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Anika's solutions and services on Big data will give you a systematic approach for your architecture and design. This will completely help you with your IT infrastructure remodeling with complete analytics which gives you useful information and insights for making informed decisions. With the increasing amount of data in companies it becomes very essential to have a channelized approach to use the data effectively with new technologies.
We provide a proper approach and road map in using the right technology, architecture, design, hardware, tools, infrastructure and other necessary aspects for a transformation. With our Big Data services, companies can harness the massive amounts of data being created through various channels and processes and make the unstructured data into useful information.
In Information Technology, big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include to capture, curate, store, search, share, analyze, and visualize. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 quintillion (2.5×1018) bytes of data were created.

Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages, requiring instead "massively parallel software running on tens, hundreds, or even thousands of servers".
What is considered "big data" varies depending on the capabilities of the organization managing the set, and on the capabilities of the applications that are traditionally used to process and analyze the data set in its domain. "For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.

This calls for expertise on not just the technology aspect of it, but also understanding as to how data has to be harnessed, to increase efficiency. Big data requires exceptional technologies to efficiently process large quantities of data within tolerable elapsed times.
We at ANIKA understand that Real or near-real time information delivery is one of the defining characteristics of big data analytics. ANIKA provides the vision, talent, and technology so you can act now and get results from Big Data to better understand customer behavior, optimize operations, manage risks, and innovate.

Complete Designing and Performance tuning of BigData softwares like Hadoop, HDFS, YARN, Tez, Spark, Elasticsearch. Also working on a POC for offloading bigdata load onto a GPU using various techniques.

Our Expertise in Big Data Technologies

  • Advanced Spark Architecture
  • RDDs, DataFrames, Streaming, SQL
  • Elasticsearch
  • HBase
  • Kafka
  • Storm
  • Hadoop2
  • YARN, TEZ, HDFS, Security
  • Cassandra
  • Mahout

What does Hadoop do?
Hadoop changes the whole scenario of large scale computing. Its impact can be measured down to four prominent characteristics. Hadoop facilitates a computing solution that is:

Scalable : New nodes can be added as needed, and added without needing to change data formats, how data is loaded, how jobs are written, or the applications on top.

Cost effective : Hadoop brings massively parallel computing to commodity servers. The result is a sizeable decrease in the cost per terabyte of storage, which in turn makes it affordable to model all your data.

Flexible : Hadoop is schema-less, and can absorb any type of data, structured or not, from any number of sources. Data from multiple sources can be joined and aggregated in arbitrary ways enabling deeper analyses than any one system can provide.

Fault tolerant : When you lose a node, the system redirects work to another location of the data and continues processing without missing a beat.
ANIKA helps companies in creating the complete roadmap and software framework to implement Hadoop and all the other Big Data Technologies.