Please help me answer and formulate the following queries in relational algebra and then implement them in SQL. 1. Produce a relation that is containing all hotel names 2. Produce a relation that is containing all rooms at all hotels. Display hotelName and city and room type 3. Produce a relation that is containing all hotel names with a room price above £50. 4. List the price and type of all rooms at the Grosvenor Hotel. 5. List the name of guests who are staying at the Grosvenor Hotel. The following tables form part of a database held in a relational DBMS:- Hotel (hotelNo, hotelName, city) Room (roomNo, hotelNo, type, price) Booking (hotelNo, guestNo, dateFrom, dateTo, roomNo) Guest (guestNo, guestName, guestAddress) where Hotel contains hotel details and hotelNo is the primary key; Room contains room details for each hotel and (roomNo, hotelNo) forms the primary key; Booking contains details of the bookings and (hotelNo, guestNo, dateFrom) forms the primary key; and Guest contains guest details and guestNo is the primary key. Formulate

The blank button automatically displays next to the data when you select a range of numeric data which is an available option for creating a chart

Which excel file extension stores automated steps for repetitive tasks?

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?