2016 Predictions for Developers
2016 Predictions for Developers
Predictions for where developer technology is going in 2016 from analysts at MongoDB.
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Built by the engineers behind Netezza and the technology behind Amazon Redshift, AnzoGraph™ is a native, Massively Parallel Processing (MPP) distributed Graph OLAP (GOLAP) database that executes queries more than 100x faster than other vendors.
There have been a lot of interesting predictions for what may happen in technology for 2016. Some friends at MongoDB told me their predictions. The Kafka and Container Orchestration ones seem dead on. For me I would add microservices will continue to be important and the Apache Spark will explode even more. I feel Scala, Go, Python will gain steam and Java will remain steady. A lot of cool new projects and technologies will come out that work in big data, cloud and devops. We’ll have to see.
CIOs are focused on the infrastructure to process data. CDOs are tasked with making the organization see data as an asset: making that data accessible, managed and governed, and finding the balance between extracting value from data and mitigating the risk of breaches.
Kafka will become an essential integration point in enterprise data infrastructure, facilitating the creation of intelligent, distributed systems. With the growth of IoT, global deployments, and microservices, the need to capture and control in-flight data before it’s stored in a database is becoming more important. Kafka and other streaming systems like Spark and Storm will complement databases as critical pieces of the enterprise stack for managing data across applications and data centers.
Docker has clearly won the Container War, and everyone is now standardizing on it. Now the battle has shifted to container orchestration, and control of the data center is what’s at stake. There will be winners and losers, and some surprises. Interestingly, the winners will be the incumbent vendors — Red Hat and VMWare — who have figured out how to take the open source gifts from Docker and Google (Kubernetes), build them into their commercial products, and sell them to their existing buyers.
For more than a decade, performance bottlenecks have overwhelmingly been located in the storage tier. During that time CPU and network speeds have remained flat, which hasn’t been much of a performance issue since they tended to be waiting on the storage tier. With key innovations in storage — Intel’s 3D XPoint, a new form of NAND flash memory that increases density, endurance and performance, and NVME SSD’s superior and faster interface that bypasses the file system — the enterprise architect will now need to focus their efforts on optimizing applications at the CPU and network tier. As a result, application code will need to be optimized, and deployment architectures — like in-memory computing, as well as keeping copies of data near users across the globe — will become critical.
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