Implement a Partition Strategy for Streaming Workloads – The Storage of DataImplement a Partition Strategy for Streaming Workloads – The Storage of Data

Chapter 7, “Design and Implement a Data Stream Processing Solution,” discusses partitioning data within one partition and across partitions. Exercise 7.5 features the hands‐on implementation of partitioning streaming workloads. Partitioning [...]

Deliver Data in Parquet Files – The Storage of DataDeliver Data in Parquet Files – The Storage of Data

In Exercise 4.7 you performed a conversion of brain waves stored in multiple CSV files using the following PySpark code snippet: %%pysparkdf = spark.read.option(“header”,”true”) \  .csv(‘abfss://*@*.dfs.core.windows.net/EMEA/brainjammer/in/2022/04/01/18/*’)display(df.limit(10)) Then you wrote that [...]

Azure Synapse Analytics Develop Hub Notebook – The Storage of DataAzure Synapse Analytics Develop Hub Notebook – The Storage of Data

df = spark.read.option(“header”,”true”) \ .csv(‘abfss://@.dfs.core.windows.net/EMEA/brainjammer/in/2022/04/01/18/*’) display(df.limit(10)) FIGURE 4.21 Azure Synapse Analytics Develop hub load Notebook FIGURE 4.22 Azure Synapse Analytics Develop hub write Notebook Parquet files In this exercise you [...]