Integrated Data Lake
Centralized storage and governance of corporate data
Why you can't
analyze complete business history
Databases die with volume
Relational databases weren't meant for analyzing billions of rows.
YEAR 1
2 seconds
500 thousand orders
YEAR 2
15 seconds
2.5 million orders
YEAR 3
90 seconds
8 million orders - Crashes!
Traditional solution: "Let's archive old data. Delete orders > 3 years."
You sacrifice history for performance. Decisions are short-sighted.
Each system has its database
Data in different places, different formats, they don't talk.
Totvs
SQL Server
Salesforce
Cloud
Vtex
Cloud
Budget
Excel
Supplier
CSV
Real cost: Complex analyses take days/weeks. Most give up. Decisions are made without deep analysis.
History is expensive to maintain
Companies cut history to save storage.
SQL SERVER ON-PREMISE (10 TB)
BIMACHINE DATA LAKE (10 TB)
Unlimited Storage + Analytical Performance
+ Optimized Cost
Columnar Storage
Data in Apache Parquet format. To sum revenue, it reads only the "value" column, ignores the rest.
Automatic Consolidation
All data from all systems automatically consolidated when it arrives via connectors.
Unlimited History
Data Lake scales horizontally. Smart partitioning by date.
Optimized Cost
Cloud storage with up to 80% lower cost than traditional infrastructure.
Smart Compression
Data compressed automatically. Text 10:1, Numbers 5:1, Dates 8:1.
Smart Cache
Frequent results cached. Monthly revenue: 1h cache. Pipeline: 15min cache.
How it works under the hood
Ingestion
Connectors extract data from source systems
- •Structured (SQL, APIs)
- •Semi-structured (JSON, XML)
- •Unstructured (CSV, logs)
Storage
S3-compatible Object Storage, Parquet format
Engine
Apache Spark-like Query Engine
- •Predicate pushdown
- •Column pruning
- •Parallel processing
Cache
Frequent results in memory
- •Revenue: 1h cache
- •Pipeline: 15min cache
- •History: 1 day cache
Real world use cases
Deep History Analysis
CFO wants to compare 2024 vs 2019 performance (5 years ago)
WITHOUT DATA LAKE:
2019 data was archived/deleted. Analysis impossible.
WITH DATA LAKE:
2019 data is there. Query returns in 3 seconds.
INSIGHT:
2024 margin (18%) equal to 2019. But in 2020-2023 reached 22%. Why did it drop?
Cohort Analysis (Clients)
Manager wants to analyze retention by first purchase cohort
WITHOUT DATA LAKE:
Analysis limited to last 2-3 years. Old cohorts deleted.
WITH DATA LAKE:
Complete history since 2018. Full cohort analysis.
INSIGHT:
2018-2019 clients have 40% higher retention than 2023-2024. Why?
Multi-Year Seasonality
Director wants to plan inventory for December/2025
WITHOUT DATA LAKE:
Only 2022-2024 data (3 years). Small sample.
WITH DATA LAKE:
5 years of history. Identifies +47% pattern in December.
INSIGHT:
Data-driven decision: Increase inventory 50% for Dec/2025.
Behavior Change
CEO wants to know: Why did margin drop from 22% to 18%?
WITHOUT DATA LAKE:
Superficial analysis: Costs rose, prices didn't keep up.
WITH DATA LAKE:
Deep drill-down: Margin by product, region, client 2021 vs 2024.
INSIGHT:
Product A: margin dropped from 28% to 19%. Supplier X increased 45%.
Data organized, auditable, secure
Data Catalog
Automatic inventory. Smart search by any field or metric.
Data Lineage
Source to destination tracking. Know exactly where each number came from.
Granular Control
Automatic filters per user. Region, period, access profile.
Auditing
Complete log for GDPR, SOX, ISO 27001. Who accessed, when, which query.
From traditional database to
Data Lake in 1 week
ASSESSMENT
1 DAY
System survey, data volume, priority tables, requirements
HISTORICAL LOAD
2-4 DAYS
Full migration, transformation, integrity validation
VALIDATION
1 DAY
Row counting, aggregated totals, performance testing
GO-LIVE
1 DAY
Dashboard transition, production connectors, rollback available
Keep full historywithout sacrificing performance or cost
Strategic AI Diagnosis
Mapping of current analytical maturity
Identification of concrete opportunities for AI use in your area
Prioritization of initiatives based on impact and feasibility
Guidance on structure, tools and necessary integrations
Free Trial 14 Days
Full platform + active Ada.IA
Integration with your data sources
BIMStore Templates
Dedicated technical support in English
No card, no commitment
Speak with one of our specialists
Quick 30-minute schedule
Overview and identification of opportunities
Clear your doubts about the platform
