Cleanse, Model, And Turn Your Data Sets Into Robust Ecosystems With Our Data Engineering Services.
Firstly, our data engineers and business analysts conduct discovery calls with potential clients. During this stage, we try to go deep into the functional and technical requirements of the project.
Once we know the requirements, we review the current data sources. We also identify sources from which we need to gather future data.
After assessing the data sources, we create a data lake which we populate with raw data. We keep all unprocessed data in this data lake.
Once we centralize all raw files, we begin the data processing job. We start sourcing, formatting, resizing, unifying, and transforming data from raw files.
Once the product is fully launched, we continuously improve its performance, scalability, security, and stability to support long-term business growth.
In this crucial step, we bring our DevOps team to deploy the processed data into the chosen environment smoothly. An efficient deployment from our team ensures better analysis and availability of data down the road.
To offer our clients complete scalability, simplified maintenance, and effective cost management, we offer solutions based on cloud services. The platforms we use are Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
To help our clients take full advantage of the power of big data, we build data lakes and data pipelines. We also use distributed processing solutions together with orchestration tools such as Spark, Hadoop, Hive, Presto, Kafka, and Airflow.
We help our clients optimize their transactional databases and build advanced analytical systems by implementing ETL processes, data pipelines, data warehouses, and data marts using MySql, PostgreSQL, Oracle, Redshift, and BigQuery.
Dedicated solutions such as NoSQL databases improve working with unstructured data, which many of our clients have. To streamline the process, we use tools such as MongoDB, DynamoDB, Cassandra, and HBase.
We use tools such as Kinesis, DataFlow, Storm, and Flink to help our clients process and analyze large amounts of data in real time.
Don’t just take our word for it, see what our clients have to say! Their experiences speak to the quality and dedication we bring to every project.
