Distributed analytics frameworks like Hadoop and Spark that seamlessly scale to process large datasets across cloud infrastructure. These process information concurrently using many servers.
02
Storage
Massive datastores including HDFS and object stores from cloud providers reliably retain petabytes of structured, semi-structured and unstructured information with data redundancy safeguards.
03
Tools
Programming environments, interactive session managers, SQL-like querying interfaces and ETL/ELT workflows seamlessly integrate diverse source material for exploration and automation.
04
Sources
Heterogeneous inputs such as transaction logs, sensor feeds, application records and files are easily accessed via standardized APIs, change logs or scheduled loading.
Services associated with big data
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Analytic workloads fluctuate daily but cloud-based systems seamlessly expand to massive scale or downsize as needed to efficiently match demand.
Cost Optimization
By avoiding expensive on-premise hardware purchases and employing pay-as-you-go pricing, costs become operational expenditures instead of large upfront capital investments. Ongoing charges scale directly with usage.
Agility
Adding new data sources, processing techniques or machine learning algorithms happens in minutes versus months through cloud-based experimentation.
Expertise
Being connected with big data specialists to operate sophisticated distributed systems allows internal staff focus on primary duties rather than operational management headaches. Rapid skills augmentation speeds delivery.
Data Fabric
Connecting Your Business with a Universe of Actionable Data Insights
Unlocking Insights from Diverse Business Information
As organizations gather petabytes of data from numerous sources daily, establishing a central data lake provides the foundation to extract unprecedented value. By passively collecting and organizing raw assets independently of current analytics demands, data lakes empower flexible exploration of previously untapped insights.
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Work with the Right Experts
Platform Breadth
Employ our full-stack data platform including Spark, Hadoop, Presto and cloud-native services to unlock insights from any data source.
Expertise
Our team of data scientists and engineers have decades of experience building custom big data solutions for enterprises.
Security
Robust security controls including encryption, access management, auditing and compliance help ensure regulatory peace of mind.
Agility
Rapidly experiment and iteratively refine your approach through an integrated hybrid cloud environment tailored for analytical agility.