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Cassandra Training in Taipei | Cassandra Training | Introduction to Cassandra Training for Beginners | Getting Started with Cassandra| January 11, 2020 – February 2, 2020

Cassandra training is a 16 hours long LIVE Instructor-led training delivered from January 11 - February 2, 2020 over 4 weekends, 8 sessions, 2 sessions per weekend, 2 hours per session. Cassandra Training Overview Cassandra training course is designed to help you master the key concepts of Apache Cassandra including Architecture, features, Data Model, and its Administration. During this Cassandra course, you will learn how to install, configure, and monitor Cassandra. You will also learn about its integration with other Apache frameworks like Hadoop, Spark, and Kafka. Weekly Schedule 4 weekends | Saturday and Sunday every weekend 7:30 - 9:30 AM US Pacific time each day January 11 - February 2, 2020 US Pacific time Please check your local date and time for first session Features and Benefits 4 weeks, 8 sessions, 16 hours of total Instructor-led LIVE training Training material, instructor handouts and access to useful resources on the cloud provided Practical Hands on Lab exercises provided Actual code and scripts provided Real-life Scenarios What are the Objectives of the Course ? Creating Sample Application in Cassandra Configuring, Reading and Writing Data in Cassandra Integrating Cassandra with Hadoop Cassandra Data Model Cassandra Environment Understanding Cassandra Architecture Who should take this course? IT Professionals looking for a career in Cassandra IT Developers Testing professionals Those looking to refresh their Cassandra skills Analyst/Researcher Project Managers Course Outline  1. What is Big Data Technology Landscape Big Data Relevance Distributed Systems and Challenges 2. Why NoSQL Databases Relational DB vs. NoSQL Type of NoSQL Databases NoSQL Landscape CAP Theorem and Eventual Consistency Key Characteristics of NoSQL Database systems ACID vs BASE 3. Cassandra Fundamentals Distributed and Decentralized Elastic Scalability High Availability and Fault Tolerance Tuneable Consistency Row-Oriented Schema-Free High Performance 4. The Cassandra Data Model The Relational Data Model A Simple Introduction Clusters Keyspaces Hands-on Session 5. Installation and Setup of Cassandra Single Node Setup Multi-Node Cluster Setup Key Configurations for Cassandra CLI and Hands-On with Cassandra 6. Cassandra Modeling Cassandra (Column Family NoSQL DB) Key Concepts – Key Space – Column Family – Column Family Options – Wide Rows, Skinny Row – Column Sorting – Super Columns – Counter Column Family – Composite Keys and Columns – Time To Live – Secondary Indexes in Cassandra Difference between Custom Indexes and Secondary Indexes Difference between Relational Modeling and Cassandra Modeling Key Points to note while modeling a Cassandra Database Patterns and Anit-Patterns in Cassandra Modeling 7. Cassandra Architecture & Intro to CQL Anatomy of Reading operation in Cassandra Anatomy of the Write operation in Cassandra How is Deletes handled in Cassandra System Keyspace Peer to Peer Model Logical Data Model: Keyspace, Column Family/Table, Rows, Columns Traditional Ring design vs. VNodes Partitioners: Murmer3, Random (md5) and ByteOrdered Gossip and Failure Detection Anti-Entropy and Read Repair Memtables, SSTables and Commit Log Compaction fundamentals to reduce SSTable data files Hinted Handoff Compaction Bloom Filters, Tombstones Managers and Services VNodes Indexes and Caches Coordinator node Seed nodes Write/Read consistency levels: Any, One, Two, Three, Quorum Snitches: Dynamic snitching, Simple Snitch, Rack Inferring Snitch, Property File Snitch, Gossiping Property File Snitch Routing Client requests Nodetool commands: gossipinfo, cfstats, describing YAML file fundamentals Operations management web GUI Stress testing Cassandra CQL command fundamentals 8. Cassandra API Key concepts for Reading and Write in Cassandra Tunable Consistency Simple-Get, Multi-get Slice Range and Slice Slice Predicate Delete Hands-on CLI commands 9. Cassandra CQSHL SQL over Cassandra Composite Keys Hands-on examples on CQL 3.0 10. Cassandra Clients How to establish Client Connections Thrift Client Connection Pooling Auto-discovery and Failover in Hector Client with CQL 11. Cassandra Monitoring and Administration Tuning Cassandra Backup and Recovery methods Balancing Bootstrapping Node Tools Commands Upgrades Monitoring critical metrics Bulk Loading Data to Cassandra Bulk Export of Data from Cassandra Hands-on Examples for each of them 12. Cassandra Analytics and Search Clusters Cassandra Hadoop Integration Integration of Solr with Cassandra Search Query on Cassandra

Feed The Streetz Tour 2020

Accepts: cash, Visa, Mastercard, Discover, American Express Located at main box office on Centennial Olympic Park Drive. Available for pickup beginning 1 1/2 hours prior to event. Closing time will vary by event. PLEASE BRING A PICTURE ID, THE ACTUAL CREDIT CARD USED TO PURCHASE THE TICKETS, AND YOUR ORDER NUMBER. 404-878-3000 - State Farm Arena Box Office 1-866-715-1500 - Atlanta Hawks The Box Office is open on event days and for the first day of all on-sales. (Hours will vary based upon the events and time of on-sales). Accessible seating is available in throughout the arena in various price categories. Seating for the sight/hearing impaired available in the lower level. All accessible seating is subject to availability. All levels of the Arena are accessible by elevator and escalator.

