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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: 8184 Charlie Berger
Overview presentation and demonstration of Oracle Advanced Analytics Option
 
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Overview presentation & demonstration of Oracle Advanced Analytics Option.
Views: 7957 Charles Berger
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.
Oracle Data Miner/SQL Developer + R Integration via SQL Query node
 
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This presentation and demo shows the integration capabilities of Oracle Data Miner/SQL Developer + Oracle R Enterprise integration.
Views: 9271 Charlie 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: 2390 Charlie Berger
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
NEW - Fraud and Anomaly Detection using Oracle Advanced Analytics Part 1 Concepts
 
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This is Part 1 of my Fraud and Anomaly Detection using Oracle Advanced Analytics presentations and demos series. Hope you enjoy! www.twitter.com/CharlieDataMine
Views: 6026 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: 4966 Charles 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: 10402 Charles 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: 10708 Charlie Berger
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: 202 Charlie Berger
How to use Oracle LogMiner?
 
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Oracle Database 11g, LogMiner
Views: 8203 Mahir M. Quluzade
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
data mining oracle
 
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Views: 767 Harry Quispe
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
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: 2660 Charles Berger
Get Started with Oracle Data Visualization
 
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In Oracle Data Visualization Desktop or Oracle Analytics Cloud..... Create a new project. Sort the data, create a marquee selection, keep data elements within a marquee selection, swap data elements, add new elements, change a visualization type, and save the project. ================================= 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.
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: 5092 Charlie Berger
Oracle SQL Tutorial 23 - Intro to Data Types
 
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Every column within a table has to be given what is known as a datatype. A data type is a fairly simple concept when you dissect the word. It is literally the type of data. Why do we use types, though? The biggest benefit is so that Oracle knows how to interpret and work with our data. It also makes the database better at rejecting incorrect data. If we had to concept of a data type, there would be a lot more work involved in forcing data to be of the right format. It would also be harder for us to get the database to treat the data in the correct way. In addition to this, a database can optimize storage and performance for a column if everything is of the same data type. Because of this, each column can only support one data type. There are numerous different data types in Oracle and it helps us if we categorize them. The first types of datatypes we should learn about are: String, Numeric, Temporal Now, there are few more categories we could make, but these are the main ones. We will worry about the other ones another day as I am only introducing the topic. A string data type is anything within quotes. Most databases use single quotes for string data. Inside of the quotes can be any number of characters. What is a character? Think of any letter, number, or symbol you can type. Some people call these letters, numbers, and symbols alphanumeric. Numeric data type includes only numbers. These data types are often used for data that you plan on using for mathematical calculations. Temporal data types are data types that are used for dates and times. Now, each data type is probably going to have some options you'll need to worry about, but one that comes up with every data type is storage. The reason we need to consider storage is because we may end up with millions of rows in a table and the difference between a few bytes for each row will make a huge difference when we look at the whole picture. When a data type gives you the option of size, you will want to a size that will be able to hold what you need, but nothing more. In the upcoming videos we are going to discuss the available data types in more detail. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter 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 - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 7284 Caleb Curry
Fraud and Anomaly Detection using Oracle Advanced Anlaytics Part 2 Demo
 
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This is Part 2 of my Fraud and Anomaly Detection using Oracle Advanced Anlaytics YouTube posting a few days ago.
Views: 3150 Charles Berger
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.
ODM 11gR2 - Exporting and Importing ODM Workflows
 
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This video gives a demo of how to export a ODM 11gR2 workflow and how to import it into another schema
Views: 1195 Brendan Tierney
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
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.
Predicting Life Time Value using Oracle Advanced Analytics
 
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Predicting Life TIme Value using Oracle Advanced Analytics, integrating with Dashboards from the Oracle Business Intelligence Enterprise Edition
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.
1Z0-515 - Data Exam Warehousing 11g Test Essentials Questions
 
