective owners.
Views: 1470 ORACLE-BASE.com
R tutorial: connecting to a database
 
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Learn more about connecting to databases with R: https://www.datacamp.com/courses/importing-data-in-r-part-2 Welcome to part two of importing data in R! The previous course dealt with accessing data stored in flat files or excel files. In a professional setting, you'll also encounter data stored in relational databases. In this video, I'll briefly talk about what a relational database is and then I'll explain how you can connect to it. In the next video, I'll explain how you can import data from it! So, what's a relational database? There's no better way to show this than with an example. Take this database, called company. It contains three tables, employees, products and sales. Like a flat file, information is displayed in a table format. The employees table has 5 records and three fields, namely id, name and started_at. The id here serves as a unique key for each row or record. Next, the products table contains the details on four products. We're dealing with data from a telecom company that's selling both with and without a contract. Also here, each product has an identifier. Finally, there's the sales table. It lists what products were sold by who, when and for what price. Notice here that the ids in employee_id and product_id correspond to the ids that you can find in the employees and products table respectively. The third sale for example, was done by the employee with id 6, so Julie. She sold the product with id 9, so the Biz Unlimited contract. These relations make this database very powerful. You only store all necessary information once in nicely separated tables, but can connect the dots between different records to model what's happening. How the data in a relational database is stored and shuffled around when you make adaptations, depends on the so-called database management system, or DBMS you're using. Open-source implementations such as MySQL, postgreSQL and SQLite are very popular, but there are also proprietary implementations such as Oracle Database and Microsoft SQL server. Practically all of these implementations use SQL, or sequel, as the language for querying and maintaining the database. SQL stands for Structured Query Language. Depending on the type of database you want to connect to, you'll have to use different packages. Suppose the company database I introduced before is a MySQL database. This means you'll need the RMySQL package. For postgreSQL you'll need RpostgreSQL, for Oracle, you'll use ROracle and so on. How you interact with the database, so which R functions you use to access and manipulate the database, is specified in another R package called DBI. In more technical terms, DBI is an interface, and RMySQL is the implementation. Let's install the RMySQL package, which automatically installs the DBI package as well. Loading only the DBI package will be enough to get started. The first step is creating a connection to the remote MySQL database. You do this with dbConnect(), as follows. The first argument specifies the driver that you will use to connect to the MySQL database. It sure looks a bit strange, but the MySQL() function from the RMySQL package simply constructs a driver for us that dbConnect can use. Next, you have to specify the database name, where the database is hosted, through which port you want to connect, and finally the credentials to authenticate yourself. This is an actual database that we're hosting, so you can try these commands yourself! The result of the dbConnect call, con, is a DBI connection object. You'll need to pass this object to whatever function you're using to interact with the database. Before we do that, let's get familiar with this connection object in the exercises!
Views: 30389 DataCamp
Importing Data from Excel into Oracle Database using SQL Developer 4.1
 
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One of SQL Developer’s most popular features has undergone a significant upgrade. Users can quickly define and recall delimited or Excel files to be imported to a new or existing Oracle table. Data preview and validation is provided for each column, as well as ‘best guess’ data type and date format mask mapping. This process can now be automated via the SQL Developer command line interface (SDCLI) ‘Import’ command. NOTE: This is a video only. There is no audio. Copyright © 2015 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.
Oracle Data Miner Comes of Age - Full Video.mp4
 
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This the full video of the Oracle Data Miner Comes of Age article that is in the June edition of the Oracle Scene magazine. Oracle Scene is published by the UKOUG.
Views: 4004 Brendan Tierney
Move Data Between Apache Hadoop and Oracle Database for Customer 360 Degree Analytics
 
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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: 532 Oracle Developers
Overview presentation and demonstration of Oracle Advanced Analytics Option
 
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Overview presentation & demonstration of Oracle Advanced Analytics Option.
Views: 7701 Charles Berger
What is OLAP?
 