Monster Jam

Cash, Visa, MC, Discover and American Express only. Photo ID is required for all events. Tickets will only be released to the person whose name is on the envelope. Note: Broncos half-price tickets are only available via mobile delivery. There is no will call for half-price tickets. (720)258-3333 8:00am-5:00pm Monday - Friday 9:00-End of half time on Game Day ADA seating may be purchased via Ticketmaster at Ticketmaster.com or by calling 800-745-3000. Limit of 4 ADA seats per customer. For ADA assistance/inquiries, please call 720-258-3337.

Hamilton (NY)

Cash, AmEx, Visa, MC Pick up tickets one hour prior to the show. Customers must present the actual credit card used to place the order and a photo ID. (212) 221-1211 Monday - Saturday 10am - 8pm Sunday 12pm - 6pm

Barcelona Taste Food Tour, Gothic Quarter // Saturday, 22 February

The Gótico Tapas Tour takes you through Barcelona’s famous Gothic Quarter, in the Ciutat Vella (old city) – past Roman walls, alongside cathedrals, through precious plazas and, most importantly, in-and-out of small local restaurants that will leave you sated, jolly, and with a better understanding of local Catalan and national Spanish cuisine.  Gótico was our first tour, is our first love, and remains a great traditional option in Barcelona’s most historic setting.  First time in Barcelona?  This is the one for you!  The low-down on our Barcelona tapas tour This is not a historical walking tour with a snack at the end. Our 3 hour tour stops in 3 small food establishments, ranging from high-quality specialty shops to home-style tapas restaurants, each one with its own scrumptious specialties for you to taste. Your knowledgeable guide will safely lead you, all the while sharing stories about Barcelona life, food and history. You will enjoy all the cuisine, and, due to the small size of the group, you will also enjoy a more personal, relaxed experience. Our tour groups are typically no larger than 6; meaning we can discreetly visit venues loved by locals and genuinely enjoy each other’s company. Indeed, by the end of the night we usually feel we’ve made lifelong friends!

Play14 Prague

#play14 is an informal, serious games gathering following Open Space unconference format. Together we’ll explore games and playful approaches to coach teams, organizations… or just to have fun. #play14 is playful with a purpose: Coaches, facilitators, trainers, game and innovation experts find an open playground to inspire each other and co-create transformative experiences. We gather to grow individually and as a community. Never heard about Serious games? They are gamified simulations of real-life problems, and playing them is a great way to learn and understand. Good and widespread examples of such games are Lego Scrum and Kanban pizza. Common themes are people motivation, self-organization or process inefficiency. 2020 is going to be the first time this event is being organized in the Czech Republic. Have a quick glance at previous events (10min) #play14 Madrid Interviews #play14 London highlights Or explore the Play14 website (https://play14.org/) for even more info.

Movies Night

Watch the favorite movies and TV series by splitting the cost between a small group of people. For example if a movie is $30 and 6 people join the event. You all stream the movie online together while chatting, you all pay $5 each. The minimum number is 2 and max number per movie is 6 people which gives you a personalized experience while you get to make friends. 1 on 1 chats follows after the movie as well Movies for 6 - $10.00

Disney On Ice presents Into the Magic

cash, visa, mc, amex & discover - no checks TO PICK UP Will Call -- you must present your confirmation number, a picture ID and the credit card used to purchase your tickets. You must wait 48 hours after ordering to pick up your tickets. For NRG Stadium information 832-667-1400. Monday-Friday 10am-5pm Saturday 10am-2pm. Hours subject to change.

Memphis - Church Health Covid Screening

This event will take place at the Church Health Center - 1350 Concourse Ave Ste 142, Memphis, TN 38104. The shifts will be 10am to 1pm and 1pm to 4pm on Tuesdays, Wednesdays, Thursdays, and Fridays. Volunteers will assist with the screening process for Covid19. This is an opportunity for students to volunteer and earn underserved hours. If you have any questions, email twisdom@uthsc.edu or mwrigh71@uthsc.edu. ***DISCLAIMER: DO NOT SIGN-UP FOR AN EVENT IF YOU ARE SUPPOSED TO BE IN CLASS! BEING LATE TO CLASS OR MISSING CLASS DUE TO A SERVICE EVENT IS NOT ACCEPTABLE AND WILL NOT BE EXCUSED. Supervisor 10am-1pm - $0.00 Volunteer 10am-1pm - $0.00

Hamilton

Disney On Ice presents Dream Big