Big Data

We help our clients unleash the true potential of your business data with our advanced big data analytics services. At EMZOID, we implement Big Data solutions in an agile and non-disruptive way, complementing the models and systems that the client already has, and contributing to the decision making with a balanced investment in time and costs, thinking about the future.

Our Big Data services and solutions help companies to quickly go deep into knowledge discovery and business intelligence, turning complex data into key information to transform your business. We can help with data integration, storage, management, protection and easy accessibility for useful insights. Our solutions are easily scalable according to your changing business and data requirements. We enable you to take informed business decisions that are backed by potent information derived from the raw data.

• Data Collection: A viable data collection strategy is determined in accordance with the technologies that are currently prevailing in your organization. In a bid to do so, strategies of every other department are reassessed and the right kind of foundational infrastructure is set to make the benefits of the data collection strategy reverberate through the entire organization.
• Data Processing: Capabilities to process the data even at volumes in the range of petabytes are determined and introduced. This includes offline batch-data processing with the ability to work at highest possible power and the largest possible scale. This also makes real-time data stream processing possible along with the ability to derive valuable action points related to Business Intelligence.
• Data Analysis: Depending on the type of data that is being accumulated and the type of insights that need to be driven out of it, a data analysis technique among the various possible techniques is chosen. This can range from predictive analytics and data mining to textual and statistical analysis. Technologies such as Hadoop, YARN, NoSQL, Spark, Pig, Hive, MapReduce.
• Data Execution: A data execution framework, out of the multiple available ones, is determined here. This can be one out of Hadoop ecosystems like Storm, Stanza, Spark, Flink, and Tez. We choose the framework that has the best chance of solving all your current issues.

1. Big Data Consulting: Our comprehensive team of Big Data experts is well-versed in every industry requirement, right from the inception of the idea to its implementation. With our big data advisory service, you can look forward to detailed advice about the architecture to be used, capacity planning to meet the end-goals, strategies to improve the time to market, data integration with the current solutions, information about MAP reduce code and the like. With our support, every component of the Big Data ecosystem is within your reach.
2. Data Engineering: Our Data Engineering processes help you to develop robust capabilities to deal with all sorts of data tasks like volume, velocity, veracity and the prowess to handle the various data types. This is incepted by implementing Data Lakes that act as the foundation of data to develop a range of analytical solutions. Eventually, Data Pipelines are developed that take the data out of the sandbox environments and onto the hands of the end users. Finally, value is realized since the operational costs of Data Science solutions are reduced and new revenue sources can be discovered.
3. Data Capture and Cleansing: We perform the treatment, storage and integration of high volumes of data whether structured, semi-structured and unstructured, and from various sources, both those already available and new ones that are not analyzed at present and can be key to the business: databases, logs and records of applications, internet and e-mail, mobile devices and IOT, social networks, etc.
4. Data Exploration and Analytics: Our reporting and analysis techniques are designed to support your business in achieving both short and long-term goals. We are experts at the creation and validation of predictive models, relying on statistical techniques and machine learning to add intelligence to data. By realizing new business opportunities, we will drive your company towards accelerated growth.
5. Technical Architecture: We design, prescribe and implement the technical architecture of the integrated Big Data platform, with storage systems either in local architectures or in Cloud Computing. We consider all the existing systems and technologies in the Big Data universe, we propose the most suitable ones and integrate them in a scalable way into the existing client’s ecosystem.
6. Visualization and Monitoring: We incorporate advanced visualization tools in data analytics, for Dashboards and Reports that help us to a better decision making and, when it is necessary, in real time. We also recommend the use of tools to control, monitor and manage the Big Data architecture itself.
7. Application Development and Systems Integration: Create and deliver optimum and engaging features to drive user engagement on a single and secure platform. Make scaling easier by processing high-velocity and high-volume transactions and events more efficiently and in a faster time frame. Processes here include Data integration, embedding, and mobile management.