- Trainer had good practical knowledge about using cassandra day-to-day at least for development purposes
- Catering (snacks, coffee hour) were great
- 3 days length was good
Mika Linnanoja - Rovio
Szkolenia Cassandra
Apache Cassandra database training
Opinie uczestników
Plany Szkoleń Cassandra
| Kod | Nazwa | Czas trwania | Charakterystyka kursu |
|---|---|---|---|
| cassdbfun | Fundamentals of Cassandra DB | 21 godz. | This course introduces the basics of Cassandra 2.0 including its installation & configuration, internal architecture, tools, Cassandra Query Language, and administration. Audience Administrators and developers seeking to use Cassandra. This course serves as a foundation and prerequisite for other advanced Cassandra courses. Introduction to Cassandra Big Data Common use cases of Cassandra Cassandra architecture Installation and Configuration Running and Stopping Cassandra instance Cassandra Data Model Cassandra Query Language Configuring the Cassandra nodes and clusters using CCM cqlsh shell commands nodetool Using cassandra-stress to populate and test the Cassandra nodes Coordinating the Cassandra requests Replication Consistency Tuning Cassandra Nodes Communication Writing and Reading data to/from the storage engine Data directories Anti-entropy operations Cassandra Compaction Choosing and Implementing compaction strategies Best practices in hardware planning Troubleshooting resources |
| cassdev | Cassandra for Developers | 21 godz. | This course will introduce Cassandra – a popular NoSQL database. It will cover Cassandra principles, architecture and data model. Students will learn data modeling in CQL (Cassandra Query Language) in hands-on, interactive labs. This session also discusses Cassandra internals and some admin topics. Duration : 3 days Audience : Developers Section 1: Introduction to Big Data / NoSQL NoSQL overview CAP theorem When is NoSQL appropriate Columnar storage NoSQL ecosystem Section 2 : Cassandra Basics Design and architecture Cassandra nodes, clusters, datacenters Keyspaces, tables, rows and columns Partitioning, replication, tokens Quorum and consistency levels Labs : interacting with cassandra using CQLSH Section 3: Data Modeling – part 1 introduction to CQL CQL Datatypes creating keyspaces & tables Choosing columns and types Choosing primary keys Data layout for rows and columns Time to live (TTL) Querying with CQL CQL updates Collections (list / map / set) Labs : various data modeling exercises using CQL ; experimenting with queries and supported data types Section 4: Data Modeling – part 2 Creating and using secondary indexes composite keys (partition keys and clustering keys) Time series data Best practices for time series data Counters Lightweight transactions (LWT) Labs : creating and using indexes; modeling time series data Section 5 : Data Modeling Labs : Group design session multiple use cases from various domains are presented students work in groups to come up designs and models discuss various designs, analyze decisions Lab : implement one of the scenario Section 6: Cassandra drivers Introduction to Java driver CRUD (Create / Read / Update, Delete) operations using Java client Asynchronous queries Labs : using Java API for Cassandra Section 7 : Cassandra Internals understand Cassandra design under the hood sstables, memtables, commit log read path / write path caching vnodes Section 8: Administration Hardware selection Cassandra distributions Cassandra best practices (compaction, garbage collection,) troubleshooting tools and tips Lab : students install Cassandra, run benchmarks Section 9: Bonus Lab (time permitting) Implement a music service like Pandora / Spotify on Cassandra |
| cassadmin | Cassandra Administration | 14 godz. | This course will introduce Cassandra – a popular NoSQL database. It will cover Cassandra principles, architecture and data model. Students will learn data modeling in CQL (Cassandra Query Language) in hands-on, interactive labs. This session also discusses Cassandra internals and some admin topics. Section 1: Introduction to Big Data / NoSQL NoSQL overview CAP theorem When is NoSQL appropriate Columnar storage NoSQL ecosystem Section 2 : Cassandra Basics Design and architecture Cassandra nodes, clusters, datacenters Keyspaces, tables, rows and columns Partitioning, replication, tokens Quorum and consistency levels Labs : interacting with cassandra using CQLSH Section 3: Data Modeling – part 1 introduction to CQL CQL Datatypes creating keyspaces & tables Choosing columns and types Choosing primary keys Data layout for rows and columns Time to live (TTL) Querying with CQL CQL updates Collections (list / map / set) Labs : various data modeling exercises using CQL ; experimenting with queries and supported data types Section 4: Data Modeling – part 2 Creating and using secondary indexes composite keys (partition keys and clustering keys) Time series data Best practices for time series data Counters Lightweight transactions (LWT) Labs : creating and using indexes; modeling time series data Section 5 : Cassandra Internals understand Cassandra design under the hood sstables, memtables, commit log Section 6: Administration Hardware selection Cassandra distributions Cassandra Nodes Communication Writing and Reading data to/from the storage engine Data directories Anti-entropy operations Cassandra Compaction Choosing and Implementing compaction strategies Cassandra best practices (compaction, garbage collection,) troubleshooting tools and tips Lab : students install Cassandra, run benchmarks |
