Select which one of Data Analytics that can help your goal
Why Data Analytics?
Our data analytics team cover a wide-range end to end solution
for analytical landscape including Data Integration and Data
Governance solution. Our expertise in Data Analytics Solution
will help customer develop and succes the analytics landscape
journey, based on our experience implementing the solution for
Our Analytics Solution
Select which one of Analytics Solution that can help your goal
A complete data integration solution delivers trusted data from various sources
The capabilities to make it easy to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages
Data Integration comprises the practices, architectural techniques and tools for achieving the consistent access and delivery of data structure types in the enterprise to meet the data consumption requirements of all applications and business processes. Data can be streamed in real time or ingested in batches. When data is ingested in real time, each data item is imported as it is emitted by the source. When data is ingested in batches, data items are imported in discrete chunks at periodic intervals of time. An effective data ingestion process begins by prioritizing data sources, validating individual files and routing data items to the correct destination. Business intelligence, analytics, and competitive edges are all at stake when it comes to data integration. That’s why its critical for your company to have full access to every data set from every source.
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A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. When a business question arises, the data lake can be queried for relevant data, and that smaller set of data can then be analyzed to help answer the question.
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Greenplum’s massive parallel processing architecture provides automatic parallelization of all data and queries in a scale-out, shared nothing architecture
Data Visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand your data.
Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.
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Data governance is a set of principles, standards and practices that ensures your data is reliable and consistent. It also helps ensure that your data can be trusted to drive business initiatives, inform decisions and power digital transformations. A successful data governance program enables you to do these things in a way that is repeatable.
Data governance helps ensure that your data is consistent, reliable, accurate and trusted to enable data-driven decision-making. Traditionally data governance has been focused on risk and compliance. But the focus of data governance has shifted over the last few years.
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Discover Informatica’s enterprise data governance products that fuel your important business initiatives with high-quality, trusted data.
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