Designation: Chief Architect
Topic of Talk: Data Analytics through Apache CarbonData+Spark
About the Talk:
Different application scenarios needs different storage solutions: HBASE is ideal for point query scenarios but unsuitable for multi-dimensional queries. MPP is suitable for data warehouse scenarios but engine and data are coupled together which hampers scalability. OLAP stores used in BI applications performs best for Aggregate queries but full scan queries perform at sub optimal performance. Moreover they are not suitable for real-time analysis. These distinct systems lead to low resource sharing and needs different pipelines for data and application management.
About the Speaker:
Raghunandan is chief architect at Huawei’s India R&D centre’s BigData practice at Bengaluru, where he leads the team on BigData technologies including Spark, Hadoop, HBase, CarbonData & ZooKeeper. He is one of the core members who conceptualized to open source CarbonData. He is also committer of Apache. Raghunandan has previously worked on BI, NMS and Softswitch products at Huawei.