መረጃና ትንታኔ
የመረጃና የትንታኔ ምህንድስና
ያዳንናቸው የ AI ፕሮግራሞች ሁሉ የተሳኩት በሞዴሉ ሳይሆን በመረጃው ንብርብር ላይ ነው። ይህ የብቃት ዘርፍ ያ ለእርስዎ እንዳይደርስ ለማድረግ ነው።
- ዘርፍ
- አገልግሎቶች
- የሚያገኙት
- 4
የእኛ አካሄድ
የመረጃና የትንታኔ ምህንድስና
We build the load-bearing part of a data-driven organisation: one trustworthy definition of your customers, patients, transactions or assets.
Ingestion, entity resolution across records never designed to agree, and a warehouse analysts and models can both query.
የሚያገኙት
ማንኛውም ተግባር በእርስዎ የሚያዙና ለማንኛውም ኢንጂነር ወይም ኦዲተር ሊያስረክቡ የሚችሉ ሰነዶችን ያመጣል።
- Data architecture and modelling
- Batch and streaming pipelines
- Entity resolution and master data
- Quality monitoring, lineage and access control
ማስተማመን ያለብዎት ውጤቶች
ማስተማመን ያለብዎት ውጤቶች
- One agreed number for contested metrics
- Reporting without spreadsheet exports
- Data good enough to train models on
መሣሪያዎችና መድረኮች
መሣሪያዎችና መድረኮች
- dbt
- Airflow and Dagster
- Spark and Kafka
- Snowflake, BigQuery and Redshift
የምንሠራበት መንገድ
እንዴት እናደርሳለን
ምርጥ ልማዶችንና የልማት ዘዴዎችን መሠረት አድርገን ዘመናዊ የቴክኖሎጂ መፍትሔዎችን በተዋረደና በተቀመጠ መንገድ እንገነባለን።
- 01
Planning
We collect the relevant information from you and your stakeholders, including the constraints you have not written down.
- 02
Defining
We document the software needs, agree acceptance criteria, and write down what is out of scope.
- 03
Designing
System and interface documents are prepared against the specification: architecture, data model and stack.
- 04
Building
We implement in short cycles, with a working increment and a visible demonstration at the end of each.
- 05
Testing
We evaluate quality to find and fix defects: automated where possible, exploratory where judgement matters more.
- 06
Deployment
Release runs through an automated pipeline, checked for deployment issues, with a rehearsed rollback.
- 07
Maintenance
We keep the system current, secure and monitored, so you hear about problems from us first.
ጥያቄዎች
በተደጋጋሚ የሚጠየቁ
Our data is spread across systems. A blocker?
No. Reconciling those systems is the work.
Do we need a warehouse first?
Usually a modest one, not a grand programme.
How does this relate to AI?
Retrieval, features and evaluation all depend on it.
ተዛማጅ አገልግሎቶች
ተዛማጅ አገልግሎቶች
እንነጋገር
የቀጣዩን ጥቅምዎን እንገንባ።
ምን ማሳካት እንደሚፈልጉ ይንገሩን። ከኢንጂነር ጋር ይነጋገራሉ፣ ከጥሪ ማዕከል አይደለም፣ አብዛኛውን ጊዜ በጥቂት ደቂቃዎች ውስጥ።
ከሰኞ እስከ ዓርብ፣ 08:00 እስከ 18:00 የምሥራቅ አፍሪካ ሰዓት (GMT+3)። ከሰዓቱ ውጪ አጣዳፊ ድጋፍ በስምምነት ይቻላል።