Databricks is an orchestration platform for Apache Spark. Users can manage clusters and deploy Spark applications for highly performant data storage and processing. By hosting Databricks on AWS, Azure or Google Cloud Platform, you can easily provision Spark clusters in order to run heavy workloads. And, with Databricks’s web-based workspace, teams can use interactive notebooks to share datasets and collaborate on analytics, machine learning, and streaming in the cloud.

For marketing and product teams in 2021, using a customer data platform (or CDP) to pipe and clean data from their websites and web apps to various other services have become a widely used industry standard. More specifically, Segment's adoption has skyrocketed in startups and later stage companies and I predict their growth to continue across enterprises with their acquisition into Twilio.

Elastic Cloud on Kubernetes (ECK) is an easy way to get the Elastic Stack up and running on top of Kubernetes. That’s because ECK automates the deployment, provisioning, management, and setup of Elasticsearch, Kibana, Beats, and more. As logging and metric data — or time series data — has a predictable lifespan, you can use hot, warm, and cold architecture to easily manage your data over time as it ages and becomes less relevant.

Real-time processing provides a notable advantage over batch processing — data becomes available to consumers faster. In the traditional ETL, you would not be able to analyze events from today until tomorrow’s nightly jobs would finish. These days, many businesses rely on data being available within minutes, seconds, or even milliseconds. With streaming technologies, we no longer need to wait for scheduled batch jobs to see new data events.

Data Science and business are co-related in much more ways in this modern world. As data is the key to drive businesses, Data Science solutions are the bridge that helps achieve the organizational goal to improve business value. Many companies extending from large scale to small scale use the wide possibilities of data science to make their business successful.

Amazon’s Elastic Map Reduce or EMR, makes it easy to set up, operate and scale big data environments. This enables data scientists and developers to rapidly analyze massive amounts of structured and unstructured data. Combined with Spot by NetApp’s Elastigroup, data scientists can reliably run EMR core and task nodes on highly affordable EC2 spot instances.