user: What are the differences between Data Lakehouse vs Data Warehouse vs Data lake

assistant: 1. data warehouse delivers clean, structured data for BI analytics, while a data lake permanently and cheaply stores data of any nature in any format. Many organizations use data lakes for data science and machine learning, but not for BI reporting due to its unvalidated nature.
2. data lakehouse combines the advantage of the data lake and data warehouse. the reliable transactions of a data warehouse and the scalability and low cost of a data lake. Single Source of Truth. Unified data from all sources
3. The data lake table format is the most important component of a lakehouse architecture. There must be some way to organize and manage all the raw data files in the data lake storage. Table formats help abstract the physical data structure’s complexity and allow different engines to work simultaneously on the same data. The table format in a lakehouse architecture facilitates the ability to do data warehouse-level transactions (DML) along with ACID guarantees. Some of the other critical features of a table format are schema evolution, expressive SQL, time travel, data compaction (ie Delta Lake). Apache Spark can also be used as the query engine

user: Based on the passage provided, who is allowed to drive the beach strand route that connects Bald Head Island and Fort Fisher?

assistant: Only government officials are allowed to drive the beach strand route that connects Fort Fisher and Bald Head Island.

user: Vanessa and Lauren are both 32-year-old women with different levels of exercise experience. Vanessa, who weighs 124 lbs, has lifted weights before but Lauren, who weighs 166 lbs, has never participated in resistance training. Both women participate in initial fitness assessments and want your advice about starting a muscular fitness program at your exercise facility. Choose a different test to measure each woman's upper body muscular strength. Briefly explain the procedures for each assessment. What common errors should you watch for?

assistant: For Vanessa, we’ll choose for her to perform a one-rep max assessment, specifically with the bench press. This is because she has experience with lifting weights. To start, she should warm up by completing several submaximal repetitions. We’re going to select an initial weight of 50-70% of her capacity, and progressively increase resistance by 2.5 to 20 kg until the subject cannot complete the repetitions. The final weight lifted should be the absolute 1-RM. Some common error we want to watch for is to make sure that the repetitions are performed at the same speed of movement and range of motion to ensure consistency. Additionally, on the setup portion, we should check the surroundings for hazards, set the bar to the right height for Vanessa based on her arm length, remove safety bars from both sides of the rack, secure weights correctly with safety clips, and have a spotter present. We should also make sure there is a proper progression of weight lifted, she’s not bouncing the bar off her chest, that she’s maintaining a neutral spine, and that she is breathing during the lift. For Lauren, because she has never participated in resistance training, we will select the flexed arm support test, as she may not be able to perform the dynamic push-up assessment properly. To start, she should have her hands outside her shoulders, and keep her back and legs straight. She should lower her body until the upper arm is parallel to the floor or the elbow is flexed at 90 degrees. She should be supporting her body in a push-up position from the knees. Some common mistakes include not breathing during the assessment, having a too-wide or too-narrow width for her hands, not maintaining a straight back and legs, and not lowering her body enough for the assessment.