Big Data & Data Science

Big Data

Data Science & Big Data

Big Data is becoming an increasingly important field, and a while ago INSART made it one of the company’s corporate development priorities to establish a powerful Big Data and Data Science practice.

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Since Big Data is becoming an increasingly important field, a while ago, INSART made it one of the company’s corporate development priorities to establish a powerful Big Data and Data Science practice. The foundation was laid by several Big Data projects INSART had previously taken part in as a standalone provider. However, we became a full-fledged provider of a broad array of Big Data services while working together with our long-term U.S. partner and client AlphaLab, a company that has long-standing experience in delivering Big Data analytics to market-leading North-American ECNs, brokerages, and proprietary trading firms.

Presently, INSART is uniquely positioned to develop top-of-the-range software tools for processing large amounts of data and performing intricate calculations, while also providing its clients with access to the full spectrum of benefits associated with the company’s Eastern-European offshore location.

• GOOD COMMAND OF KEY DISCIPLINES AND EXCELLENT HACKING SKILLS

INSART is a company that has ample access to a bottomless pool of diversely and excellently educated resources. We are also a company with a lifelong research and academic tradition, very closely linked to our corporate employment policy.

Today, we have the benefit of employing a panel of versatile experts whose professional profile includes both very good software engineering skills, and a mathematical or statistical background, or just a good command of math and statistics.

This contributes to the quality of the development process, allows us to avoid distributing tasks that can be handled by one employee across several employees, and, as a result, enables us to smoothly integrate the different parts of the project.

• EXPERTISE IN INDUSTRIES WITH A HEAVY USE OF BIG DATA ANALYTICS

INSART's Big Data experts have taken part in a number of projects for the Financial Services, e-Commerce, and other industry sectors. We also have a well-established knowledge-sharing system, and a well-tuned practice of assigning industry knowledge holders, deployed on other projects, to directly support a project team currently in need of knowledge support.

• JOINT SERVICE OFFERING WITH A MARKET LEADING PROVIDER

INSART and AlphaLab offer a joint Big Data service package for FX brokerages and asset management firms, delivered by a joint team of Data Scientists, Algorithm Developers, and Software Engineers experienced in Finance, Trading, and Risk. The package is aimed to enable hedge funds to efficiently process large amounts of data and gain insights into investment opportunities by using advanced visualization capabilities. FX Brokerages, in their turn, can now efficiently profile their liquidity providers and customers to increase their profit margins and volumes. The service also alows them to automate their strategy execution.

• A GOOD COMMAND OF A BROAD ARRAY OF RELEVANT TECHNOLOGY TOOLS

INSART’s experts are well-familiar with, and experienced
in using the following tools:
Apache Hadoop

Apache Hadoop is an open-source software framework for data storage and processing and resource management. Apache Hadoop allows you to manage large amounts of both structured and unstructured data quickly and without any significant investment.

Hazelcast

An in-memory, Java-based data grid, in which multiple nodes form a cluster and data is evenly distributed across all the nodes. This approach ensures horizontal scalability both in terms of storage space,

NoSQL database

The database provides a mechanism for data storage and retrievaland has several advantages: simplicity of design, horizontal scaling, improved availability control, highly optimized key–value stores.

MongoDB

MongoDB is a cross-platform document-oriented databasesystem. Classified as a NoSQL database, MongoDB has a structure based on JSON-like documents with dynamic schemas, which makes integrating data in certain types of applications easier and faster.

RedShift

A petabyte-scale data warehouse service that allows efficiently analyzing data using a company’s existing business intelligence tools.

 

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