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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: 353177 Intricity101
Ask the Oracle Experts Big Data Analytics with Oracle Advanced Analytics
 
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Ask the Oracle Experts continues in June with Charlie Berger Senior Director Product Management, Data Mining and Advanced Analytics. Charlie Big Data Analytics with Oracle Advanced Analytics 12 and Big Data SQL. Charlie brings analytics to life and provides real-world examples of how to use analytics.
First Look   Advanced Analytics and Machine Learning in the Oracle Database Environment
 
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Mark Hornick and Marcos Arancibia, Oracle Advanced Analytics and Engineering Team An introduction to the machine learning capabilities and the routes data takes thru the machine learning paradigm and how to build apps that navigate the framework. ================================= 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 © 2017 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.
Hadoop Vs Traditional Database Systems | Hadoop Data Warehouse | Hadoop and ETL | Hadoop Data Mining
 
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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: 13668 edureka!
Top 10 High Paying Software Jobs - Check Out What It takes ?
 
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Top 10 High Paying Software Jobs - Check Out What It takes ? Watch this video to find out highest paying software jobs. If you're a software engineer, database admin, a data scientist, fronted developer, designer or a mobile developer, find how much is the average annual pay for your skill sets. #10 .Net Developer - $84,000 What It takes ? Programming expe in ASP .NET MVC Basic knowledge in Html,CSS Jquery/Java Scripts, Bootstrap Working knowledge of Databases MS SQL, Oracle, NoSql, mongoDB Creating setups and exe. # 09 Database Admin - $87,000 What It takes ? Understanding of structured query language (SQL) Experience with RDBMS Assist in database design Manage Databases Maritain security and integrity of databases Database Security Upgrades and Installs Deployment strategies, failure protection #08 Fronted Developer - $92,000 What It takes ? Programming in HTML5 CSS3, JavaScript, Node.js Browser Developer Tools(Firefox, Chrome) Experience with Data Formats (e.g., JSON, XML) Content Management Systems(word-press, Blogger, Joomla etc..) Front End Frameworks RESTful Services and APIs Testing and Debugging Version Control Systems # 07 Mobile Developer - $96,000 What It takes ? Cross-platform Development,iOS, Android BlackBerry, Windows etc Good UX/UI Design Skills Programming knowledge Java, C#, Objective C /Swift, HTML5, PHP etc. Knowledge of Cross Platform Mobile Development Tools # 06 Java Developer - $96,500 What It takes ? OOPs Concepts Design Patterns Data Structures JVM Multi-threading and Synchronization Domain Knowledge Networking, Multi Media, Automobile, Finance JUnit testing, debugging, ANT Source Control (GIT, SVN, CVS etc..) Database Programming (SQL) #05 Software Engineer - $98,000 What It takes ? Programming Skills, C/C++, JAVA, PHP, Python, HTML5/CSS3, Ruby etc Knowledge of Source control Debugging skills problem solving Attention to Detail Teamwork Unit testing #04 DevOps Engineer - $106,000 What It takes ? Linux/Unix Administration coding and scripting in Python, PHP, Perl,Ruby Knowledge of opensource tools Experience with systems and IT operations Continuous Improvement (CI) Continuous Deployment, tools like Jenkins collaboration, open communication automation/configuration management # 03 Data Scientist - $115,000 What It takes ? Data mining methods Processing, cleansing, and verifying of data Great communication skills statistical programming language R or Python Database Querying language SQL, mongoDB Statistics, Multi variable Calculus and Linear algebra # 02 Software Architect - $128,500 What it takes ? Knowledge of various software architectures Resolve technical problems Technically competent Strong communicator Knowledge of core frameworks high level guidance and direction on project work Strong design experience # 01 Software Development Manager -$132,000 What it takes ? Managing Relationships Project Planning Process Control Negotiation Skills Vendor Management Presentation Skills Problem solving and decision making Knowledge of Domain,Development Cycles,Automation process, Quality Assurance,Release Management Team Staffing Administrative functions
Views: 614890 eaZyTips
Oracle Database Advanced Security
 
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Watch this video to learn out security in the Oracle database. Copyright © 2014 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.
Loading Data between an Oracle Database and Apache Hive using Big Data Manager
 
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In this video, learn how you can load data between an Oracle Database and Apache Hive from the Big Data Manager UI. ================================= 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.
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
 
