We can help you build automated pipelines to ingest your data from multiple sources into a centralized data warehouse and extract actionable insights.
Data is the new currency in the information age. A majority of companies want to make more data-driven decisions. Independently of where you are in your journey, we can help you locate your data, transform it, ingest it in a data warehouse, and analyze it to extract value insights. We have expertise in data engineering, data science, and machine learning.
Prepare the Data
We start by understanding the business use cases, and the kind of decisions we want to achieve. We then locate all sources of relevant data, and transform and clean the data to be able to aggregate it in a centralized location.
Build Ingestion Pipelines
We build automated ingestion pipelines to move the data into a data lake or warehouse. The method used will depend on the type of data ingested (IoT, events, logs, financial, etc.) and how fast we want to be able to act on it.
Analyze the Data
We build an analytics / machine learning pipeline to analyze the data. This can be Spark jobs that run daily on the data warehouse, or it can be streaming analytics that analyze the data in real-time as it comes in.
Take Automated Actions
We build an event-driven platform to take actions based on the results of the analysis. This can be a monitoring or alerting system, or it can be an IoT event bus that triggers actions in other devices. We also build visualization in this stage to better understand the data.
We can guide you in building a complete solution, from migrating, ingesting, and analyzing data.
We can tailor our approach to different workflows, from IoT, to real-time monitoring, to data lakes, or data analytics.
We are both engineers and data scientists. We have the experience in building complex ML models to analyze your data.
We work collaboratively with your team to address concerns, and adapt our approach as the project progresses.
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