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MySQL Performance & Tuning training course description This MySQL Performance & Tuning course is designed for Database Administrators, Application Developers and Technical Consultants who need to monitor and tune the performance of MySQL servers and databases. The course provides practical experience in monitoring and tuning MySQL servers and databases. Note: This MySQL Performance & Tuning course does not cover clustering (other than at overview level), replication or non-standard storage engines such as Falcon and PBXT. What will you learn Develop a monitoring and tuning plan Use server configuration and status variables. Identify and improve problem queries. Make efficient use of indexes. Monitor and size memory caches and locks. Tune the MyISAM and InnoDB storage engine. Evaluate the use of partitioning for performance. MySQL Performance & Tuning training course details Who will benefit: Anyone who wishes to monitor and tune MySQL performance. Prerequisites: Delegates must have a working knowledge of MySQL Database Administration Duration 3 days MySQL Performance & Tuning training course contents Introduction to performance tuning Tuning overview, Resolving performance issues, Recommended approach to tuning, Items to evaluate, Where to look, Planning a monitoring routine, Building a new database for performance, Tuning an existing database, Setting suitable goals. MySQL performance tuning tools Administration tools, the information schema, performance-related SHOW commands, benchmarking tools, the MySQL performance schema, MonYog. Hands on Obtaining performance information. Schema design Normalisation, de-normalisation, naming conventions, load generation, stress testing and benchmarking tools, selecting data types, data types, character sets, choosing storage engines. Hands on effects of design on performance. Statement tuning Overview of statement tuning, identifying problem queries, the optimizer, explain, explain extended. Hands on identifying problem queries and using explain. Indexes Index overview, Types of index, Index tuning, Indexes and joins. Hands on Indexes and performance. Server configuration and monitoring Server configuration variables, server status variables, table cache, multi-threading, connection issues, query cache. Hands on setting and interpreting server variables and caching. Locking Types of locking, locking and storage engines, effects of locking on performance. Hands on locking and performance. The InnoDB engine Transactions, crash recovery, locking, monitoring InnoDB, caches and buffers, configuring data files, configuring the log files. Hands on InnoDB configuration and performance. Other storage engines MyISAM engine, merge engine, archive engine, memory engine, blackhole engine, CSV engine, the Spider engine, the ColumnStore engine, the MyRocks engine, mixing sorage engines. Hands on storage engine performance. Overview of clustering and performance Advantages of performance, advantages of clustering, performance issues and clustering, the NDBCluster engine, the Galera cluster, the Percona XtraDB cluster, MySQL InnoDB cluster, the federated engine, the federatedX engine, overview of other high availability techniques. NOSQL and Mencached overview. Dumping and loading data SQL statements versus delimited data, parameters affecting dump performance, parameters affecting load performance. Hands on dump and load performance. Partitioned tables Partitioned tables concepts, range partitioning, hash partitioning, key partitioning, list partitioning, composite partitioning or subpartitioning, partition pruning. Hands on partitioned table performance.
MySQL for developers training course description This MySQL Developers training course is designed for MySQL Developers who have a good understanding of a MySQL database and experience of using SQL commands. The course provides further practical experience in more advanced MySQL commands and SQL statements including Stored Routines, Triggers and Event Scheduling. What will you learn Provide the skills needed to write more advanced queries and database maintenance statements on a MySQL database. Use advanced features of the MySQL Client. Use advanced data types. Manage the structure of databases and tables. Manage and using indexes. Write complex SQL query statements. Use advanced SQL expressions. Use advanced SQL functions. Perform advanced Insert, Update, Delete, Replace and Truncate Operations. Use user variable syntax and properties. Import and export data from within MySQL. Import and export data from the command line. Perform complex joins to access multiple tables. Perform complex subqueries. Create, manage and us views. Use prepared statements. Create and use stored routines. Create and use triggers. Obtain database metadata. Optimize queries. Work with the main storage engines. Debug MySQL applications. MySQL for developers training course details Who will benefit: MySQL Developers who have a basic understanding of a MySQL database and SQL commands as covered on the Introduction to MySQL course. Prerequisites: MySQL foundation Duration 5 days MySQL for developers training course contents Introduction Administration and Course Materials, Course Structure and Agenda, Delegate and Trainer Introductions. Client/server concepts MySQL client/server architecture, Server modes, Using client