Data Lakehouse

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Data lakehouse is modern data architecture that combines the best of data management worlds—flexibility of data lakes and reliability of data warehouses.

Kontakt.io’s data lakehouse technology provides businesses with a unified platform for data storage, processing, and analytics, making it easier to derive insights from operating data. You can scale your data infrastructure on-demand, transcend data silos or vendor lock-ins, reduce data management costs, and eventually improve time-to-insight with a single source of truth.

Get Immediate Outcomes

Elasticity
& Scalability

Eliminate the need for capacity planning with on-demand scalability, cost-efficient pay-per-use pricing, and zero infrastructure management.
Exploratory
Data Analysis

Analyze data to identify patterns, trends, and relationships between variables. Build statistical models to predict outcomes, estimate probabilities, and identify influencing factors.
AI Machine
Learning

Harness machine learning capabilities to build predictive models and uncover insights, and extract patterns from large and complex datasets.

Ingest, Cleanse, and Analyze

Data Ingestion

Start with ingestion of raw data from various sources, such as databases, APIs, IoT devices, and logs. The data is collected and transferred to the cloud.
Data Cleansing

Next, enrich raw data and make it usable for downstream applications. This includes cleaning, normalization, aggregation, and filtering of data.
Data Anonymization

Any sensitive PII data that doesn’t contribute to analytics will be redacted, filtered, tokenized, and cleansed.