Are on-premise data lakes becoming obsolete?

Data lake is a centralised repository of data, stored in raw format. On-premise data lakes, built on HDFS clusters, are high maintenance: Organisations have to spin up servers, orchestrate batch ETL jobs, and deal with outages and downtime apart from integrating a wide range of tools to ingest, organise, pre-process, and analyse the data stored in the lake. Aside from capital expenditure to set up the infrastructure, the operating costs of on-premise data lakes make them less feasible. The scaling of on-premise data lakes infrastructure calls for manually adding and configuring servers.  The on-prem data lake demands a tight check on resources utilisation and is cost-intensive. Taking the cue, organisations are now moving their data lakes to the cloud. Benefits Cloud data