Apr 26, 2021
Intermediate Data EngineerYou will be part of a the Digital & Data team which applies customer-focused design thinking, data management, cloud engineering, agile and lean development methodologies, and continuous delivery practices in its deliveries.
KEY AREAS OF RESPONSIBILITIES:
Assist in designing and implementing scalable and robust processes for ingesting and transforming datasets.
Design, implement and support the creation and maintenance of data pipelines from a multitude of sources.
Ingest large, complex data sets that meet functional and non-functional requirements.
Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.
Apr 26, 2021
JUNIOR DATA ENGINEERWe are seeking a Junior Data Engineer who will assist in designing and implementing scalable and robust processes to support the data engineering capability. This role will be responsible for implementing and supporting large-scale data ecosystems
KEY AREAS OF RESPONSIBILITIES:
Assist in designing and implementing scalable and robust processes for ingesting and transforming datasets.
Assist in the design and implementation of data pipelines from a multitude of sources and also support the maintenance thereof.
Ingest large, complex data sets that meet functional and non-functional requirements.
Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.
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FREMONT, Calif., April 1, 2021 /PRNewswire/
Privacera, the cloud data governance and security leader founded by the creators of Apache Ranger™, today announced a new integration with Amazon Elastic MapReduce (EMR). This integration, available in the latest release of Privacera s data access governance platform, broadens Apache Ranger s open-source capabilities in EMR Record Server to provide joint customers with Privacera s centralized, fine-grained access controls, and enterprise-grade security.
As many organizations migrate to multi- and hybrid-cloud infrastructures, effective access control, governance, and security of an organization s sensitive data has never been more important. In these complex environments, data teams can often become overburdened managing unique access controls and policies across various cloud services and applications. According to
Data lake storage: Cloud vs on-premise data lakes
The data lake is a fundamental concept of data management. But what type of storage do you need to build a data lake on and what are the pros and cons of on-premise vs the cloud?
Share this item with your network: By Published: 18 Feb 2021
Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts.
In this article, we’ll start at the top of that hierarchy and look at data lakes. As organisations try to get a grip of their data and to wring as much value from it as they can, the data lake is a core concept.