Big data and advanced analytics are creating profound new opportunities for businesses, yet we found that only 4% of companies are able to combine the right people, tools, data and organizational focus to take advantage. Tekizma Inc. helps you to realize the value of big data to make our partners advantageous. We are expert in vast set of technologies of Big Data and strive hard to make it really match with your business needs so that our partners can handle there business more efficiently.
Tekizma Inc. provides expert Product Engineering and Consulting in Big Data Technologies.
BIG DATA AREAS | DESCRIPTION | TEKIZMA EXPERTISE |
---|---|---|
Predictive analytics | Software solutions that allow firms to discover,evaluate, optimize, and deploy predictive models by analyzing big data sources to improve business performance or mitigate risk. | Apache Sparks, MLIB,Apache Mahout,Scipy |
NoSQL databases | Key-value, document, and graph databases | Mongo DB |
Stream analytics | Software that can filter, aggregate, enrich, and analyze a high throughput of data from multiple disparate live data sources and in any data format | Hadoop, Apache Sparks |
Hadoop, Apache Sparks | provides low-latency access and processing of large quantities of data by distributing data across the dynamic random access Apache Ignite memory (DRAM), Flash, or SSD of a distributed computer system. | Apache Ignite |
Distributed file stores | a computer network where data is stored on more than one node, often in a replicated fashion, for redundancy and performance. | HDFS |
Data virtualization | a technology that delivers information from various data sources, including big data sources such as Hadoop and distributed data stores in real-time and near-real time. | Jboss Data Virtualization |
Data integration | Tools for Data Orchestration across solutions. | Amazon Elastic MapReduce (EMR),Apache Hive, Apache Pig, Apache Spark, MapReduce, Hadoop, and MongoDB |