{"id":4616,"date":"2020-04-11T14:34:07","date_gmt":"2020-04-11T14:34:07","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=4616"},"modified":"2020-04-17T19:09:03","modified_gmt":"2020-04-17T19:09:03","slug":"google-products-and-storage-options-google-professional-data-engineer-gcp","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/google-products-and-storage-options-google-professional-data-engineer-gcp\/","title":{"rendered":"Google Products and Storage Options Google Professional Data Engineer GCP"},"content":{"rendered":"<p>Various storage systems in Google cloud are discussed with their uses.<\/p>\n<p>Cloud SQL<\/p>\n<ul>\n<li>A fully managed relational database service<\/li>\n<li>Easily set up and manage RDBMS &#8211; PostgreSQL, MySQL, and SQL Server in GCP<\/li>\n<li>Apt to be used for WordPress, backends, CRM tools, MySQL, PostgreSQL, and Microsoft SQL Servers<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Cloud Spanner<\/p>\n<ul>\n<li>A scalable relational database service<\/li>\n<li>Full transactions support<\/li>\n<li>Provides strong consistency and high availability<\/li>\n<li>Useful for mission-critical applications<\/li>\n<li>Provides scale insurance<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Cloud Bigtable<\/p>\n<ul>\n<li>NoSQL database service from GCP<\/li>\n<li>Provides low latency reads<\/li>\n<li>Supports high throughput writes<\/li>\n<li>Enables scalability and reliability<\/li>\n<li>Suitable for large analytical workloads and low-latency applications<\/li>\n<li>Store large amount of structured objects.<\/li>\n<li>No support for SQL&#8217;s queries or multi-row transactions.<\/li>\n<li>Provision for capacity petabytes with a maximum unit size of 10 megabytes per cell and 100 megabytes per row.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Cloud Memorystore<\/p>\n<ul>\n<li>A managed in-memory data store service for Redis<\/li>\n<li>Useful for sub-millisecond data access using Redis<\/li>\n<li>Can build application caches<\/li>\n<li>Provides scalable, secure and highly available GCP infrastructure.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Cloud Firestore<\/p>\n<ul>\n<li>Managed, serverless, cloud-native NoSQL document database.<\/li>\n<li>Useful for client side mobile and web applications and gaming leaderboards<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Firebase Realtime Database<\/p>\n<ul>\n<li>A NoSQL database from GCP to store and sync data between users in real time.<\/li>\n<li>Useful for\n<ul>\n<li>creating onboarding flows<\/li>\n<li>rolling out new features<\/li>\n<li>building serverless apps<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>BigQuery<\/p>\n<ul>\n<li>Serverless, highly scalable, and cost-effective data warehouse service<\/li>\n<li>Lowers data warehouse costs as all infrastructure in GCP<\/li>\n<li>Useful for\n<ul>\n<li>real-time analytics<\/li>\n<li>advanced and predictive analytics<\/li>\n<li>large-scale events<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>Cloud Datastore<\/p>\n<ul>\n<li>NoSQL document database service<\/li>\n<li>Fully-managed service by GCP<\/li>\n<li>Easy scalability without configuration or downtime.<\/li>\n<li>Useful for\n<ul>\n<li>user profiles<\/li>\n<li>product catalogues<\/li>\n<li>mobile games.<\/li>\n<\/ul>\n<\/li>\n<li>Useful for web and mobile applications which may require massive scale in future<\/li>\n<li>Supports storage of unstructured objects, transactions and SQL-like queries.<\/li>\n<li>Provides terabytes of capacity<\/li>\n<li>maximum unit size of one megabyte per entity.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Cloud Storage<\/p>\n<ul>\n<li>For storing immutable blobs larger than 10 megabytes like images or movies.<\/li>\n<li>Provides huge capacity with a maximum unit size of five terabytes per object.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Select the right GCP database service<\/p>\n<ul>\n<li>Existing database &#8211; GCP database service<\/li>\n<li>Redis &#8211; Cloud Memorystore for Redis<\/li>\n<li>MemcacheD &#8211; App Engine for MemcacheD<\/li>\n<li>MySQL &#8211; Cloud SQL for MySQL<\/li>\n<li>PostgreSQL &#8211; Cloud SQL for PostgreSQL<\/li>\n<li>SQL Server &#8211; Cloud SQL for SQL Server<\/li>\n<li>HBase &#8211; Cloud Bigtable<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Use Case<\/p>\n<ul>\n<li>If need full SQL support with OLTP use Cloud SQL or Cloud Spanner. Cloud SQL provides terabytes capacity and Cloud Spanner provides petabytes capacity<\/li>\n<li>For big data analysis and interactive query use BigQuery<\/li>\n<li>For semi structured application use Cloud Datastore<\/li>\n<li>For analytical data with heavy read\/write events like Advertisement Tech, Financial or IoT data use Bigtable<\/li>\n<li>To store structured and unstructured, binary data like images\/ multimedia files and backups, use Cloud Storage<\/li>\n<li>For popular web frameworks use Cloud SQL<\/li>\n<li>For huge database applications more than 2 terabytes use Cloud Spanner. Use cases like financial trading and e-commerce.