Enterprises moving their legacy workloads to on-premise/cloud modern data platforms have been facing the dilemma of deciding between migrating as-is and total re-engineering. Building a strong foundation for a modern data warehouse architecture that supports sophisticated analytics using a cloud/hybrid/on-premise strategy has become an imperative.
Dec 06 - 07, 2019
Oct 23, 2019
Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms, powerful automation is crucial at a process, code, and data level. However, this transition is not the end, but the beginning of creating sustainable business outcomes through a democratized and extensible data architecture. These outcomes are realized through the cloud architecture’s scaling options and the ease of advanced analytics, establishing a data-driven culture, and monetizing data for increased/new revenue.
Sep 27, 2019
Jul 26, 2019
Jun 14, 2019
Learn how you can visually design and manage Spark-based workflows on Amazon EMR and Databricks with StreamAnalytix
ETL on cloud is more relevant than ever, as most businesses now operate either partially or fully in the cloud. However, there’s a lack of solutions that can simplify and automate the complex cloud ETL process. Moreover, traditional tools are unable to leverage cloud-native services on Amazon EMR or Databricks.
Apr 12, 2019
Jan 25, 2019