Data lake

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Our Approach to
Data Lake Consulting Services

We give you a road map to create a framework for your data

We give you a road map to create a framework for your data

We integrate existing data sets and tools into advanced techniques

We integrate existing data sets and tools into advanced techniques

We facilitate a smooth adoption of data lake in your organization

We facilitate a smooth adoption of data lake in your organization

We provide enterprise-grade authentication for data security

We provide enterprise-grade authentication for data security

We provide BI solutions for real-time monitoring of workflows

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 Solutions

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 Services

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 Solutions

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

Skyrocketing an enterprise data Data Lake Implementation 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.

Business professional providing big data consulting
Boost business performance with Data and Analytics Strategy Development

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.

Representing End-to-end Data Lake Implementation Solutions
Azure data lake Maintenance and Support services

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

Build a Modern Data Architecture
Build a Modern Data Architecture

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.

Scale Data Practices to Scale AI
Scale Data Practices to Scale AI

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.

Faster Insights
Faster Insights

Proficient in universal data management, whether structured, multi-structured, or unstructured. Along with data lake knowledge discovery and generating faster usable insights.

Streaming Data Pipeline
Streaming Data Pipeline

Expertise in integrating multiple datasets and sources for developing streaming data pipelines for real-time business progress.

On-premise and On-cloud
On-premise and On-cloud

Designing and implementing cloud data lake services and storage solutions on major platforms like MapR, Hadoop, Azure, Pentaho, Talend, and MongoDB cost-efficiently.

Proprietary IP
Proprietary IP

Artificial Intelligence/Machine Learning proprietary products for conducting advanced analytics on massive data stored in a data lake safely and securely.

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Our Technology Stack

Azure Technology Stack
Azure
Google Cloud Technology Stack
Google Cloud
AWS Technology Stack
AWS
U-SQL Technology Stack
U-SQL
Sparx Technology Stack
Spark
Redis Technology Stack
Redis
Kafka Technology Stack
Kafka
Airflow Technology Stack
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.

The migration of data and infrastructure to the cloud simplifies operational costs for businesses. However, that doesn’t mean that it’s a perfect solution, and comes with a lot of challenges:
  • 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.

Our Clients

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Shofur client portfolio
Agiliron client portfolio
Beme client portfolio
Block by Block Capiutal client portfolio
Cloudsufi client portfolio
UK government client portfolio
Fractal client portfolio
UK government client portfolio
Mursion client portfolio
Oncehub client portfolio
Walkme client portfolio
Shofur client portfolio
Agiliron client portfolio
Beme client portfolio
Block by Block Capiutal client portfolio
Cloudsufi client portfolio
UK government client portfolio
Fractal client portfolio
UK government client portfolio
Mursion client portfolio
Oncehub client portfolio
Walkme client portfolio
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