<\/li>\n<\/ul>\n<p>Feature Comparison Table<\/p>\n<table>\n<thead>\n<tr>\n<td><\/td>\n<td colspan=\"2\">Relational<\/td>\n<td colspan=\"4\">NoSQL \/ Nonrelational<\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><\/td>\n<td>Cloud Spanner<\/td>\n<td>Cloud SQL<\/td>\n<td>Cloud Bigtable<\/td>\n<td>Cloud Firestore<\/td>\n<td>Firebase Realtime Database<\/td>\n<td>Cloud Memorystore<\/td>\n<\/tr>\n<tr>\n<td>Scale insurance<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Data distribution<\/td>\n<td>Regional or global<\/td>\n<td>zonal<\/td>\n<td>Regional or global<\/td>\n<td>Regional or global<\/td>\n<td>zonal<\/td>\n<td>zonal<\/td>\n<\/tr>\n<tr>\n<td>OSS compatibility<\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td><\/td>\n<td>Yes<\/td>\n<\/tr>\n<tr>\n<td>Replica consistency<\/td>\n<td>strong<\/td>\n<td>strong<\/td>\n<td>eventual<\/td>\n<td>strong<\/td>\n<td>n\/a<\/td>\n<td>eventual<\/td>\n<\/tr>\n<tr>\n<td>Multi-primary<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Transactions (strong consistency)<\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Joins and complex queries<\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Ultra low latency (microsecond or single-digit ms)<\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td><\/td>\n<td>Yes<\/td>\n<\/tr>\n<tr>\n<td>Serverless<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Realtime sync to clients<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>In-memory<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td>Yes<\/td>\n<\/tr>\n<tr>\n<td>Direct client access<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Game state<\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Gaming leaderboard\/player profile<\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td><\/td>\n<td>Yes<\/td>\n<td><\/td>\n<td>Yes<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>Evaluating Cloud Storage Options<\/p>\n<p>The key considerations in evaluation of GCP data storage options, are:<\/p>\n<ul>\n<li>Scalability \u2013 Able to scale as per requirement<\/li>\n<li>Durability \u2013 High availability and consistency to store critical data<\/li>\n<li>Able to store unstructured\/semi-structured and structured data<\/li>\n<li>Free from fixed schema<\/li>\n<li>Separation of components Able to decouple storage, compute and other components for scaling of each.<\/li>\n<li>Cost Effective \u2013 Should be cost effective and offer pay as you use model.<\/li>\n<\/ul>\n<p>Functional requirements<\/p>\n<ul>\n<li>Data format to be stored &#8211; data type to store like transactional data, JSON objects, telemetry, search indexes, or flat files.<\/li>\n<li>Scale and structure. Need for data partitioning and total storage capacity needed<\/li>\n<li>Data size supported \u2013 Size of entities to store and will be stored as a document, or can be split across multiple<\/li>\n<li>Data relationships. Relationship to support one to one, one-to-many or many-to-many relationships<\/li>\n<li>Consistency model. \u2013 Level of consistency needed ACID needed or\u00a0 accept eventual consistency<\/li>\n<li>concurrency needed during data updation and synchronization, pessimistic or optimistic concurrency<\/li>\n<li>Schema flexibility. fixed schema or schema less needed<\/li>\n<li>Data lifecycle.<\/li>\n<li>Data movement. Level of data movement, ETL for moving data to data stores or data warehouses<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Non-functional requirements<\/p>\n<ul>\n<li>Performance and scalability. performance requirements needed for data ingestion or processing rates, acceptable response times for query<\/li>\n<li>Level of fault-tolerance needed, backup and restore capabilities<\/li>\n<li>Either distribute among multiple replicas or regions, replication capabilities needed<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Management and cost<\/p>\n<ul>\n<li>Managed service. managed service provided for easy management<\/li>\n<li>Region availability. available in all regions or selected ones<\/li>\n<li>Does data need to be\u00a0 migrated<\/li>\n<li>Proprietary versus OSS usage and license<\/li>\n<li>Overall cost.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Security<\/p>\n<ul>\n<li>encryption used, authentication mechanism needed<\/li>\n<li>audit log level of details and what can be audited<\/li>\n<li>Networking requirements. Any restriction in access to data<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>DevOps<\/p>\n<ul>\n<li>Skill set. Specific programming languages, operating systems, or other technology needed<\/li>\n<li>Clients client support for development languages<\/li>\n<li><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Various storage systems in Google cloud are discussed with their uses. Cloud SQL A fully managed relational database service Easily set up and manage RDBMS &#8211; PostgreSQL, MySQL, and SQL Server in GCP Apt to be used for WordPress, backends, CRM tools, MySQL, PostgreSQL, and Microsoft SQL Servers &nbsp; Cloud Spanner A scalable relational database&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[617],"tags":[619,623,622,618,631,621,628],"class_list":["post-4616","page","type-page","status-publish","hentry","category-google-gcp","tag-data-engineer","tag-gcp","tag-google-certification","tag-google-cloud","tag-google-products-and-storage-options","tag-professional-data-engineer","tag-storage-models"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Google Products and Storage Options Google Professional Data Engineer GCP - 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