Data Engineering
Appsec offers a holistic approach to data engineering and analytics and we have extensive, hands-on experience in integarting data from integrate data from multiple sources and with the leading Data Engineering tools on the market.
Build A Solid Data Infrastructure To Support Organizational Needs
Likely you’re dealing with large volumes of data from many sources. Data engineers design, build and manage big data infrastructures — focusing on the data architecture needed for reporting and keeping processing systems performing efficiently.
Data Engineering With The Analyst In Mind
At Appsec, our data engineers think about data integration with the analyst’s perspective fueling requirements. This includes evaluating data needs to answer questions such as:
- What are the business questions that need to be answered?
- What data is needed to answer those questions? How does it need to be aggregated?
- How often are business decisions being made, and is the data available often enough to support that frequency?
- How does the business expect to scale, and what reporting requirements will need to exist in the future?
Our data engineering team consists of database-savvy business intelligence professionals who will collaborate with your stakeholders to understand business needs and then map a solution that is based on your unique organizational requirements.
Ensure Data Processing Systems Remain Efficient
Appsec provides data engineering services support to ensure that your data streams are connected and accessible for reporting and analysis. Our experience with tools such as Hadoop, Vertica, Netezza and others, ensures that your data will be analysis-ready, per defined reporting requirements. Our services include:
- Database architecture development and data model strategy mapping
- Script development and documentation to ingest and compile data, such as web analytics clickstream data
- Customized SQL query development to extract necessary data for visualization in BI tools such as Tableau, Power BI and Excel?
- Data QA and system parity analysis to ensure there are no gaps between the data you have and the data you need to answer your business questions
