Data Infrastructure and Database Technologies

Database Integration using SQL Server Integration Services (SSIS) Training Course

Data looks “ready” until the first refresh fails, the numbers don’t reconcile, or leadership asks why two reports disagree. Many organizations only realize their integration is fragile when month-end reporting breaks, donor reporting becomes inconsistent, dashboards drift from reality, or audits expose undocumented transformations. Are your pipelines stable enough to run unattended? Can you prove where the data came from and how it was transformed when results are questioned?

This course is essential for professionals who must design stable integrations, handle messy inputs, scale data movement, reduce manual work, and communicate pipeline logic clearly across technical and non-technical teams. Are you extracting from the right systems and at the right time windows? Are you confident your SSIS packages would stand up in a production incident review, audit, or stakeholder challenge?

Duration
10 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Foundation To Intermediate
Level
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Mon - Fri (10 Days)
USD 1,700
Starts
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Mon - Fri (10 Days)
USD 1,700
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Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
10 Days
USD 3,200
Kigali Rwanda
Mon - Fri
10 Days
USD 3,800
Dubai United Arab Emirates (UAE)
Mon - Fri
10 Days
USD 8,200
Abuja Nigeria
Mon - Fri
10 Days
USD 6,100
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In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (10 Days) USD 3,200 English See dates & reserve →
Kigali, Rwanda Mon - Fri (10 Days) USD 3,800 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (10 Days) USD 8,200 English See dates & reserve →
Abuja, Nigeria Mon - Fri (10 Days) USD 6,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (10 Days) USD 4,900 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (10 Days) USD 4,800 English See dates & reserve →
Mombasa, Kenya Mon - Fri (10 Days) USD 3,400 English See dates & reserve →
Cape Town, South Africa Mon - Fri (10 Days) USD 7,800 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (10 Days) USD 7,600 English See dates & reserve →
Kampala, Uganda Mon - Fri (10 Days) USD 3,800 English See dates & reserve →
Pretoria, South Africa Mon - Fri (10 Days) USD 7,000 English See dates & reserve →
Lagos, Nigeria Mon - Fri (10 Days) USD 5,100 English See dates & reserve →
Arusha, Tanzania Mon - Fri (10 Days) USD 4,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (10 Days) USD 3,800 English See dates & reserve →
Accra, Ghana Mon - Fri (10 Days) USD 7,900 English See dates & reserve →
Nakuru, Kenya Mon - Fri (10 Days) USD 3,200 English See dates & reserve →
Kisumu, Kenya Mon - Fri (10 Days) USD 3,200 English See dates & reserve →
Naivasha, Kenya Mon - Fri (10 Days) USD 3,400 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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DSI-59 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
DSI-59 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
DSI-59 Weekend (8 Weeks) USD 1,700 Reserve my seat → Reserve team seats →
DSI-59 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
DSI-59 Weekend (8 Weeks) USD 1,700 Reserve my seat → Reserve team seats →
DSI-59 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
DSI-59 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →

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About the Course

Today's organizations don’t just want data moved; they want trusted, repeatable data integration that runs on schedule, fails safely, and produces explainable outputs. Whether you are integrating financial data, HR systems, donor program data, utility operations data, customer records, or regulatory reports, you are expected to show what data moved and when, what transformations were applied, what failed and how it was handled, what quality checks were performed, and what the final output means for decision-making.

This course turns SSIS from “packages that sometimes work” into a structured integration system. You will learn to design SSIS solutions that fit purpose, build reliable control flows and data flows, apply data quality rules, manage incremental loads, implement logging and error handling, deploy and schedule packages, and produce credible documentation. It's hands-on and outcome-driven, tailored for practitioners who must deliver under real constraints like changing source systems, weak data governance, limited time, access restrictions, and pressure to “just make it work.”


Target Audience

This course is tailored for professionals who are integral to data integration and management across various sectors.

