Our Approach to
Data Lake Consulting Services
We give you a road map to create a framework for your data
We integrate existing data sets and tools into advanced techniques
We facilitate a smooth adoption of data lake in your organization
We provide enterprise-grade authentication for data security
We provide BI solutions for real-time monitoring of workflows
What We Deliver
Evon helps companies with data strategy, architecture, transformation on the cloud, and management services to discover virtual enterprise vision. We help set up data science, predictive analytics, and data visualization to gain insights to enhance decision-making. It involves relational 3NF structured data, XML, CSV, JSON, and more. We will help you determine which cloud platform is right for your data lake.
Data Lake Architecture
It includes security, governance models, metadata management and solutions, stewardship, authentication, master data management, orchestration and ETL process execution, cluster, configuration, and performance optimization.
Data Lake Foundation
It provides a fully functional data lake with data submission, ingest processing, data validation, metadata extraction and aggregation, security model, trusted data treatment, and publishing.
Data Lake Analytics
It includes modeling, materialization, and preparation for analytics and BI tools; event-based OLAP analytics and discovery and exploratory analytics within data labs.
Our Big Data and Data Lake Services
Data Lake Implementation Services
It involves implementing or upgrading an enterprise data warehouse, one of the most important projects your company will undertake. Leverage a consistent and robust way of storing, processing, and analyzing massive amounts of data.
Big Data Consulting
Our big data consulting company uses modern technologies and tools like Delta lake, Spark, Hadoop, and cloud technologies to process your datasets, gain business insights from them, and put forward the most effective strategy for a data culture implementation.
Data and Analytics Strategy Development
We have extensive experience in analyzing clients’ data analytics requirements and developing the right approach for their business. With an in-depth understanding of the data, facilitated by data governance best practices, we make data usable and simplify your data-backed decision-making.
End-to-end Data Lake Implementation
Complete architecture implementation from varied data ingestion i.e. structured, unstructured, and semi-structured data to data storage, data preparation, data governance to data discovery, and security.
Maintenance and Support
Preserve and maintain your Azure Data Lake Analytics investment by leveraging our domain expertise for constant maintenance and support. Our Azure cloud support resources will focus on Azure audits, SLA (service level agreements) management, and comprehensive managing and reporting.
Benefits of Hiring Evon for
Data Lake Solutions
Streamline data access to self-service consumption by linking data and applications across a hybrid multi-cloud environment, as 80% of the organization has to go through.
Get the most worth from AI with the proper data integration, governance, and tools as 50% of businesses need more accuracy of AI data needs and assistance with data complexities.
Proficient in universal data management, whether structured, multi-structured, or unstructured. Along with data lake knowledge discovery and generating faster usable insights.
Expertise in integrating multiple datasets and sources for developing streaming data pipelines for real-time business progress.
Designing and implementing cloud data lake services and storage solutions on major platforms like MapR, Hadoop, Azure, Pentaho, Talend, and MongoDB cost-efficiently.
Artificial Intelligence/Machine Learning proprietary products for conducting advanced analytics on massive data stored in a data lake safely and securely.
Our Technology Stack
Azure
Google Cloud
AWS
U-SQL
Spark
Redis
Kafka
AirFlow
FAQ
A cloud data lake is a centralized repository hosted on the cloud that allows you to store both structured and unstructured data at any scale. Cloud data lake services are generally seen as complementary solutions to data warehouses. The major cloud providers, namely Amazon Web Services, Google, and Microsoft Azure, all offer both cloud data lake and data warehouses.
- Data ingestion
- Data quality
- Data governance
A data warehouse is an online analytics processing (OLAP) system, which aims at integrating well-defined and structured data sets. A data lake stores raw data and the only data processing that is applied to the data is usually done to convert the data to a more efficient format, conduct data profiling and data quality checks.
On-premise data lakes have high operating costs due to the manual scaling of infrastructure. Cloud data lakes allow easy data access for developers, analysts, and data experts. While early data lakes were built on HDFS clusters on-premises, organizations are moving their data lakes to the cloud as infrastructure-as-a-service offerings grow increasingly popular.
Our company’s billing rates are significantly lower than the industry norm. Check out our engagement models here. Due to our well-established location in a tier-two city in India, we can guarantee the best price.
Please reach out to us through Skype, phone, or email. One of our representatives will get in touch with you promptly to discuss your requirements. The team will discuss the project with you and provide you with free quotations and estimates. Phone: +91 8266041801, +44 203 372 4609, +1 408 454 6110 Skype: evontech Email: This email address is being protected from spambots. You need JavaScript enabled to view it.