Add rounding and rename 'amt' to 'amount' wherever necessary

docs/modules/ROOT/pages/sql_stock_ticker_cloud.adoc

@@ -124,22 +124,22 @@ Because the data is randomly generated, you may have to wait several seconds for
 
 +
 ```sql
-SELECT ticker AS Symbol, ROUND(price,2) AS Price, amt AS "Shares Sold"
+SELECT ticker AS Symbol, ROUND(price,2) AS Price, amount AS "Shares Sold"
 FROM trades_topic;
 ```
 . Limit the output to one stock symbol. 
 +
 ```sql
-SELECT ticker AS Symbol, ROUND(price,2) AS Price, amt AS "Shares Sold"
+SELECT ticker AS Symbol, ROUND(price,2) AS Price, amount AS "Shares Sold"
 FROM trades_topic
 WHERE ticker = 'APPL';
 ```
 . Limit the output to one symbol and sales of over 50 shares. 
 +
 ```sql
-SELECT ticker AS Symbol, ROUND(price,2), amt AS "Shares Sold"
+SELECT ticker AS Symbol, ROUND(price,2) AS Price, amount AS "Shares Sold"
 FROM trades_topic
-WHERE ticker = 'VOO' AND amt > 50; 
+WHERE ticker = 'VOO' AND amount > 50;
 ```
 
 == Step 3. Enriching the Data
@@ -183,11 +183,11 @@ SELECT * FROM companies;
 . Use a JOIN to combine the static company information with the streaming data.
 +
 ```sql
-SELECT 
-    trades.ticker AS Symbol, 
-    companies.company as Company,
-     ROUND(trades.price,2) AS Price, 
-     trades.amt AS "Shares Sold"
+SELECT
+     trades.ticker AS Symbol,
+     companies.company as Company,
+     ROUND(trades.price,2) AS Price,
+     trades.amount AS "Shares Sold"
 FROM trades_topic AS trades
 JOIN companies
 ON companies.ticker = trades.ticker;
@@ -217,19 +217,18 @@ SELECT *
 . For our first aggregation, we'll display the minimum and maximum price for each stock over a 5 second window. (Output will not appear until 5 seconds have elapsed.)
 +
 ```sql
-SELECT 
+SELECT
      window_start,
-     window_end, 
-     ticker, 
-     ROUND(MAX(price),2) AS high, 
+     window_end,
+     ticker,
+     ROUND(MAX(price),2) AS high,
      ROUND(MIN(price),2) AS low
 FROM TABLE(TUMBLE(
      TABLE trades_ordered,
      DESCRIPTOR(trade_ts),
      INTERVAL '5' SECONDS
 ))
-GROUP BY 1,2,3
-;
+GROUP BY 1,2,3;
 ```
 This query will display the average price over a 5 second window, updating the result every second.
 +
@@ -276,15 +275,15 @@ CREATE OR REPLACE VIEW high_low AS
 . Join the ```trades_ordered``` stream and the ```high_low``` stream to display ticker symbol, high, low, and current price.
 +
 ```sql
-SELECT 
+SELECT
      tro.ticker AS Symbol,
-     tro.price AS Price,
+     ROUND(tro.price,2) AS Price,
      hl.high AS High,
      hl.low AS Low
 FROM trades_ordered AS tro
 JOIN high_low AS hl
-ON tro.ticker = hl.ticker 
-AND hl.window_end BETWEEN tro.trade_ts AND tro.trade_ts + INTERVAL '0.1' SECONDS; 
+ON tro.ticker = hl.ticker
+AND hl.window_end BETWEEN tro.trade_ts AND tro.trade_ts + INTERVAL '0.1' SECONDS;
 ```
 . Create a view for the average price display above. This creates another new data stream.
 +
@@ -319,9 +318,9 @@ AND pr.window_end BETWEEN tro.trade_ts AND tro.trade_ts + INTERVAL '0.1' SECOND;
 . Add a column that displays whether the stock value is up or down from the previous average.
 +
 ```sql
-SELECT 
-     tro.ticker AS Symbol, 
-     tro.price AS Price,
+SELECT
+     tro.ticker AS Symbol,
+     ROUND(tro.price,2) AS Price,
      pr.average AS Average,
      ROUND(((tro.price/pr.average)-1)*100,2) AS Percent_Change,
      CASE
@@ -331,7 +330,7 @@ SELECT
 FROM trades_ordered AS tro
 JOIN priceavg AS pr
 ON tro.ticker = pr.ticker
-AND pr.window_end BETWEEN tro.trade_ts AND tro.trade_ts + INTERVAL '0.1' SECOND; 
+AND pr.window_end BETWEEN tro.trade_ts AND tro.trade_ts + INTERVAL '0.1' SECOND;
 ```
 
 == Step 6: Create an SQL Job
@@ -343,12 +342,12 @@ Our job will populate a table in memory. To keep memory use at a minimum, the ou
 . Create a view that enriches `trades_ordered` view from Step 4 with the data in the `companies` IMap from Step 3.
 +
 ``` sql
-CREATE OR REPLACE VIEW tro_enriched AS 
-     SELECT 
-          tro.ticker AS ticker, 
+CREATE OR REPLACE VIEW tro_enriched AS
+     SELECT
+          tro.ticker AS ticker,
           companies.company as company,
-          ROUND(tro.price,2) AS price, 
-          tro.amt AS shares,
+          ROUND(tro.price,2) AS price,
+          tro.amount AS shares,
           tro.trade_ts
      FROM trades_ordered AS tro
      JOIN companies
@@ -380,7 +379,7 @@ SELECT * FROM high_low_enriched;
 +
 ```sql
 SELECT * FROM high_low_enriched
-     WHERE ticker = 'APPL';
+WHERE ticker = 'APPL';
 ```
 . Create an IMap to serve as a sink for the data generated by `high_low_enriched`.
 +
@@ -413,15 +412,15 @@ AS SINK INTO current_trade
 SELECT
      troe.ticker AS __key,
      troe.company AS company,
-     troe.price AS price,
+     ROUND(troe.price,2) AS price,
      troe.shares AS shares,
-     hl.high AS high,
-     hl.low AS low,
+     ROUND(hl.high,2) AS high,
+     ROUND(hl.low,2) AS low,
      troe.trade_ts
 FROM tro_enriched AS troe
 JOIN high_low AS hl
-ON troe.ticker = hl.ticker 
-AND hl.window_end BETWEEN troe.trade_ts AND troe.trade_ts + INTERVAL '0.1' SECOND; 
+ON troe.ticker = hl.ticker
+AND hl.window_end BETWEEN troe.trade_ts AND troe.trade_ts + INTERVAL '0.1' SECOND;
 
 ```
 . Verify that entries are being added to the `current_trade` map. Run this query multiple times to verify that the data is changing.