Speed up Big Data Analysis with Cloudera Apache Hadoop Distribution

Speed up Big Data Analysis with Cloudera Apache Hadoop Distribution

A correctly setup Hadoop cluster can analyze a human genome in hours, while a poorly optimized one will take days and use twice as many nodes. Although Hadoop is a free product, potential issues are many. Even a slight error in your algorithm can introduce significant inaccuracies into end results. Other common pitfalls include the peculiarities of different OS’s and distributions, problems with assembling clusters, virtualization, etc.

By utilizing Cloudera Distribution Including Apache Hadoop (CDH), you will be able to speed up data processing and reach your big data objectives, relying on the 100% open-source enterprise-grade solution. CDH eliminates vulnerabilities of the open-source Apache Hadoop and provides stability and reliability crucial for production deployments. In addition to Apache Hadoop, Cloudera’s distribution contains solutions for batch processing (MapReduce, Hive, Pig), massively parallel SQL querying (Impala), machine learning (Spark, Mahout), stream processing (Spark), etc. to satisfy all of your big data project requirements.

CDH features YARN, a new cluster management system, that will enable you to run multiple applications simultaneously. Cloudera’s Hadoop can be easily integrated with solutions from such industry leaders, such as Oracle, Dell, HP, Cisco, NetApp, Tableau, SAP, etc. to run large-scale data-intensive applications.

Scale to petabytes of data and hundreds of nodes

Serving leading technology vendors, such as Joyent, Couchbase, RightScale, and others, the team of Hadoop / Hortonworks developers at Altoros helps to implement scalable Hadoop-based solutions for data mining, analysis, visualization, etc.

Build and fine-tune large Hadoop clusters

Assemble, deploy, test, and optimize efficient Hadoop clusters of any size and complexity

Create advanced algorithms

Design algorithms for distributed computing of custom processes

Achieve endless scalability

Build distributed systems that can easily scale to petabytes of data and hundreds of nodes

Implement process automation

Automate deployment, administration, and performance monitoring of large Hadoop clusters

Hadoop-based solutions from cluster monitoring to machine learning:

  • Building complex systems since 2001, Altoros has proven expertise in Hadoop-based data processing tools, such as Mahout, Hive, Pig, Chukwa, Oozie, ZooKeeper, etc.
  • 20+ successfully deployed Hadoop clusters: the largest one of them consists of 400+ nodes.
  • You’ll get access to 100+ professional data scientists who work for the most reputable universities in Eastern Europe. Our engineers can work both onsite and offshore according to your project needs.
  • Our R&D engineers performed multiple benchmark studies of Hadoop implementations, NoSQL databases, and cloud systems published by CIO.com, NetworkWorld, ComputerWorld, TechWorld, and other industry magazines.

Want to discuss how to accelerate your product delivery?



Keskustele asiantuntijamme kanssa



Ari Mutanen
Maajohtaja
+358 50 568 0532
ari.mutanen@altoros.com

Altoros Finland Oy
Mannerheimintie 113, Aitio Business Park
00280 Helsinki

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