| scylladb | Scylla database | 21 godz. | Scylla is an open-source distributed NoSQL data store. It is compatible with Apache Cassandra but performs at significantly higher throughputs and lower latencies. In this course, participants will learn about Scylla's features and architecture while obtaining practical experience with setting up, administering, monitoring, and troubleshooting Scylla. Audience Database administrators Developers System Engineers Format of the course The course is interactive and includes discussions of the principles and approaches for deploying and managing Scylla distributed databases and clusters. The course includes a heavy component of hands-on exercises and practice. Introduction to Scylla Installing and running Scylla Understanding distributed databases Scylla's data model and architecture Working with CQL (Cassandra Query Language) Setting up a Scylla cluster Scylla tools Database administration Troubleshooting Scylla |
| acas1 | Apache Cassandra 2.x Core Internals | 21 godz. | This is a fast-paced, vendor agnostic, technical Apache Cassandra course that focuses on the key aspects of the technology for developers and system operations staff, covering core internal and distributed architecture fundamentals. What you will learn + Identifying the correct use cases for Cassandra + Introducing attendees to the core concepts of the distributed architecture of the Cassandra database + Deep diving into the internal architecture of the read/write paths of Cassandra: bloom filters, block indexes, commit-log, memtables, sstables, compaction, etc. + The fundamentals of how to write Java code to interact with Cassandra + Data modelling using CQL using the newest features of Cassandra 2.x and how to apply these concepts to build real applications on top of Cassandra + Spark/Cassandra integration Introduction to Cassandra and its Architecture + NoSQL ecosystem overview + Review of Database families and data models + Cassandra origins: Amazon Dynamo, Google BigTable and Cassandra at Facebook + Cassandra use cases + Cassandra ecosystems and distributions + Cassandra distributed architecture fundamentals + Cassandra configuration Cassandra Storage Internals and Data Model + Introduction to LSM-tree + Implementation details: bloom filters, in-memory caching, compression, off-heap data structures + Detailed study of the read/write path + JVM tuning and troubleshooting Data Modelling using CQL in Cassandra + CQL language fundamentals + CQL use cases + Mapping between logical CQL data model and internal low level storage engine + CQL collections + Atomic batches + Spark Integration Hands-on Labs + Each student will be given a 3 node Cassandra cluster in Rackspace to run through the hands-on labs + Lab 1: Install Cassandra 2.0 on a single node in the cloud + Lab 2: Run Cassandra commands and explore operations management concepts + Lab 3: Grow the cluster size to 3 nodes + Lab 4: Advanced Cassandra commands + Lab 5: Java API lab + Lab 6: Advanced Java API lab + Lab 7: Spark Integration lab |
| cassdev1 | Cassandra for Developers - Bespoke | 21 godz. | This course will introduce Cassandra – a popular NoSQL database. It will cover Cassandra principles, architecture and data model. Students will learn data modeling in CQL (Cassandra Query Language) in hands-on, interactive labs. This session also discusses Cassandra internals and some admin topics. Duration : 3 days Audience : Developers Section 1: Introduction to Big Data / NoSQL NoSQL overview CAP theorem When is NoSQL appropriate Columnar storage NoSQL ecosystem Section 2 : Cassandra Basics Design and architecture Cassandra nodes, clusters, datacenters Keyspaces, tables, rows and columns Partitioning, replication, tokens Quorum and consistency levels Labs : interacting with cassandra using CQLSH Section 3: Data Modeling – part 1 introduction to CQL CQL Datatypes creating keyspaces & tables Choosing columns and types Choosing primary keys Data layout for rows and columns Time to live (TTL) Querying with CQL CQL updates Collections (list / map / set) Labs : various data modeling exercises using CQL ; experimenting with queries and supported data types Section 4: Data Modeling – part 2 Creating and using secondary indexes composite keys (partition keys and clustering keys) Time series data Best practices for time series data Counters Lightweight transactions (LWT) Labs : creating and using indexes; modeling time series data Section 5 : Data Modeling Labs : Group design session multiple use cases from various domains are presented students work in groups to come up designs and models discuss various designs, analyze decisions Lab : implement one of the scenario Section 6: Cassandra drivers Introduction to Java driver CRUD (Create / Read / Update, Delete) operations using Java client Asynchronous queries Labs : using Java API for Cassandra Section 7 : Cassandra Internals understand Cassandra design under the hood sstables, memtables, commit log read path / write path caching vnodes Section 8: Administration Hardware selection Cassandra distributions Installing Cassandra Running benchmarks Tooling for monitoring performance and node activities DataStax OpsCenter Diagnosting Cassandra performance issues Investigating a node crash Understanding data repair, deletion and replication Other troubleshooting tools and tips Cassandra best practices (compaction, garbage collection,) Section 9: Bonus Lab (time permitting) Implement a music service like Pandora / Spotify on Cassandra |
Najbliższe szkolenia
| Szkolenie | Data Kursu | Cena szkolenia [Zdalne / Stacjonarne] |
|---|---|---|
| Apache Cassandra 2.x Core Internals - Opole, Władysława Reymonta 29 | pon., 2017-10-09 09:00 | 22380PLN / 8132PLN |
| Cassandra for Developers - Bielsko-Biała, Al. Armii Krajowej 220 | wt., 2017-10-10 09:00 | 17290PLN / 6289PLN |
| Cassandra Administration - Wrocław, ul.Ludwika Rydygiera 2a/22 | śr., 2017-10-11 09:00 | 18890PLN / 6124PLN |
| Cassandra for Developers - Bespoke - Rzeszów, Plac Wolności 13 | wt., 2017-10-17 09:00 | 16600PLN / 5630PLN |
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