Are NoSQL databases the best choice for more efficiently querying large amounts of data?
We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.
Are NoSQL databases the best choice for more efficiently querying large amounts of data?
We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.
Are NoSQL databases the best choice for more efficiently querying large amounts of data?
We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.
Are NoSQL databases the best choice for more efficiently querying large amounts of data?
We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.
Are NoSQL databases the best choice for more efficiently querying large amounts of data?
We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.
Handling thousands of cassandra insert/updates
I have mobile app with backend server running in nodejs with cassandra as database. The app is like social network where you can share pictures and follow other people. Some operation like updating username, the nodejs runs select query to find all pictures shared by user and updates the username there and some other tables wherever username is present and then finally returns.
Handling thousands of cassandra insert/updates
I have mobile app with backend server running in nodejs with cassandra as database. The app is like social network where you can share pictures and follow other people. Some operation like updating username, the nodejs runs select query to find all pictures shared by user and updates the username there and some other tables wherever username is present and then finally returns.
Handling thousands of cassandra insert/updates
I have mobile app with backend server running in nodejs with cassandra as database. The app is like social network where you can share pictures and follow other people. Some operation like updating username, the nodejs runs select query to find all pictures shared by user and updates the username there and some other tables wherever username is present and then finally returns.
Cassandra guide unable to connect to any server
I am trying following the cassandra getting started.
OS compatility for Cassandra 4.x
I need to upgrade my cluster 3.x to 4.x apache cassandra on RHEL 7.9 virtual machine in staging environment. On client site, apache 4.x seem to compatible up RHEL & Centos 7.6, so I’m curious what are the expected outcomes if I run cluster 4.x on RHEL 7.9 in production environment in the future?