Amazon DynamoDB
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Amazon DynamoDB is a fully managed NoSQL database service designed for fast performance and easy scalability, suitable for applications with fluctuating traffic. It utilizes concepts like sharding and partitioning to distribute data effectively, ensuring efficient query and storage capabilities. The document also details creating and managing a DynamoDB table, highlighting its benefits for mobile and web applications while noting limitations regarding complex queries and transactions.
Amazon DynamoDB
- 2. OUTLINE 04 Here you could describe the topic of the section 05 Here you could describe the topic of the section 06 01 02 03 Timeline Introduction NoSQL Database Features Project Stages Our Team
- 3. Timeline of Database Technology
- 4. INTRODUCTION ● Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. ● DynamoDB lets you offload the administrative burdens of operating and scaling a distributed database.
- 8. a hotel chain with hundreds of new guests per day a small app with growing number of users! a music player with countless songs and thousands of users!
- 9. We can use Amazon DynamoDB to create a database that can store and retrieve any amount of data, and serve any level of request traffic.
- 10. Important Concepts in NoSQL! SHARDING PARTITIONING
- 11. As traffic grows to your site, your database might end up being a bottleneck as its gets overloaded with more requests. And scaling by upgrading the single database server to something more powerful starts to get very EXPENSIVE!
- 12. Sharding ! (or Horizontal Partitioning) This is where sharding may help! As breaking your big single logical database into small databases means load is now distributed among multiple machines and the size is more scalable as you can just add on another node to increase the size. Keep adding more nodes! So, sharding can be implemented at both the application level or the database level.
- 13. Vertical Partitioning! Where we split data by columns or features so we have a microblogging platform like Twitter or the users will have certain information about them in the database such as their tweets, followers and favorites. If we partition this data vertically, then we store tweets in one database, followers in the next and favorites in another.
- 14. Data Partitioning Criteria-Algorithmic and Dynamic
- 15. A basic Demonstration! Creating our first DynamoDB table, adding items to our table, and then query the table to find the items through the AWS Management Console.
- 16. Create and Query a NoSQL table with Amazon DynamoDB Open the AWS Management Console. Type DynamoDB in the search bar and choose to open the DynamoDB console.
- 17. a. In the DynamoDB console, choose Create table. b. We will use a music library as our use case In the Table name box, type Music. Step 1 . Create a NoSQL table in DynamoDB
- 18. c. The partition key is used to spread data across partitions for scalability. It’s important to choose an attribute with a wide range of values and that is likely to have evenly distributed access patterns. Type Artist in the Partition key box. d. Because each artist may write many songs, you can enable easy sorting with a sort key. Select the Add sort key check box. Type songTitle in the Add sort key box.
- 19. e. Next, you will enable DynamoDB auto scaling for your table. DynamoDB auto scaling will change the read and write capacity of your table based on request volume. f. Scroll down the screen past Secondary indexes, Provisioned capacity, and Auto Scaling to the Create button. choose Create. When the Music table is ready to use, it appears in the table list with a check box .
- 20. a. Select the Items tab. On the Items tab, choose Create item . b. In the data entry window, type the following: ● For the Artist attribute, type No One You Know. ● For the songTitle attribute, type Call Me Today. Choose Save to save the item. Step 2 . Add data to the NoSQL table in DynamoDB
- 21. c. Repeat the process to add a few more items to your Music table: ● Artist: No One You Know; songTitle: My Dog Spot ● Artist: No One You Know; songTitle: Somewhere Down The Road ● Artist: The Acme Band; songTitle: Still in Love ● Artist: The Acme Band; songTitle: Look Out, World
- 22. In DynamoDB, query operations are efficient and use keys to find data. Scan operations traverse the entire table. a. In the drop-down list in the dark gray banner above the items, change Scan to Query. For your first query, do the following: ● In the Artist box, type No One You Know, and choose Start search. All songs performed by No One You Know are displayed. Step 3. Query the NoSQL table in DynamoDB
- 23. Change the Query drop-down list back to Scan. Select the check box next to The Acme Band. In the Actions drop-down list, choose Delete. You will be asked whether to delete the item. Choose Delete and your item is deleted. Step 4. Delete an existing item. Step 5. Delete a NoSQL table. In the console, choose the option next to Music table and then choose delete table. In the confirmation dialog box, choose delete.
