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1. Studio One 4.5 Manual

• May 22, 2019  PreSonus is now shipping Studio One 4.5, a major update to its powerful yet easy-to-use recording and production software. With more than 70 new features and improvements, this free update for Studio One 4 users adds several of the most requested features from the Studio One user community and adds advanced tools that streamline professional audio and MIDI production workflows.
• Jul 12, 2019  PreSonus Announce Studio One 4.5.2 Update. PreSonus, makers of Studio One, has announced version 4.5.2 of their popular DAW. The update includes some minor new features and extensive bug fixes. ● Fat Channel Support for increased Q value on parametric EQ for Series III mixers. This affects Q automation in songs created in previous versions.

Studio One 4.5 Manual

• The Hadoop Container transformation enables you to connect all the sources and targets for the various steps in a container step. This container step allows for one connection to the Hadoop Cluster in the context of a SAS Data Integration Studio job. Then, all of the steps that are included in the container are submitted during the connection.
• The Hadoop File Reader and Hadoop File Writer transformations support reading and writing files from and to the Hadoop Cluster into SAS in the context of a SAS Data Integration Studio job.
• The Hive transformation supports submitting Hive code to the Hadoop Cluster in the context of a SAS Data Integration Studio job. Hive is a data warehouse system for Hadoop. You can easily summarize data, run ad hoc queries, and generate the analysis of large data sets stored in file systems that are compatible with Hadoop. Hive also enables you to project structure onto this data and query the data by using an SQL-like language called HiveQL.
• The Map Reduce transformation supports submitting MapReduce code to the Hadoop Cluster in the context of a SAS Data Integration Studio job. Hadoop MapReduce enables you to write applications that reliably process vast amounts of data in parallel on large clusters. A MapReduce job splits the input data set into chunks that are processed by the map tasks in parallel. The outputs of the maps are sorted and then input to the reduce tasks. The input and the output of the job are typically stored in a file system.
• The Pig transformation supports submitting Pig code to the Hadoop Cluster in the context of a SAS Data Integration Studio job. The transformation contains an enhanced, color-coded editor specific to the Pig Latin language. Pig Latin is a high-level language used for expressing and evaluating data analysis programs. Pig Latin supports substantial parallelization and can handle very large data sets.
• The Transfer From and Transfer To transformations support the transfer of data from and to the Hadoop Cluster in the context of a SAS Data Integration Studio job.
• The Hadoop Monitor items in the Tools menu enable you to run reports that monitor the performance of a Hadoop Cluster.
• The Hive Source Designer enables you to register tables in a Hive database.