Fully Managed Services & consulting

Apache Spark

Lightning-fast data and stream processing

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Spark

Why choose Apache Spark?

In the age of real-time computing, only the fastest businesses will excel. Apache Spark uses in-memory data processing to analyse incoming data quickly and efficiently, accelerating the pace and quality of data-driven operations and decision making.

Speed

Apache Spark has been designed to deliver optimum speed at all times, delivering large scale data processing 100x faster than Hadoop. The more quickly you can process incoming data, the sooner it can be put to work for profit-making activities.

Machine learning

Moving beyond MapReduce, Apache Spark also provides high level machine learning capabilities. 

Real-time processing

Apache Spark is capable of processing an incoming stream of data in real time. This opens a range of possibilities to build cutting-edge solutions around IoT, log processing and any other application that needs to be operated in real time.

Fully Managed Apache Spark

Digitalis has extensive experience of specifying, configuring, deploying and optimising Apache Spark in production environments – in the Cloud and on premises.

The Digitalis fully managed service will look after the complete lifecycle of your Spark deployments. It is designed to be deployed how and where our customers need it to be without the need to build an in-house ops team. We integrate with your tools, processes and teams and can manage Apache Spark across all your environments and choices of infrastructure. Our team of experts will support your platform 24×7, tailoring the service to your enterprise processes and security requirements.

Deployed & managed where & how you want

Cloud – on premises – hybrid

The Digitalis fully managed service is designed to be deployed how and where our customers need it to be. We integrate with your tools, processes and teams. We can deploy and manage your Apache Spark jobs and piplines across all your environments and choices of infrastructure. Our team of experts will support your platform 24×7, tailoring the service to your enterprise processes and security requirements.

Public Cloud

Public Cloud

Private Cloud

Private Cloud

Kubernetes

Kubernetes

Bare Metal

Bare Metal

Our Fully Managed Service includes:

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24x7 INCIDENT SUPPORT

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MONITORING & ALERTING

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PATCH MANAGEMENT

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SLA ADHERENCE

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SECURITY

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CAPACITY MANAGEMENT

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JOB TUNING & CONFIGURATION

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TOOLING

Spark Consulting Services

We will assess your strategic goals and design Apache Spark services and applications to assist.

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APACHE SPARK ARCHITECTURE

Deployment architecture

Security design

Capacity design

Disaster Recovery design

Performance optimisations

Patching & upgrade strategy

Observability design

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APACHE SPARK IMPLEMENTATION DESIGN

Deployment automation

Security implementation

Patching & upgrade automation

Customer schema design and implementation

Operational Acceptance Testing

Performance Testing & Tuning

Disaster recovery process

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High-performance Apache Spark framework

Learn more about our Apache Spark deployments – and what we can do for your business.