programs, Logging in options, Configuration files, Precedence of logging in options Hands on Using client/server The MySQL client program Using MySQL interactively, The MySQL prompts, Client commands and SQL statements, Editing, Selecting a database, Help, Safe updates, Using script files, Using a source file, Redirecting output into a file, Command line execution, Mysql output formats, Overriding the defaults, Html and xml output, MySQL Utilities. Hands on Using the MySQL client program Data types Bit data type, Numeric data types, Auto_increment, Character string data types, Character sets and collation, Binary string data types, Enum and Set data types, Temporal data types, Timezone support, Handling Missing Or Invalid Data Values, SQL_MODE options. Hands on Using data types Identifiers Using Quotes with identifier naming, Case sensitivity in Identifier naming, Qualifying columns with table and database names, Using reserved words as identifiers, Function names Hands on Using identifiers Databases Database properties, Creating a database, Selecting a database, Altering databases, Dropping databases, Obtaining database metadata, The SHOW command, The INFORMATION_SCHEMA database, The SHOW CREATE command Hands on Using databases Tables and indexes Table properties, Creating tables, Create table using Select or Like, Temporary tables and memory tables, Altering tables, Adding columns, Changing column widths and types, Renaming columns, Dropping columns, Adding constraints, Dropping constraints, Renaming tables, Change the table storage engine, Multiple alterations, Dropping tables, Emptying tables, Obtaining table metadata, Show create table, The information_schema, Index introduction, Structure of a mysql index, Creating and dropping indexes, Creating an index, Altering a table to add an index, Specifying index type, Dropping indexes, Obtaining Index Metadata. Hands on Creating, altering and dropping tables/indexes Querying for data The SQL select statement and MySQL differences, Advanced order by, Order by and collation, Order by with enum datatype, Order by with Set datatype, Ordering with distinct and group by Special features of union, Limit and order by clauses, Group By clause, Group_concat, Using Rollup in a Group By clause. Hands on Querying for data SQL Expressions and functions Components of expressions, Nulls, Numeric expressions, String expressions, Temporal expressions, Comparison functions, Flow control functions, Numeric functions, String functions, Temporal functions. Hands on Using expressions and functions Updating data Update operations and privileges, Inserting rows, Insert using a set clause, Inserting duplicate values, Replacing rows, Updating rows, Update using the order by and limit clauses, Deleting rows, The delete and truncate statements. Exercise: Inserting, updating, replacing and deleting data Connectors MySQL client interfaces, MySQL connectors, Oracle and community conectors, Connecting to MySQL server using Java and PHP connectors, MySQL and NoSQL, Innodb integration with memcached. Obtaining database metadata What is metadata?, The mysqlshow utility, The show and describe commands, Describing tables, The information_schema, Listing tables, Listing columns, Listing views, Listing key_columns_usage. Hands on Obtaining database metadata Debugging Mysql error messages, The show statement, Show errors, Show count(*) errors, Show warnings, Show count(*) warnings, Note messages, The perror utility. Hands on Debugging Joins Overview of inner joins, Cartesian product, Inner joins with original syntax, Non equi-join, Using table aliases to avoid name clashes, Inner Joins With ISO/ANSI Syntax, Outer Joins, Left outer joins, Right outer joins, Full outer joins, Updating multiple tables simultaneously, Updating rows in one table based on a condition in another, Updating rows in one table reading data from another, Deleting from multiple tables simultaneously, Deleting rows in one table based on a condition in another. Hands on Coding joins Subqueries Types of subquery, Multiple-column subqueries, Correlated subqueries, Using the ANY, ALL and SOME operators, Using the EXISTS operator, Subqueries as scalar expressions, Inline views, Converting subqueries to joins, Using subqueries in updates and deletes. Hands on Coding subqueries Views Why views are used, Creating views, View creation restrictions, View algorithms, Updateable views, Altering and dropping views, Displaying information about views, Privileges for views. Hands on Using views Import and Export Exporting using SQL, Privileges required to export data, Importing using SQL, Messages when loading data, Privileges required to load data, Exporting from the command line, Mysqldump main options, Importing from the command line, Mysqlimport main options. Hands on Importing and exporting User variables and prepared statements Creating User variables, User variables in a select, Prepared statements, The prepare statement, The execute statement, The deallocate statement, Using prepared statements in code, with connectors. Hands on Using variables and prepared statements Introduction to stored routines Types of stored routines, Benefits of stored routines, Stored routine features, Differences between procedures and functions, Introduction to the Block, Declaring variables and constants, Assigning values to variables, Definer rights and invoker rights, Using