DATA WAREHOUSE CONSULTING SERVICES

Agileteksys provides a full range of data warehousing services, including data warehouse research, discovery, implementation, and support to help you get the maximum value from your data.

DATA WAREHOUSE RESEARCH AND DESIGN

Our team will help you create an effective data warehouse strategy, choose the best data warehouse model, and build a prototype.

DATA WAREHOUSE IMPLEMENTATION

We offer an entire cycle of DWH development: from integration of data sources to full automation of data processes.

DATA WAREHOUSE MIGRATION / OPTIMIZATION

Our experts will migrate your DWH to the cloud, scale it up, and help you optimize performance and costs.

DATA WAREHOUSE SUPPORT

We will implement small adjustments, make changes that are covered by SLA, and provide an overall support of your DWH.

HOW CAN YOU BENEFIT FROM DATA WAREHOUSE CONSULTING?

Our consultants will assist you in every step of your data transformation journey

CONSOLIDATE DATA ACCESS

A well-designed and integrated DWH ensures governed and secure access to data across your organization.

REDUCE HUMAN INVOLVEMENT

A carefully chosen DWH platform allows you to save up to 60% of efforts in deployment, administration, and support.

OPTIMIZE COSTS

Data warehouse consulting includes an ongoing optimization of your infrastructure and cloud spending.

ACCELERATE ROI

HOW IT WORKS

Agileteksys offers data warehouse consulting services. Typically, data warehouse consulting has four phases:

01. Strategy

During this phase we will explore an existing ecosystem including:

  • Clarification of the stakeholders’ vision and objectives
  • Reviewing the environment and existing systems
  • Measuring current capability and scalability
  • Creating a risk management framework

02. Discovery phase

We offer a Discovery Phase as a service to help you validate your idea, choose a tech stack, estimate ROI, and build a feasible prototype.

  • Defining client’s business needs
  • Analysis of existing reports and ML models
  • Review and documentation of existing data sources, and existing data connectors
  • Estimation of the budget for the project and team composition.
  • Data quality analysis
  • Detailed analysis of metrics
  • Logical design of data warehouse
  • Logical design of ETL architecture
  • Proposing several solutions with different tech stacks
  • Building a prototype.

03. Development

Based on your needs and chosen tech stack, our experts will build a robust data warehouse. Some of the steps will include:

  • Physical design of databases and schemas
  • Integration of data sources
  • Development of ETL routines
  • Data profiling
  • Loading historical data into data warehouse
  • Implementing data quality checks
  • Data automation tuning
  • Achieving DWH stability

04. Ongoing support

We will help you build a dedicated team for ongoing support of the data warehouse. Overall, the support will cover:

  • Fixing issues within the SLA
  • Lowering storage and processing costs
  • Small enhancement
  • Supervision of systems
  • Ongoing cost optimization
  • Product support and fault elimination

WHY CHOOSE AGILETEKSYS TO HELP YOU WITH DATA WAREHOUSE CONSULTING?

Agileteksys specialists have a proven track record working with cloud-based tools such as Snowflake, Redshift, BigQuery, EMR, Dataproc, Cloud Composer, Synapse Analytics, Azure Data Factory, Databricks, etc.

Agileteksys experts have solid expertise in Cloud native and agnostic development, Big Data engineering, Data Analytics, Data Science, ML&AI, BI, DevOps, and Security.