This course is designed for:

  • Data analysts and BI professionals who need automated pipelines
  • Database administrators supporting ETL and data movement
  • Software and integration engineers working with SQL Server environments
  • Public sector M&E/data teams integrating program and donor datasets
  • NGO reporting teams consolidating multi-source operational data
  • Utility data teams integrating billing, metering, and operations systems
  • Finance and audit support teams responsible for reconciliations
  • IT operations teams scheduling, monitoring, and supporting SSIS jobs
  • Data quality and governance teams improving reliability and traceability
  • Anyone responsible for building, maintaining, or troubleshooting SSIS workflows

Course Objectives

This course equips you to design, build, deploy, and manage SSIS-based database integration workflows using practical patterns, defensible controls, and production-ready reliability practices.

By the end of this course, you'll be able to:

  • Understand core SSIS concepts and how they map to real integration workflows
  • Design fit-for-purpose ETL pipelines (sources, staging, transformations, outputs)
  • Build robust data flows with transformations, lookups, and business rules
  • Apply data quality checks, validation rules, and reconciliation logic
  • Implement logging, error handling, and restartability for production reliability
  • Manage incremental loads, slowly changing data, and performance constraints
  • Deploy SSIS packages safely and schedule execution with monitoring
  • Document lineage, assumptions, and controls to support audits and stakeholder trust

Requirements & Prerequisites

Participants should have a basic understanding of SQL and some experience with data manipulation or integration. Prior exposure to SQL Server or another database management system is highly beneficial.


Local Application and Business Return in your market

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants in the United States typically use this course to build and support reliable ETL jobs for finance, operations, HR, sales, and reporting systems. They learn how to move data from operational databases into staging and warehouse tables, handle messy source files, and add error handling so batch jobs can run unattended. In day-to-day work, that means less manual cleanup, fewer broken refreshes, and better control over how data is transformed before it reaches dashboards or reports. It also helps teams explain package logic to auditors, managers, and non-technical stakeholders when numbers need to be reconciled.

Expected ROI

Within 6 to 12 months, organizations usually see fewer failed loads, less time spent on manual data fixes, and faster turnaround on recurring reports. The biggest value often comes from reducing rework: data teams spend less time troubleshooting mismatches and more time improving upstream quality and automation. Business users benefit from more consistent numbers across reports, which improves confidence in decision-making. For mature teams, the course also supports better documentation and operational resilience when staff change or systems are upgraded.

Training Methodology

This is a practical, outcome-driven course designed to turn SSIS skills into production-ready data integration you can operate confidently.

Methodology includes:

  • Guided exercises building an end-to-end SSIS pipeline from scratch
  • Hands-on labs with realistic datasets (duplicates, nulls, mismatched keys, dirty values)
  • Data quality drills focused on validation, reconciliation, and exception handling
  • Scenario-based troubleshooting (failed jobs, slow loads, broken connections, schema changes)
  • Group work comparing integration designs under real constraints and trade-offs
  • Case studies across public sector, NGOs, utilities, and private enterprise reporting needs
  • Reflection prompts that challenge fragile habits and improve reliability discipline

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 1,700
29th Jun-10th Jul 2026

Nairobi

Kenya
USD 2,900
6th Jul-17th Jul 2026

Kigali

Rwanda
USD 3,800
6th Jul-17th Jul 2026

Dubai

United Arab Emirates (UAE)
USD 7,800
20th Jul-31st Jul 2026

Zanzibar

Tanzania
USD 4,300
29th Jun-10th Jul 2026

Abuja

Nigeria
USD 6,000
6th Jul-17th Jul 2026

Addis Ababa

Ethiopia
USD 4,900
13th Jul-24th Jul 2026

Mombasa

Kenya
USD 3,200
27th Jul-7th Aug 2026

Cape Town

South Africa
USD 7,500
29th Jun-10th Jul 2026

Johannesburg

South Africa
USD 6,000
6th Jul-17th Jul 2026

Pretoria

South Africa
USD 5,900
27th Jul-7th Aug 2026

Kampala

Uganda
USD 3,700
27th Jul-7th Aug 2026

Lagos

Nigeria
USD 5,100
29th Jun-10th Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Database Integration using SQL Server Integration Services (SSIS) Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

In-Demand Technical Mastery

  • Build production-ready SSIS packages that automate complex enterprise data workflows.
  • Master ETL design patterns used by top data engineering teams worldwide.
  • Learn advanced data transformation, error handling, and performance tuning techniques.