- 24. Let’s understand more ! DynamoDB is a great fit for mobile, web, gaming, ad tech, and IoT applications where scalability, throughput, and reliable performance are key considerations.
- 25. How does Dynamo DB work?
- 26. When we create the table we specify Partition Key and an optional Sort Key, we can’t change these later but rest of the attributes (columns) of item (row) can change. Also each item can have different set of attributes. Table Table Keys Partition Key : authorId Sort Key : publicationDate
- 27. A DynamoDB item is nothing but a row in the table. We can change any attribute of an item except its keys: partition key or sort key, these keys are an identification for an item; if we have to change these keys, then the only option is to delete an item and create it again. Item Data Types DynamoDB supports different data types for attributes of an item, they can be mainly categorised into the following: Scalar Types : Number, String, Binary, Boolean and Null. Document Types : List and Map Set Types : Number Set, String Set, and Binary Set.
- 28. Partition & Sort Keys Partition Key This key is mandatory for the DynamoDB table and item. DynamoDB partitions the items using this key, that’s why this key is also called as the partition key and sometimes is also referred as a Hash Key. Sort key This key can be used in conjunction with the Partition key but it is not mandatory. This is useful while querying the data relating a Partition key. We can use several different filter functions on the sort key such as begins with, between etc. Some times it is also referred to as a Range Key.
- 29. Batch APIs BatchGetItem : This can be used to fetch items from different tables using Partition Key and Sort Key. In a single BatchGetItem call, we can fetch up to 16MB data or 100 items. BatchWriteItem: This can be used to delete or put items on one or more tables in DynamoDB in one call. We can write up to 16 MB data, which can be 25 put and delete requests.
- 30. Query & Scan
- 31. INDEXES
- 32. Main features of Dynamo DB Performance and Scalability Automatic Data Management Time To Live Storage of inconsistent schema items Access to control rules
- 34. ● Duolingo uses Amazon DynamoDB to store 31 billion items in support of an online learning site that delivers lessons for 80 languages. ● The U.S. startup reaches more than 18 million monthly users around the world who perform more than six billion exercises using the free Duolingo lessons. ● The company relies heavily on Amazon DynamoDB not just for its highly scalable database, but also for high performance that reaches 24,000 read units per second and 3,300 write units per second. Duolingo Example
- 35. ● Doppler radar system that sits behind home plate, sampling the ball position 2,000 times a second? Or that there are two stereoscopic imaging devices, usually positioned above the third-base line, that sample the positions of players on the field 30 times a second. ● All these data transactions require a system that is fast on both reads and writes. The MLB uses a combination of AWS components to help process all this data. DynamoDB plays a key role in ensuring queries are fast and reliable. MLB Example
- 37. DRAWBACKS ● When multi-item or cross table transactions are required. ● When complex queries and joins are required ● When real-time analytics on historic data is required
- 38. CONCLUSIÓN ● As a non-relational database, DynamoDB is a reliable system. ● It comes with options to backup, restore and secure data, and is great for both mobile and web apps, with the exception of special services like financial transactions and healthcare, you can redesign almost any application with DynamoDB. ● This non-relational database is extremely convenient to build event-driven architecture and user-friendly applications. Any shortcomings with analytic workloads are easily rectified with the use of an analytic-focused SQL layer, making DynamoDB a great asset for users.
- 39. ADVANCED TOPICS IN DYNAMODB - Data modeling - DynamoDB Scaling - Understanding partitions - Design patterns and best practices
- 40. THANKS! Presented By- TUSHALI CHETTY (16070124059) KRITI KATYAYAN (16070124024) AMEYA KSHIRSAGAR (16070124025) ADITYA NAIK (16070124033)