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For Oracle 1Z0-515 Test Questions and Answers Please Visit: https://www.PassEasily.com/1Z0-515.htm Exam Section 1 – Overview of Data Test Warehousing Questions (Test Coverage 10%) Exam Section 2 – Parallelism Questions (Test Coverage 15%) Exam Section 3 – Partitioning Questions (Test Coverage 12%) Exam Section 4 – Result Test Cache Questions (Test Coverage 13%) Exam Section 5 – OLAP Questions (Test Coverage 20%) Exam Section 6 – Advanced Test Compression Questions (Test Coverage 30%) Exam Section 7 – Data integration Questions (Test Coverage 30%) Exam Section 8 – Data mining and analysis Questions (Test Coverage 30%) Exam Section 9 – Sizing Questions (Test Coverage 30%) Exam Section 10 – Exadata Questions (Test Coverage 30%) Exam Section 11 – Best Test practices for performance Questions (Test Coverage 30%) (Exam Time): 120 minutes (Number of Test Questions): 61 (1Z0-515 Passing Score): 78%. 1. Overview of Data Warehousing • Describe the test benefits of a data warehouse • Describe the technical questions characteristics of a data warehouse • Describe the Oracle Database structures used primarily by a data warehouse • Explain the use of materialized views • Implement Database Resource Manager to control resource usage • Identify and explain the questions benefits provided by standard Oracle Database 11g enhancements for a data warehouse 2. Parallelism • Explain how the Oracle test optimizer determines the degree of parallelism • Configure 1Z0-515 parallelism • Explain how parallelism and partitioning work together 3. Partitioning • Describe types of test partitioning • Describe the benefits of partitioning • Implement partition-wise exam joins 4. Result Cache • Describe how the SQL Result Cache operates • Identify the questions scenarios which benefit the most from Result Set Caching 5. OLAP • Explain how Oracle OLAP test delivers high performance • Describe how applications can access data stored in Oracle 1Z0-515 OLAP cubes. 6. Advanced Compression • Explain the benefits provided by 1Z0-515 Advanced Compression • Explain how Advanced Compression test operates • Describe how Advanced Compression exam interacts with other Oracle options and utilities 7. Data integration • Explain Oracle's overall approach to data integration • Describe the benefits provided by ODI • Differentiate the components of ODI • Create integration data flows with ODI • Ensure data quality with1Z0-515 OWB • Explain the concept and use of real-time data integration • Describe the architecture of Oracle's data integration exam solutions 8. Data mining and analysis • Describe the components of Oracle's 1Z0-515 Data Mining option • Describe the analytical functions provided by Oracle Data Mining • Identify use questions cases that can benefit from Oracle Data Mining • Identify which Oracle exam products use Oracle Data Mining 9. Sizing • Properly size all resources to be used in a data warehouse exam configuration
Views: 535 Easily Test Oracle
Ask the Oracle Experts Fraud and Anomaly Detection using Oracle Advanced Analytics 12c and Big Data
 
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Join Charlie Berger, Senior Director, Product Management as provides us timely information on detecting fraud. Understand the types, costs and challenges of fraud and learn about career opportunities as fraud analysts. Learn how to leverage the in-database advanced and predictive analytics algorithms and functionality to build simple and sophisticated in-database analytical methodologies to combat fraud and accelerate time from crime to capture.
Make the right offer to customers using Oracle Advanced Analytics
 
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Learn about the Oracle Advanced Analytics solutions, part of Oracle's Big Data Analytics offerings, that integrate the power of Machine Learning algorithms with the performance of the Oracle Database or a Hadoop Cluster. The Virtual Machine for the Demos is available for download at: http://www.oracle.com/technetwork/database/bigdata-appliance/oracle-bigdatalite-2104726.html#download_bdalite
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: 784813 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.
Big Data gets Real time with Oracle Fast Data
 
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Watch this screencast to learn what is fast data, how it enables you to innovate and differentiate, and how Oracle's fast data solutions maximize value of high-velocity and high-volume data by enabling faster processing and faster action.
Views: 227 Oracle Big Data
Oracle Database In-Memory  Overview - DBIM Workshop part1
 
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Oracle Database In-Memory, an In-Memory column store, is a marque feature in Oracle Database 12c. The column store is seamlessly integrated into the database making it compatible with all existing applications. This 45 minute session explains in detail what motivated Oracle to develop this new technology and provides a clear understanding of how this unique “dual-format” architecture works. It will also illustrative when and how you can take advantage of the the new In-Memory functionality.
Detecting anomalies with  Oracle Big Data Spatial and Graph
 
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Detecting fraud and anomalies with Oracle Big Data Spatial and Graph Read more: 1. Oracle Big Data Spatial and Graph on Oracle.com:  https://www.oracle.com/database/big-data-spatial-and-graph 2. OTN product page (trial software downloads, documentation):  http://www.oracle.com/technetwork/database/database-technologies/bigdata-spatialandgraph 3. Blog  (technical examples and tips):   https://blogs.oracle.com/bigdataspatialgraph/ 4. Big Data Lite Virtual Machine (a free sandbox environment to get started):   http://www.oracle.com/technetwork/database/bigdata-appliance/oracle-bigdatalite-2104726.html
TYPE OF ODI REPOSITORIES
 
