For 5 years, we have been providing a full range of big data services: consulting, implementation, support and managed analytics, to allow companies to get valuable insights out of their big data, analyze interconnected problems and find their root causes, as well as build reliable predictions.
As any big data solution has the business and technological aspects intertwined, we always assign a project team consisting of both business analysts and technology consultants to render big data services.
Big data implementation consulting
Are you planning to implement a big data solution or completely revamp the existing one? We design cloud, on-premises, and hybrid solutions that convert your big data into actionable insights. That’s what we’ll provide you with:
Big data improvement consulting
If you aren’t completely satisfied with your existing big data solution, we create your individual improvement roadmap. By doing so, we eliminate the existing problems (both the obvious ones that you inform us of and the hidden ones that we elicit based on our experience). The new concept design is intended to maximize your analytics potential. For example, we can recommend incorporating data science to enable advanced analytics or adding reports that give extra insights.
We deliver big data solutions that usually comprise the following architecture components: a data lake, a data warehouse, ETL processes, OLAP cubes, reports and dashboards. We set up data quality management and data security practices. We train and apply data science models, with its machine and deep learning algorithms, to let businesses enjoy the high accuracy of predictions.
We provide the administration of your big data solution that includes such activities as updating software, adding new users, handling permissions, as well as data administration that includes but is not limited to data cleaning, backup and recovery. We also can conduct regular health checks to ensure that your big data solution is still secure, failure-resistant and highly performing. Besides, we can monitor your solution’s performance to identify problems as early as possible (even before they occur) and troubleshoot them.
Looking for a reliable service provider to outsource your big data analytics? We set up transparent collaboration based on KPIs, taking responsibility for the value of analytics insights that you get. We create and support the infrastructure for your big data solution, get your data extracted and cleaned, and machine learning models (if any) trained and tuned. And what remains for you is to benefit from insightful predefined and ad hoc reports that become available within a couple of weeks after our cooperation starts. What’s more, we continuously improve the solution, adjusting it to the changing needs of your business.
Here’s the list of technologies most frequently used in our big data projects:
Hadoop Distributed File System
Apache Cassandra, Azure CosmosDB, Amazon Redshift, Amazon DynamoDB, Apache Hive, Apache HBase, Apache NiFi, MongoDB
Apache Airflow, Talend, Informatica, Zaloni, Apache Zookeeper, Azkaban
Big data processing:
Apache Kafka, Apache Spark, Apache Flink, Apache Storm, Druid, Hadoop MapReduce
Spark's Machine Learning Library, Amazon Machine Learning, Azure Machine Learning Studio, TensorFlow, Theano, Torch, Einstein
Java, Scala, Python, R
We’ll share our ideas of the big data solution that would fully satisfy your needs, be it your own or outsourced, with clearly envisaged or yet to be shaped concept, developed from scratch or revamped.