use MongoDB in more projects with the same core database. Mission-critical apps. MongoDB delivers major advances in the critical areas of governance, high availability, and disaster recovery. New tools for new users. Now MongoDB is an integral part of the tooling and workflows of Data Analysts, DBAs, and Operations teams. Themes
highly predictable throughput and latency for the most demanding workloads • In-memory computing without trading away guarantees of disk-based databases like – Rich query flexibility – Real-time analytics – Scalable capacity – Durability • Durability via replica set members running disk-backed storage engine
sensitive data for regulated industries • Durability via replica set members running disk-backed storage engine • Beta testers observed an average 15% overhead – lower than many 3rd party encryption solutions • Visit the documentation for information on configuration Note • Based on the WiredTiger Storage Engine • Available in MongoDB Enterprise Advanced
without sacrificing agility that comes from dynamic schema • Enforce data quality across multiple teams and applications • Use familiar MongoDB expressions to control document structure. More power to the DBAs • The DBA can specify which documents in a collection should be validated • Failed validations can be configured – Hard error – Just a warning
and isolation of primary in replica set – Reduces interval between primary failure and the replacement – Resolves false-positives caused by network glitches – Allows efficient intra-cluster communications, even as the replica set grows What you get • No more than 2 seconds to detect and recover replica set primary failure – Exact time is dependent on system configuration – Tune the timing with the electionTimeoutMillis parameter • Clusters more resilient to overloaded or unreliable networks
MongoDB using standard tools and SQL • $lookup: Join data from separate collections for more convenient analysis • Aggregation Enhancements: Faster & simpler real-time analytics with new accumulators, arithmetic & array operators
of ad- hoc queries • Visualize schema – Frequency of fields – Frequency of types – Determine validator rules • View Documents • Graphically build queries • Authenticated access
from global view of infrastructure: APM tools integration, e.g. New Relic, AppDynamics. • Then, drill down: Profiler visualization in Ops Manager • Then, deploy: Automated index builds • Next, refine: Partial Indexes improve resource utilization