Am I using cassandra effectively?

I have a table

CREATE TABLE user_info (
    userId uuid PRIMARY KEY,
    userName varchar,
    fullName varchar,
    sex varchar,
    bizzCateg varchar,
    userType varchar,
    about text,
    joined bigint,
    contact text,
    job set<text>,
    blocked boolean,
    emails set<text>,
    websites set<text>,
    professionTag set<text>,
    location frozen<location>
);

create table publishMsg
(
    rowKey uuid,
    msgId timeuuid,
    postedById uuid,
    title text,
    time bigint,
    details text,
    tags set<text>,
    location frozen<location>,
    blocked boolean,
    anonymous boolean,
    hasPhotos boolean,
    esIndx boolean, 
    PRIMARY KEY(rowKey, msgId)      
) with clustering order by (msgId desc);

create table publishMsg_by_user
(
    rowKey uuid,
    msgId timeuuid,
    title text,
    time bigint,
    details text,
    tags set<text>,
    location frozen<location>,
    blocked boolean,
    anonymous boolean,
    hasPhotos boolean,
    PRIMARY KEY(rowKey, msgId)      
) with clustering order by (msgId desc);

CREATE TABLE followers
(
    rowKey UUID,
    followedBy uuid,
    time bigint,
    PRIMARY KEY(rowKey, orderKey)
);

      

        
        
        
      

    

• I am doing 3 INSERT statements in BATCH to place data in a table publishMsg

publishMsg_by_user

followers
  
  .

• To show one message, I have to query three SELECT queries on another table:

publishMsg

- to receive a message about the publication, where rowkey

and msgId

.

userInfo

- get fullName

based onpostedById

followers

- know if it fits the postedById

given topic or not

Is this a good way to use cassandra? will be efficient because the scanned data cannot fit into one table.