Finding the right tools to design and tune your big data queries can be difficult. Data Lake makes it easy through deep integration with Visual Studio, Eclipse, and IntelliJ, so that you can use familiar tools to run, debug, and tune your code. Visualizations of your U-SQL, Apache Spark, Apache Hive, and Apache Storm jobs let you see how your code runs at scale and identify performance bottlenecks and cost optimizations, making it easier to tune your queries. Our execution environment actively analyzes your programs as they run and offers recommendations to improve performance and reduce cost. Data engineers, DBAs, and data architects can use existing skills, like SQL, Apache Hadoop, Apache Spark, R, Python, Java, and .NET, to become productive on day one.