Data Integration

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Data Integration

Connectivity from On-Premise or Cloud BI, ETL, & Reporting

ARMS IT fully understands the importance of being able to quickly and efficiently move data through a company’s infrastructure, and how transforming disparate data into useable information to enable decision-makers should be a company’s top IT priority.

From Extract, Transform and Load (ETL) capabilities to comprehensive Data Management services, Our consultants have helped clients with critical data integration efforts for well over years.

Our Data Integration consultants bridge the gap between the business and IT side of companies. By partnering with clients to fully understand both their business philosophy and IT strategy, Our consultants maintain the vision that Data Integration should be built to help the organization make better decisions by providing the right data at the right time.

We have partnerships with all the major data integration vendors, and our consultants have experience in multiple data integration software tools. The Data Integration practice encompasses a broad range of service offerings, including ETL, operational integration, master data management (MDM), data migration, metadata management, performance optimization and data cleansing. With a suite of services this comprehensive, our consultants can consistently create reliable, efficient, and easy-to-maintain processes to support any client’s organizational data integration needs.

How to integrate your data

Method 1: Traditional data integration methods

It is possible to create scripts to scrub the data, and then load it into a data warehouse, or use traditional extraction, transformation, and loading tools to integrate data from different sources. However, these methods are very time-intensive, expensive, and error-prone. Traditional methods require data scientists to spend an enormous amount of time cleansing data because the data at the source and target may not use the same schemas, formats, or types. And traditional data integration tools are usually batched, rather than real-time. These methods are also expensive because they require a robust infrastructure and skilled manpower.

Method 2: Modern data integration tools

Modern data integration tools use data pipelines and support a variety of integrations to replace outdated traditional methods of manually managing data sets, scrubbing them, and loading them into the individual data lake or data warehouse environments. Now, you can store, stream, and deliver the data you need, when you need it, from any cloud data warehouse — Amazon Redshift, Snowflake, Google BigQuery, Azure, or a number of other options. You can define data types and destinations, enrich the data stream, and check for errors while the data is streaming. Then, you can get the real-time insights you need to make good business decisions.

Perhaps of equal importance is the security that a modern data integration solution can offer. Any time data is moved from one place to another, the security risk increases greatly. However, ARMS IT provides a well-designed modern enterprise data platforms makes security a first priority. For example, 100% SOC 2 Type II, ISO27001, HIPAA, and GDPR compliant, and our supported cloud service providers meet the strictest standards in the industry.

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