AWS has acquired DataRow, a unique player in the data exploration realm. DataRow facilitates data exploration and visualization for data analysts in Amazon Redshift. By acquiring DataRow, AWS will enable clients providing users with better AWS visualization and query resolution. NTT Docomo is one of the major AWS Redshift customers.
AWS clients will benefit from DataRow in these aspects –
- Build an easy to use interface to create tables,
- Easy to load data, author queries, perform visual analysis, and
- Collaborate with others to share SQL code, analysis, and results.
DataRow runs an SQL query on the Amazon Redshift database and reports results on the DataRow Notebooks. With this data exploration tool, R and Python programmers can perform any analysis on a notebook.
DataRow Notebooks are also enhanced with Apache Zeppelin infrastructure. This allows Python programmers to use different languages such as R and others.
DataRow provides Amazon Redshift System Tables to enable clients view their system tables in one place. This is a time-saving operation that directly helps programmers to understand how THE AWS Redshift system is working without performing any additional query in SQL. DataRow is a fully-compliant secured data management system that uses encryption in transit TLS 1.2 and at rest AES-256. Each Product Sngineering team at DataRow focuses on the security of features they have crafted for AWS Redshift.
What is AWS Redshift?
AWS Redshift is a Cloud Data Warehouse developed by Amazon to power advanced analytics at an enterprise scale. Redshift by AWS integrates with data lake using open formats like Apache Parquet to synergize analytics outcomes available via Amazon EMR, Amazon Athena, and Amazon SageMaker.
DataRow’s acquisition will help AWS further improve its Machine Learning capabilities available within its Cloud DataWarehouse. Currently, AWS serves customers such as Intuit, Amazon.com, Pfizer, Equinox, Sophos, Western Digital, Informatica, McDonald’s, Fox Corp., Periscope Data, Tableau, Yelp, and so on.
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