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Database Design and DevelopmentStoring your data.Our data modeling services ensure that your data relates properly to your business rules and processes.Our database designs ensure that your data is consistent, durable and retains its integrity over time.We are experts at using SQL databases, including Microsoft SQL Server, PostgreSQL, and MySQL.We are also experts at using NoSQL databases such as MongoDB, DynamoDB, Redis, and Firestore.We can help you with a new project, or by breathing life into your old data.
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Data IntegrationCombining data from different sources.We can integrate data from multiple sources into one place, refining it into usable and actionable information.Data consolidation can help you save money by reducing storage costs.During the integration process we clean, filter and transform your data, ensuring the highest quality.Data integration supports better decision making by co-locating related data in one place.Data can be combined from virtually any source: databases, files, APIs, websites and more.
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Data WarehousingData for AnalysisData Warehousing consolidates the data from your operational systems so it can be used for analysis.Data Warehouses maintain a history of all your data so it can be used for trend analysis and forecasting.By combining data from all your operational systems, the data warehouse is the single point of truth for information about your organizationData warehousing allows you to structure your data so it makes sense to business users.
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Analytics and ReportingView, analyze and visualize your data.Analytics is the discovery and communication of meaningful patterns in data.Analytics can help you enrich your existing applications to help provide you better decision making.Colorful visualizations can bring to light hidden trends in your data and brighten up presentations.Analytics can help you discover trends in your data, quantify your business's performance, and analyze customer behavior.
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Big DataData is everywhere.The term Big Data describes data sets that are too large to be processed using traditional means.The four V's of Big Data: Volume, Variety, Velocity, Veracity.We analyze big data sets by splitting the data across multiple servers, processing it, then combining the data.Data can be processed in many ways, including machine learning, sentiment analysis, and natural language processing.