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Follow the full step by step ODI training tutorial at: http://www.bisptrainings.com/course/Oracle-Data-Integration
Views: 690 Amit Sharma
Gokula Mishra, VP of Advanced Analytics & Big Data, Oracle
 
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Structure Data 2013 Interview
Views: 380 Gigaom Sponsors
Bazy danych ORACLE: PART 1 of 4 "Test interdatabase consolidation with Oracle Exadata IORM"
 
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Please use HD mode Eng: This movie is the direct dump from the test console and depicts how the IORM (IO Resource Manager, the component of the Exadata Appliance) works in the following modes: interdatabase (consolidation amongst databases) and intradatabase (consolidation within a single database). It shows that with the usage of the IO Resource Manager the consolidation of the typical data warehouse and OLTP (OnLine Transaction Processing) profile within Exadata platform can be efficiently controlled. Pol: Ten film jest bezposrednim zrzutem z konsoli przedstawiajacym serie testów wykorzystania produktu IORM (IO Resource Manager dostepnego na platformie Exadata Appliance) dzialajacego w trybach interdatabase (konsolidacja na poziomie rozlacznych baz danych) i intradatabase (konsolidacja na poziomie pojedynczej bazy danych). Film ten pokazuje, ze konsolidacja profilu przetwarzania typowego dla hurtowni danych i OLTP (OnLine Transaction Processing) z uzyciem produktu IORM moze byc skutecznie kontrolowana.
Views: 1833 OPITZCONSULTINGpl
SQL Analytics - Part 1.1 Key Concepts
 
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In this podcast we review some of the key concepts around the way data sets are processed by SQL Analytics Copyright © 2013 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.
Partner Webcast Part 2 -- Oracle Real-Time Decisions (RTD) - 03 Apr 2014
 
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ECEMEA Partner Hub http://blogs.oracle.com/imc Businesses today must have a fast, focused response when something unexpected happens, or risk losing customers and revenue. Top performers know how hard it can be to analyze information that is vast, varied, and often outside the warehouse. Knowing more about your business—and knowing it faster than others—is the best way to power innovation and gain an edge on your competition. Oracle Real-Time Decisions (RTD) combines both rules and predictive analytics to power adaptive solutions for real-time enterprise decision management. It enables real-time intelligence to be instilled into any type of business process or customer interaction while it happens. A high-performance transactional server delivers real-time decisions and recommendations. This server automatically renders decisions within a business process and reveals insights, creating actionable intelligence from data flowing through the process in real time. Part 1: Oracle Endeca Information Discovery http://youtu.be/HMvNlnN5Cp4 [Read More @ https://blogs.oracle.com/imc/entry/partner_webcast_oracle_endeca_information]
Views: 2635 Oracle IMC
Oracle PL/SQL Tutorial -  Nested Tables
 
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Want all of our free Oracle videos? Download our free iPad app at http://itunes.apple.com/us/app/video-training-courses-from/id418130423?mt=8 http://www.infiniteskills.com/training/learning-oracle-pl-sql-programming.html This InfiniteSkills PLSQL tutorial explains and explores nested tables. It's just a short sample from the full course. YouTube: https://www.youtube.com/user/OreillyMedia Facebook: https://www.facebook.com/OReilly/?fref=ts Twitter: https://twitter.com/OReillyMedia Website: http://www.oreilly.com/
Bitcoin Crashed Below Critical Support!
 
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Check out the Cryptocurrency Technical Analysis Academy here: https://bit.ly/2NykhOQ In this video we discuss the recent crash in Bitcoin following the Bitcoin breakout that occured a few days back. - - - If you enjoyed the video, please leave a like, and subscribe! - - - Follow me on Instagram & Twitter: @cryptojebb Join the Discord! https://discord.gg/59jGjJy #Bitcoin #BitcoinToday #BitcoinNews *I am not a financial adviser, this is not financial advice. I strongly encourage all to do their own research before doing anything with their money. All investments/trades/buys/sells etc. should be made at your own risk with your own capital.* Spare Change? BTC 127eLjKTBKU9HTFhYowCDC4D3JBxonVk15 ETH 0x5115ACa82edf204760fE3B351c08a48d6004D89B LTC LSKXx3fQRK5LMowGznVvo6A9NtmtaQaoqP Please do not feel obligated to donate, though donations are appreciated!
Views: 3092 Crypto Jebb

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