I technically handle the database, like cycle management projects. When transaction data comes in, we see it based on the retention periods. We have to move the data to some secure storage rather than keeping it on the database. Those are the kinds of projects I handle. I handle data retention, data governance, and data archiving. Data archiving is predominantly the dominating factor because based on the retention rules, we archive the data. I handle entire data life security projects.
Our clients require us to use SAP Data Hub. We also use the solution for operating skills and for customers who want to work with the latest technology.
Innovation Lead at a tech vendor with 10,001+ employees
Real User
2021-01-10T18:31:02Z
Jan 10, 2021
It is build based on the IoT implementations that we have. We are capturing a lot of data for a warehouse and manufacturing company. We capture data about how their machines are performing. For example, for a dishwasher that this company is selling to different clients, we are capturing data about its usage or how different clients are using this dishwasher. We are putting this data inside the IoT big data lakes. From the data lakes, we are integrating with their SAP S/4HANA system via SAP Data Hub. We are capturing SAP HANA data and taking it out as graphs via SAP Analytics Cloud. They have the data in SAP HANA, and we use SAP Data Hub for smooth integration with the SAP HANA on-premise products. We are using the SAS version of SAP Data Hub.
Data governance is the set of processes, policies, and technologies that ensure data quality, accuracy, and security throughout its lifecycle. Data governance tools help organizations implement and manage their data governance programs. These tools can automate many tasks involved in data governance, such as data discovery, classification, lineage, and quality assessment.
I technically handle the database, like cycle management projects. When transaction data comes in, we see it based on the retention periods. We have to move the data to some secure storage rather than keeping it on the database. Those are the kinds of projects I handle. I handle data retention, data governance, and data archiving. Data archiving is predominantly the dominating factor because based on the retention rules, we archive the data. I handle entire data life security projects.
Our clients require us to use SAP Data Hub. We also use the solution for operating skills and for customers who want to work with the latest technology.
It is build based on the IoT implementations that we have. We are capturing a lot of data for a warehouse and manufacturing company. We capture data about how their machines are performing. For example, for a dishwasher that this company is selling to different clients, we are capturing data about its usage or how different clients are using this dishwasher. We are putting this data inside the IoT big data lakes. From the data lakes, we are integrating with their SAP S/4HANA system via SAP Data Hub. We are capturing SAP HANA data and taking it out as graphs via SAP Analytics Cloud. They have the data in SAP HANA, and we use SAP Data Hub for smooth integration with the SAP HANA on-premise products. We are using the SAS version of SAP Data Hub.