Career Acceleration

  • Command higher salaries with verified SQL Server integration specialist credentials.
  • Stand out for database developer and data engineer roles immediately.
  • Bridge the gap between raw data and actionable business intelligence career paths.

Practical, Expert-Led Training

  • Hands-on labs mirror real-world enterprise data integration challenges you'll face.
  • Industry practitioners guide you through proven deployment and debugging strategies.
  • Leave with a portfolio-ready project demonstrating end-to-end SSIS proficiency.

Tools and platforms relevant to this field

Examples local teams may encounter, and that may be featured in training where they support the confirmed course scope.

4

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • SQL Server Integration Services Microsoft
    Used to build ETL workflows that extract, transform, and load data across SQL Server and other sources.
  • SQL Server Management Studio Microsoft
    Used to administer SQL Server environments that often host SSIS packages and related staging databases.
  • Power BI Microsoft
    Used as a downstream reporting layer that depends on clean, timely data loads from integration processes.
  • Azure Data Factory Microsoft
    Used in hybrid integration scenarios where teams orchestrate data movement between on-premises and cloud systems.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for your market

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Why this course matters in your market

A market-specific advisory on the operating pressures this course helps teams address.

Database integration with SSIS matters in the United States because organizations run large, distributed data estates where reporting accuracy, auditability, and unattended batch reliability directly affect finance, operations, and compliance decisions. When pipelines fail or transformations are undocumented, the cost is not just technical downtime; it can disrupt month-end close, reconcilement, regulatory reporting, and executive dashboards. This training is most relevant for data engineering, BI, analytics, finance systems, and operations teams that need to move data reliably between legacy databases, Microsoft stacks, and cloud-adjacent reporting layers. Leaders use it to decide whether their integration process is robust enough to support production reporting and traceable enough to withstand scrutiny.
Production reliability

US organizations often depend on scheduled, repeatable data movement for financial and operational reporting, so SSIS skills reduce the risk of failed loads and broken refreshes that surface late in the reporting cycle.

Audit-ready transformation logic

In regulated or finance-heavy environments, teams need clear lineage from source to target, and SSIS packages help document how data was cleaned, joined, filtered, and validated before it reached reports.

Microsoft-centric data stacks

Many US IT estates still include SQL Server, Excel-based workflows, Power BI, and on-prem or hybrid databases, making SSIS a practical bridge for integrating older systems with modern analytics.

The training is timely because US organizations are under pressure to improve data quality, automate manual reconciliation, and make reporting more defensible as data environments become more hybrid and distributed. Teams that cannot prove pipeline logic or recover quickly from load failures face higher operational and governance risk.

Regulatory context in your market

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

4

Regulators

  • NIST Relevant for data governance, cybersecurity, and control frameworks that influence how integration platforms are secured and monitored.
  • OCC Relevant for banks and financial institutions where data movement, control evidence, and operational resilience are reviewed in regulated environments.
  • SEC Relevant for public companies and capital markets organizations that rely on accurate, traceable reporting feeds and disclosure-related data processes.
  • FTC Relevant where customer data handling, privacy controls, and misuse of personal data affect integration design and downstream reporting.

Frameworks the course aligns with

  • 01 Sarbanes-Oxley Act · 2002
  • 02 Health Insurance Portability and Accountability Act · 1996
  • 03 Gramm-Leach-Bliley Act · 1999
  • 04 California Consumer Privacy Act · 2018

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Yes, in many US environments SSIS still matters because it is already embedded in SQL Server-based estates and can handle a wide range of integration tasks efficiently. Many organizations use it alongside cloud services rather than replacing it all at once.

It is useful for both, but it is especially valuable for data engineers, BI developers, and analytics professionals who need dependable data movement. Analysts benefit when they understand package logic, source dependencies, and validation steps that affect report accuracy.

It helps organizations make data pipelines more reliable and easier to support. That typically means fewer failed refreshes, clearer data lineage, and less time spent reconciling inconsistent numbers across reports.

SSIS training improves the ability to document transformations, manage error outputs, and show how data moves from source to target. That makes it easier to answer questions about where a number came from and why it changed.

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University