Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can seamlessly automate migration to Cloudera’s cloud-based enterprise platform CDP from on-prem deployments and dynamically auto-scale cloud services with Cloudera Data Engineering (CDE)’s integration with Modak Nabu™.
In 2020, in response to the pandemic, we saw an urgent shift to SaaS and various emerging technologies. It was covered at length in “Introducing Trends 2021 – 'The Great Digital Switch'.” Largely driven by necessity, organizations needed to make drastic moves “to keep the lights on” and cater to operations in a more virtual and remote style. This big leap forward drastically changed the IT landscape and infrastructure in a lot of organizations.
Apache Impala is a massively parallel in-memory SQL engine supported by Cloudera designed for Analytics and ad hoc queries against data stored in Apache Hive, Apache HBase and Apache Kudu tables. Supporting powerful queries and high levels of concurrency Impala can use significant amounts of cluster resources. In multi-tenant environments this can inadvertently impact adjacent services such as YARN, HBase, and even HDFS.
As organizations continue to embrace cloud-based computing as the cornerstone of their digital transformation, the integration platform as a service (iPaaS) has become a critical component of their integration environments. An iPaaS solution simplifies the integration of data, applications, and systems, whether in the cloud or on-premises, through unified support for API, application, data, and B2B integration styles.
In this blog, I will demonstrate the value of Cloudera DataFlow (CDF), the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP), as a Data integration and Democratization fabric. Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas.
Data – the amount we create, how we create it, how it is accessed (think both people and Artificial Intelligence/machines), and how we use it to inform, propel and influence everyone and everything is one of the biggest challenges and opportunities we face in our lifetime. And it’s driving enormous change.
