Informatica Data Engineering

Main articles:

• Big Data
• Data mining Intelligent data analysis
• Data management

2020: As a part of the complex platform for data collection from IoT sensors

The DIS Group company which presents Informatica corporation at the Russian market announced on November 10, 2020 the conclusion of technical partnership with Tibbo Systems, the IoT-Platformy AggreGate developer. Within partnership in the Russian market the single platform for data collection from sensors of Internet of Things and strategic management will be offered by these data (Data Governance).

The complex platform will include the solutions AggreGate Network Manager, AggreGate SCADA/HMI and Informatica Data Engineering Streaming. The platform will allow to collect data from IoT devices, the SCADA systems, an APCS, other production systems, to integrate these data, to move them to storage, analytical tools, Hadoop and other. At the same time there will be an opportunity to process data with the help of other modules Informatica, for example, to increase quality of data with the help of Informatica Data Quality.

During development of the complex platform works on technical integration of the AggreGate platform and solutions of Informatica were carried out, the compatibility of solutions of two vendors is checked and confirmed.

First of all the solution will be useful for manufacturing enterprises, in particular, to the companies of an oil and gas sector. In this sector Internet of Things and the SCADA systems for prevention of failures in operation of the equipment and for prediction of breakdowns actively is implemented. The created platform will help to accelerate considerably data processing, so, will allow to detect quicker malfunctions and quicker to react to them.

Partnership with DIS Group will allow large production companies to receive the complete solution for end-to-end digitalization on a joint of technologies of Internet of Things, Big Data and data management. The solution will simplify collecting and conjoint analysis of the structured and unstructured corporate data, including production and financial data. It is important to note that within preparation of the complete solution specialists of DIS Group carried out integration of the solutions Informatica and AggreGate with our minimum participation that confirms our approach to work with partners – autonomy and independence of vendor.

2019

Updates in the field of advanced analytics and data science

On December 27, 2019 the DIS Group company reported that as a part of the platform of data management Informatica Intelligent Data Platform with the artificial intelligence (AI) of CLAIRE there were additional functions among which – the directory of the Catalog of Catalogs directories and supermarket of data Data Marketplace. Changes in the Informatica platform concerned also analytics. The updated line of Informatica Data Engineering (before Big Data) will help to implement more effectively initiatives in the field of advanced analytics and data science. Read more here.

Representation of Informatica Data Engineering

On December 16, 2019 the DIS Group company announced a line of the solutions Informatica Data Engineering. The line includes a full range of tools for specialists in the field of Big Data. It provides easy access, purity and reliability of data for work with artificial intelligence and machine learning, for any analytical initiatives.

Informatica Data Engineering supports seamless integration with Databricks. It will be useful for those who are going to use such solutions as Spark, Delta Lake and others.

Thanks to Informatica Data Engineering users will be able easily to investigate the necessary data sets and to move large volumes of information. The possibility of cluster work will allow clients to reduce costs for creation and maintenance of pipelines of data. Besides, the Informatica Data Engineering tools give the chance of end-to-end data management in all environments.

Informatica Data Engineering Integration by means of data integration ensures effective functioning with pipelines of data for analytics and machine learning. Data Engineering Streaming turns stream data and data from sensors of Internet of Things into information with clear value, allows to conduct its research.

Data Engineering Quality provides quality of data, their reliability and relevance.

Data Engineering Masking depersonalizes data to minimize risk of hit in open access of information from applications, BI systems, the AI tools and analytics.

Enterprise Data Catalog classifies and will organize assets of data, builds linedzha (interrelations) between metadata and helps to use and pereispolzovat data most effectively.

Enterprise Data Preparation helps to find quickly data, provides their quality, prepares them for the analysis and use by artificial intelligence. At the same time in the solution there is a possibility of joint work of employees, thanks to it analysts of data can quicker make decisions. The Mass Ingestion function gives the chance to users to load large volumes of information from different sources, including databases and sources of stream data.

The line of Informatica Data Engineering integrated with Databricks provides integrated management of data. Thanks to it work of engineers on data becomes simpler, more convenient and more effective, told Pavel Likhnitsky, the CEO of DIS Group