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***** 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. - - - - - - - - - - - - - - Please write back to us at [email protected] or call us at +91 90660 20866 for more information. 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: 153343 edureka!
Database Clustering Tutorial 1 - Intro to Database Clustering
 
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Read the Blog: https://www.calebcurry.com/blogs/database-clustering/intro-to-database-clustering Get ClusterControl: http://bit.ly/ClusterControl In this video we are going to be discussing database clustering and how to manage database clusters with ClusterControl. Database clustering is when you have multiple computers working together that are all used to store your data. There are four primary reasons you should consider clustering. Data redundancy, Load balancing (scalability) High availability. Monitoring and Automation That is an intro to a few of the reasons having a cluster is a good idea. Obviously, not everyone needs a cluster. A cluster can be overkill. But the best way to know is to learn more about them, so I’ll see you in the next video! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://eepurl.com/-8qtH Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - https://www.dreamhost.com/r.cgi?1487063 (The best web hosting for a cheap price!)
Views: 14464 Caleb Curry
ODM 11gR2 - Dropping the Repository
 
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Dropping and removing the Oracle Data Mining 11g R2 repository from the database.
Views: 371 Brendan Tierney
weka database connectivity
 
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students will be able to connect mysql database with weka. #weka #database #datamining
Views: 982 yachana bhawsar
Basic concept of NORMALIZATION | DBMS
 
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This video contains the basic concepts normalization ie what is the problem which is solved by nozmalization and will help you in various competitive exams like GATE , NET, PSU'S etc
Views: 380442 KNOWLEDGE GATE
1. Introduction to OLAP
 
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Video from Standford Engineering - Course: Introduction to Databases http://www.db-class.org/course/auth/index
Statistics and Predictive Analytics in Oracle Database and Hadoop
 
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Statistics and Predictive Analytics in Oracle Database and Hadoop: Oracle Technology Summit - Virtual Technology Days 2015
BitMap Indexes & Examples
 
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BitMap Indexes & Examples watch more videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Parth Panjab, Tutorials Point India Private Limited
Market Basket Analysis: Using Hive and Data Miner
 
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In this video, you are shown how to write a Hive UDT, and a simple drag and drop method for building association rules in Oracle Database
Big Data Analyics using Oracle Advanced Analytics12c and BigDataSQL
 
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Big Data Analyics using Oracle Advanced Analytics12c and Oracle Big Data SQL webcast
Views: 4726 Charlie Berger
Move Data Between Hadoop and the Oracle Database for Customer 360 Analytics
 
46:37
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: 111 Oracle Developers
Analytics using Oracle Big Data SQL
 
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Perform's Head of Big Data discusses analyzing petabytes of big data on Oracle Exadata and Big Data Appliance using Big Data SQL.
#FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise
 
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In this Podcast Charlie Berger from Oracle discussed some of the challenges of data driven enterprise. Podcast Link: iTunes: http://math.im/itunes GooglePlay: http://math.im/gplay Charlie's favorite read suggestions: 1. The Naked Future: What Happens in a World That Anticipates Your Every Move? Link: http://amzn.to/2xMNdJP 2. Big Data: A Revolution That Will Transform How We Live, Work, and Think Link: http://amzn.to/2xIoHcj Charlie's BIO: Passionate technical professional skilled in building entrepreneurial, start-up initiatives and environments. Strong technical, product management, communication, marketing and leadership skills. • Experienced product management professional with over 30 years of experience in leading edge technologies in large corporations and entrepreneurial start-ups. • During 15 years at Oracle Corporation, developed an innovative portfolio of “big data analytics” products developed as in-database SQL data mining functions and integrated "predictive analytics" applications. • Strong technical, product management, communication and leadership skills. • Responsible for product management and direction for the Oracle Database data mining and predictive analytics technology including Oracle Data Mining, text mining and statistical functions. • Strong product champion, evangelist and frequent speaker in the field of predictive analytics and data mining. • Leveraged relationships with customers, development and sales to communicate product capabilities and value proposition. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ [email protected] Keywords: FutureOfData Data Analytics Leadership Podcast Big Data Strategy
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