Data Lakes Solutions and Consulting

Is your company looking for a data storage and analytics solution that is more adaptable and agile than standard data management systems? Big data lakes allow data to be stored in its original format and from several sources in a single location. The solution of big data lakes is the best option for you!

A data lake can assist you in establishing a centralised data management infrastructure that will allow you to store, analyse, classify, and manage your data on a continuous basis. Auto Innovative Hub can supply big data lakes solutions and consulting services, which are the foundation for all of the most recent technological revolutions, including as Adaptive Machine Learning Systems, Internet of Things, AI-based Robotic Automation Systems, and so on. You can gain access to a number of advantages by outsourcing large data lakes solutions and consulting to us.

Our Big Data Lakes Solutions

Big data consolidation has become a need as the number of data sources such as mobile phones, wearable devices, healthcare devices, and other connected appliances, among others, continues to grow. Our Big Data lake solutions assist businesses in determining what to do with the massive amounts of data that accumulate within their organisations. With the support of cutting-edge infrastructure, our staff can assist you with all of your Big Data lake solutions. Among the services we provide are:

Data Lake Implementation Storing unorganized and unmanaged data in a Hadoop cluster can severely affect the big data analytics. Our team of highly experienced data scientists can help you design and implement a highly efficient data lake strategy within a quick time.

Analytics and Data Science on Big Data Our expert data science specialists have the required skills and experience to provide our clients during the modeling, materialization, and preparation of different BI and analytical tools.

Big Data Training Our team of data science trainers can help your employees completely utilize the full business value of your data using our expertly customized modules. We provide skill-based training as well as certification training to our clients.

Establishing Big Data Competencies We have the required experience and skills in working with some of the latest technologies including machine learning and deep analytics and we can help you to set up some of the trending big d ata competencies depending on your requirement and nature of your business.

Big Data Strategy Our experts can help you identify and discover the required big data strategy. We can also access and classify the information based on the types of data structure.

Big Data Engineering Our data engineering services help clients to reduce operational costs, speed up new product development, and discover new revenue and information sources. We have the required experience of working with enterprise data lakes, cloud platforms, ingestion pipelines, big data integration for structured and unstructured data.

Managed Services We have the required skills and bandwidth to provide our clients with a series of managed services including 24/7 monitoring, maintenance of Hadoop Distribution in both cloud and local environments. We can also provide dedicated project managers and onsite support as per the client's requirements.

Big Data Knowledge Partner Services Big Data is still in its initial stages and it is important to have an experienced partner to help you through all the processes. We will ensure that all your requirements for the big data initiative will be met at the right time.

Big Data Lake Consulting We Offer

We believe in giving the highest quality services to our clients since we recognise the relevance of big data analytics in today's business world and how it affects an organization's decision-making. We stress the use of some of the most up-to-date techniques and technologies as part of our consultations to ensure that the big data pools project runs smoothly.

Technology Consulting

1. Data Ingestion technologies - Kafka, NiFi; Streaming data ingestion tools - Flume, Spark Streaming
2. NoSQL Database design and management - Cassandra, HBase, MongoDB, Neo4J
3. Warehouse Data management tools - Hive
4. Workflow Management tools - Oozie and Luigi
5. Query Layer tools - Pig, HiveQL, Phoenix, Spark SQL, Presto
6. Security and Governance layer - Sentry, Ranger, Atlas
7. Software Programming - Spark, Map Reduce
8. ML tools - Python MLlib, Mahoot, R
9. Federation Tools - Apache Drill
10. Enterprise Search tools - Solr

Solutions Consulting

1. Architecture of Big Data Lakes
2. Data Ingestion design criteria for disparate sources
3. Data Governance and consumption solutions
4. Downstream analytics use case solution approach

Corporate Training

1. Basic Level - onboarding Big Data Engineers and Data Scientists
2. Intermediate Level - Tool specific training and solution design
3. Advanced Level - Solution Architecting and Development using Big Data Platform and ML tools