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iTechArt: Big Data for big results

Feb. 2, 2015
Today Big Data is changing the face of economy, healthcare, education, sales and many more. Companies all over the world see Big Data as a competitive necessity required to create new products; analyze, understand, and better serve the needs of customers.

iTechArt admits the fact that Big Data popularity is experiencing enormous growth. Nowadays a wide range of businesses perceives Big Data as a previously unknown key to tremendous opportunities. Being an innovative and open-minded partner to our clients, iTechArt immediately started to explore the Big Data world. iTechArt’s investments into this area result in our rapidly growing expertise in Big Data and thus increasing profits of our customers.

Big Data stands for a massive volume of both structured and unstructured data that is too large and complicated to process using traditional database and software techniques. Data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making. Here we can’t but mention Machine Learning and Data Mining, which made great impact on the Web, both in research and applications. Machine learning is a term that is closely tied to data science and Big Data on the whole. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning involves algorithm identification and finessing, whereas Data Mining implies a more static algorithm that is applied to fixed data. The output of machine learning is new algorithms identified through the process. Data Mining seeks to apply a pre-existing algorithm over data.

The demand for Big Data processing technologies is rising rapidly. Only Hadoop market is expected to exceed $50 billion by 2020, according to a recent report from Allied Market Research. Hadoop is one of the most popular platforms for working with Big Data. With the MapReduce model, Hadoop can take a query over a dataset, divide it, and run it in parallel over multiple nodes. Distributing the computation solves the problem of having data that’s too large to fit onto a single machine. For a range of Big Data projects iTechArt engineers use Spark, another fast and general processing engine compatible with Hadoop, along with NoSQL databases (Cassandra, MongoDB, etc.), numerous tools for Data Mining, Big Data search, data aggregation and transfer. 

One of our Big Data clients is Scivantage. Scivantage delivers intelligent and actionable information that goes beyond the boundaries of traditional financial software, helping improve investment decisions. iTechArt was involved in the development of Maxit product, a fully automated, real-time solution that provides accurate, adjusted cost basis reporting through a highly configurable platform. Furthermore, we deliver to our clients Big Data solutions for social networks, natural language processing, bioinformatics, retail, telecommunications, healthcare and insurance. iTechArt is convinced that the future is in Big Data, that’s why we are eager to gain new valuable skills in it and thus help our partners to remain at the top of  loaded with data business world.

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