Update example environment style <noupdate>

src/year1/machine-learning-and-data-mining/sections/_data_lake.tex

@@ -25,7 +25,7 @@
                 Less expensive.
         \end{descriptionlist}
 
-        \begin{figure}[ht]
+        \begin{figure}[H]
             \centering
             \includegraphics[width=0.5\textwidth]{img/_storage.pdf}
             \caption{Data storage technologies}
@@ -155,7 +155,7 @@
     \item[Speed layer] 
         Receives the data and prepares real-time views. The views are also stored in the serving layer.
 \end{description}
-\begin{figure}[ht]
+\begin{figure}[H]
     \centering
     \includegraphics[width=0.5\textwidth]{img/lambda_lake.png}
     \caption{Lambda lake architecture}
@@ -165,7 +165,7 @@
 \marginnote{Kappa lake}
 The data are stored in a long-term store.
 Computations only happen in the speed layer (avoids lambda lake redundancy between batch layer and speed layer).
-\begin{figure}[ht]
+\begin{figure}[H]
     \centering
     \includegraphics[width=0.5\textwidth]{img/kappa_lake.png}
     \caption{Kappa lake architecture}
@@ -181,7 +181,7 @@ Framework that adds features on top of an existing data lake.
     \item Unified batch and streaming
     \item Schema enforcement
 \end{itemize}
-\begin{figure}[ht]
+\begin{figure}[H]
     \centering
     \includegraphics[width=0.7\textwidth]{img/delta_lake.png}
     \caption{Delta lake architecture}