DTM Data Modeler

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand.

Data Warehouse Studio enables software architects, data modelers, and business analysts to contribute directly to the outcome of data warehouse and business intelligence projects. Using Data Warehouse Studio’s graphical user interface, these domain experts define business rules, data mappings, desired coding patterns, and other design elements. Once these requirements and technical specifications have been entered in Data Warehouse Studio’s central repository, the platform automatically generates 99-100% of the SQL and ETL code required for the project, eliminating the need for hand-coding. For most projects, Data Warehouse Studio completely eliminates the need to manually code ETL or SQL processes. Data Warehouse Studio is a design time technology that provides a single integrated platform for all project participants to capture requirements and technical specifications.

Enterprise Architect is an enterprise wide solution to visualize, analyze, model, test and maintain all of your systems, software, processes, and architectures. Enterprise Architect is the ideal platform to help you to stay in control of your workspace, support your colleagues and team, enable collaboration and build confidence within your most complex projects.