BIG DATA ANALYTICS – HELICAL IT SOLUTIONS
We at Helical IT Solutions Pvt Ltd believe that success of Big Data projects lies not only in its implementation but also in its analysis to establish a system that drives change in the processes of the organization. We can help you create magic with big data – from data ingestion, data processing, data storage/data warehouse, BI, and analytics, to implementing streaming analytics, etc.
Note that to build your data pipeline, we could use your heterogeneous and multiple data sources. We have experience with various open-source tools, ETL tools, NoSQL databases, popular Apache products as well as proprietary products which can be used for any of the above operations.
Get in touch with us to learn about our capabilities, skillsets, use cases and demo of Big Data analysis.
Data ingestion is the first step in data pipeline and it involves fetching data from one or various data sources into a system wherein it can be stored and analysed. Based on the data-source, data ingestion can be done either in real time (streaming) or in batches.
Processing of different batches can be concurrent too. With streaming, as the name suggests, as soon as the data comes in, it is loaded into the target, near real-time.
Various factors make data ingestion an extremely complex process including increasing number and variety of data sources, structured and unstructured data, speed of data, identifying and capturing changed data, etc. A good data pipeline involves building data ingestion which is able to handle the above challenges along with taking care of network latency, network bandwidth, etc.
We are experienced in various types of data ingestion tools – proprietary as well as open source. Some ETL tools we work with are Talend / Pentaho Data integrator, Apache Flume, Apache Flink, Apache Spark, Kafka, Nifi, Sqoop, Kylo, etc.
In data processing, we basically process the data which was ingested. It could involv