Why Big Data Analytics ?

Benefit from and make analytical processes faster and more efficient with real-time Big data analytics.

Dataami and Big Data Analytics.

The output include developing, testing, evaluating and maintaining Big data analytics tools Preparing data for analysis including cleaning, data quality checks, and merging data to the single point of analysis.

Data Architecture

Reviewing your current data architecture to analyze data sources and define data lakes or DWHs

Data Manipulation

Cleaning, processing, and transforming data into usable formats for model development

ETL-Automation

Building data pipelines that gather, process, store, and help access data

Data Warehouse

Helping choose among big data platforms for managing your data infrastructures, such as AWS, Microsoft Azure, Google BigQuery, Teradata, IBM, Oracle, and more

Big Data Analytics - Data ready for use

Our Big Data approach:

Architecture Analysis
Architecture Improvement
Feature engineering via Data Pipelines
Data Analysis and Visualization

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Create something meaningfulawesomeamazing

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Data Architecture

Data Manipulation

ETL-Automation

Data Warehouse

Create something meaningfulawesomeamazing

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