SELECT in stored routines, Altering and dropping stored routines, Obtaining stored routine metadata, Stored routine privileges and execution security. Hands on Writing simple stored routines Stored routines - program logic The IF .. THEN .. ELSEIF construct, The CASE statement, The basic loop, The while loop, The repeat loop, The iterate statement, Nested loops. Hands on Writing stored routines with program logic Stored routines - exception handlers and cursors Dealing with errors using Exception handlers, Cursors, What is a cursor?, Cursor operations, Declaring cursors, Opening and closing cursors, Fetching rows, Status checking. Hands on Writing stored routines with program logic Procedures with parameters Creating procedures with parameters, Calling Procedures With Parameters. Hands on Writing stored routines with parameters Functions What is a function?, The create function statement, Executing functions, Executing functions from code, Executing functions from SQL statements, The deterministic and SQL clauses. Hands on Writing functions Triggers Trigger creation, Restrictions on triggers, The create trigger statement, Using the old and new qualifiers, Managing triggers, Destroying triggers, Required privileges. Hands on Writing triggers Basic optimizations Normalisation of data to third normal form, Using indexes for optimization, General query enhancement, Using Explain to analyze queries, Choosing an INNODB or MYISAM storage engine, Using MySQL Enterprise Monitor in query optimization. Hands on Making use of basic optimizations More about indexes Indexes and joins Hands on Investigating indexes and joins
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Show all 81SQL, NoSQL, Big Data and Hadoop Level 4
By Course Cloud
Course Overview The SQL, NoSQL, Big Data and Hadoop Level 4 course is designed to provide aspiring data engineers with the skills to fast track their career. It will introduce you to key database and data engineering concepts, taking you through the different classifications of databases and software. You will learn how to build a data-driven organisation step-by-step, best practices for data analysis, how to use Elasticsearch as a search engine, and much more. This course is open to everyone and can be studied on a part-time or full-time basis. It is ideal for anyone looking to work in this field or gain a better understanding of Hadoop from a database perspective. Fast track your career by enrolling today and learn tips and shortcuts from experienced industry professionals. This best selling SQL, NoSQL, Big Data and Hadoop Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth SQL, NoSQL, Big Data and Hadoop Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The SQL, NoSQL, Big Data and Hadoop Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The SQL, NoSQL, Big Data and Hadoop Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the SQL, NoSQL, Big Data and Hadoop Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the SQL, NoSQL, Big Data and Hadoop Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the SQL, NoSQL, Big Data and Hadoop Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
Managed NoSQL Database In The Cloud - Amazon AWS DynamoDB
By Packt
Work with tables, partition, indexes, encryption, and database administration in the AWS Cloud with AWS DynamoDB
Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00
Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00
DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB
By Nexus Human
Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is database developers who plan to migrate their MongoDB or Cassandra DB workloads to Azure using Cosmos DB. Overview Building Globally Distributed Applications with Cosmos DB Migrate MongoDB Workloads to Cosmos DB Migrate Cassandra DB Workloads to Cosmos DB This course will teach the students what is Cosmos DB and how you can migrate MongoDB and Cassandra workloads to Cosmos DB. Building Globally Distributed Applications with Cosmos DB Cosmos DB overview Cosmos DB APIs Provisioning Throughput Partitioning/Sharding Best Practices Migrate MongoDB Workloads to Cosmos DB Understand Migration Benefits Migration Planning Data Migration Application Migration Post-migration considerations Migrate Cassandra DB Workloads to Cosmos DB Understand Migration Benefits Migration Planning Data Migration Application Migration Post-migration considerations Additional course details: Nexus Humans DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
MongoDB Tutorial for Beginners (2022)
By Packt
Master MongoDB, an open-source document database and leading NoSQL database that provides high performance, high availability, and automatic scaling. This course covers the MongoDB Community version for beginners and provides over 50 live-running queries, including creating new databases and tables.
Build Full-Stack Projects with FARM Stack
By Packt
A beginner-level course that will help you learn all you need to know about building applications using Python 3, FAST API, MongoDB, and NoSQL as well as front-end technologies such as HTML, CSS, JSX, and REACT JS with live demonstrations. You need to know the basics of HTML, CSS, and JavaScript to get started
Firebase and Cloud Firestore for Android
By Packt
Learn all about the brand new Firestore, a NoSQL document based technology
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