Big Data: Spark, Hadoop, MongoDB
Apache Hadoop enables distributed parallel processing of extremely high volumes of information (on the petabyte scale) across large clusters of low-cost servers, and is the chief enabling technology for Big Data.
Hadoop is used increasingly by both industry leaders (Facebook, LinkedIn, Orbitz, Chevron, eBay) and by small and medium-sized organizations working in various industries including online travel, fraud detection, e-commerce, energy, IT security, healthcare and others.
First Line Software Solutions Using Hadoop
First Line Software specializes in implementing, configuring and optimizing Hadoop-based clusters for greater performance, scalability, and reliability. Our engineers and architects have extensive experience building highly scalable, reliable, distributed systems that can store, process and analyze extremely large volumes of structured or unstructured data quickly and cost-effectively using best-of-breed technologies.
First Line Software’s team of NoSQL and Big Data experts can support a broad range of initiatives and projects utilizing Hadoop technology, including:
- Setting up a low cost, highly scalable data warehouse with HBase running on top of Hadoop (for database-style access to Hadoop-scale storage or for high-scale transactional applications), including the ETL migration processes.
- Implementing Hive, a data warehouse infrastructure, directly on top of Hadoop or in conjunction with HBase (if low latency is required) for analytical operations, like summarization and ad-hoc queries.
- Implementing specific MapReduce processing jobs (using Pig, Java, Python, or R)
- Implementing a comprehensive search facility based on the combination of Lucene/SOLR and Hadoop (we have significant expertise in using Lucene for morphoanalysis, compound word processing, etc.)
- For Big Data analytics, implementing a BI frontend for a Hadoop-based data warehouse using open source tools such as Pentaho or JasperReports
- For machine learning or data mining projects (e.g. recommendation and classification engines), implementing Mahout on top of Hadoop
- For processing high volumes of graph data, implementing a solution based on Titan, a highly scalable transactional database that can use HBase as storage backend
In addition, First Line Software has established a partnership with Arenadata, a company with substantial expertise in data storage and analysis. Their team has built a universal data storage and analytics open source platform – Arenadata Unified Data Platform – and a distributed database using the MPP (massively parallel processing) principle – the Arenadata DB (ADB). This cluster database is founded on the proven Greenplum Database and can be used as the core of a corporate data warehouse. Customizing these proven Hadoop resources helps accelerate the completion of projects and reduces the cost to First Line clients. Arenadata provides complete technical support and owns the responsibility for updating the platform and database with any changes to Hadoop.
For more information about First Line Software’s development and consulting services and capabilities for projects involving Big Data, visit our Big Data Development page.
Contact us today to discuss how we can support your next Big Data initiative.
Download Case Study
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