As one of the largest mobile carriers in the United States, T-Mobile operates at a massive scale. The company’s network performance management platform, T-PIM, collects data from more than 150 sources and serves over 40,000 ad hoc reports to thousands of active users each day. However, as network data continued to grow, T-Mobile’s legacy warehouse was starting to feel the pressure. The operating costs and limits on scale simply weren’t sustainable, and the team needed greater flexibility to bring data in quickly for immediate reporting, so they made the decision to migrate to a Hadoop-based platform.
Travis Bakeman shares his team’s journey of migrating a legacy Oracle cluster to a modern analytic database with Hadoop and Impala at the core. Travis covers the phases of their migration, including the challenges the team faced, how they evaluated new technologies, why they chose Impala as their main reporting interface, how they implemented security best practices for adding customer call detail records, and lessons learned along the way. Travis also discusses some of the successes as a result of this migration, including cost savings, operational efficiencies, and overall reduction of their analytic database footprint, and what’s next for the big data platform.
Travis Bakeman is a senior manager of systems design and strategy at T-Mobile, with a focus on network performance management and big data analytics, where he is responsible for multiple teams that deliver enterprise solutions leveraging off the shelf options such as Splunk, Oracle RAC, and open source technologies like Cloudera Hadoop. During his tenure with T-Mobile, he has worked in operational support, database administration, data mediation, report development, data enrichment, and frontend application design. Previously, Travis worked in military intelligence in the United States Army. He started his career in the telecom industry in data center operations.
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