Data migration in 2026 looks nothing like it did three years ago. Teams that used to plan one big cutover now run continuous migration programs across multiple clouds. AI assists the planning. Fabric platforms replaced siloed warehouses. Streaming replication replaced overnight batch jobs. Security and governance are designed in from day one instead of bolted on at cutover. Gartner still
Most enterprises run analytics across five or six different tools, and the cracks are showing. Azure Data Factory handles ingestion, Synapse runs the warehouse, Power BI sits separately, and governance is bolted on. Each handoff adds latency and cost. Microsoft Fabric collapses that stack into a single SaaS platform. Adoption is moving fast, with Microsoft reporting 35,000 paid Fabric customers,
When Toyota Motor Vietnam needed to manage hundreds of terabytes of data generated annually from assembling over 10,000 vehicles, their existing tape-based backup infrastructure could no longer keep up. They overhauled their data management systems entirely. Data migration in automotive is increasingly the first move organizations make when legacy infrastructure stops keeping pace with production, connected vehicle, and compliance demands.
SAP’s end-of-life timeline for Crystal Reports is no longer theoretical. Crystal Reports 2016 support ended on December 31, 2024, and Crystal Reports 2020 reaches end of maintenance on December 31, 2026 . For organizations running either version, this directly impacts long-term reporting strategy and accelerates the need for Crystal Reports to Power BI migration. After these dates, there are no
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