Big Data Consulting Services and Solutions

Data Architecture that supports a Modernized Data Strategy

Big data technology is here to stay and you can capitalize on an effective and solid architectural blueprint that aligns your data with its business strategies. With a future-proof data architecture to bank on – easily collect, integrate, store, enhance, and deliver your data in rich and accurate formats that boost your organization’s business decision-making.

USEReady’s big data strategy solutions consider all aspects of your business – whether these are technical, functional, or general in nature. From custom software development to fit-to-purpose architectures – our big data analytics experts understand your organization, environment, market changes, people, processes, and technologies. Once analyzed, we create mechanisms that enable the key elements of data strategy (such as how data is acquired, stored, processed, distributed, and consumed) to support progressive business outcomes.

USEReady’s Big Data Implementation Framework

We have built a deep industry experience in big data service and solutions. Regardless of the size of your business, we’re fully capable of building emergent and incremental data architectures for various organizations.

Gain a competitive advantage with Wing to wing – modernized & composable architecture that allows for incremental and independent prioritization and feature releases across each constituent.

With a fit-to-purpose architecture in place, some of the key-highlights organizations can capitalize on

• Composable – Independence to select, assemble mature, replace components in various combinations
• Tools flexibility – Enables blend of cloud provider native & MSIM preferred technology
• Cloud optimized – supports extensibility, self-healing, elasticity/scalability, and adaptability
• Faster TTM & low-cost – improved cost savings, faster time to market, overall improved performance driving better business results
• Safe – Extremely secure and promotes incremental maturity

Spend less time managing your data and focus on managing your business

Capitalize on the power to stay proactive without compromising security. Armed with the ability to set guidelines around who sees exactly what information – know exactly what is happening with your data at all given points in time.

By viewing IT, all external requirements, and business objectives collectively – USEReady’s big data services are specifically intended to assist you when it comes to formulation, implementation, and optimization of data management strategy

Whether it’s our data scientist, data engineer, or data analyst – our big data experts understand the landscape in relation to your business and help align your current state and help scale, specifically designed to your maturity level.

With highly flexible options – ensure that your enterprise can successfully classify, archive, and manage all physical and electronic data securely and cost-effectively.

Get future-ready with our leading data pipeline solutions and services

For today’s data-driven enterprises, it is becoming essential to enable a smooth, automated extraction – often involving movement, and integration of data from sources to potentially multiple destinations, and many stations in between.

These stations are required to perform multiple tasks such as compliance rules, conformance, transformation, sampling, merging, redirecting etc. In addition, data pipelines must support robust data governance, security, lineage transparency, catalog, and integrated monitoring.

To gain the most value, these data pipelines often need to support a variety of data types, such as bulk, streaming, events, IoT (Internet of things), and even petabyte-scale movements.

We offer expertise on several cloud-native, marketplace, and hybrid approaches to optimally stitch below key capabilities for a future-ready data pipeline:

• Data Movement
• Data Integration
• Data Transformation and Conformance
• Meta-data/ Master-data management
• End to End Monitoring and performance enhancements
• Data Governance

Data lake analytics in today’s big data company

Many organizations are shifting to data lake architectures to store massive amounts of data in a central, but highly elastic, available, redundant and flexible store. Traditional approaches of storing/ moving data directly into a data warehouse or to HDFS offer limited agility for the same data to be categorized, processed, analyzed and consumed by diverse teams within an organization.

There is growing need to preserve the original form of data in order to support data analytics use cases that are unknown today. Data lakes provide low cost and secure options to perform new and varied types of analytics such as ad-hoc analytics, real-time streaming, predictive analytics, artificial intelligence, deep learning, and machine learning.

At USEReady, we design and build modernized data lakes, that can support one or more of the following key features. Our Data Lake designs are fit to purpose, yet extensible to future use cases.

• True source data for future use cases and references
• Several curations and published zones for many use cases
• Easy cataloging
• Flexible, endless, and low-cost storage for structured & unstructured data
• Secure – Crypto, KMS, Access and data segregation controls
• Robust data lifecycle controls for backup and archiving

Purpose-built analytical services to get ahead

Unlike traditional practices, One size does not fit all in modern and cloud based Big data analytics architectures.

For e.g., if the same data set needs to be used for batch analytics as well as real time analytics, it requires decoupled architectures to serve a respective need – such an approach provides optimized cost and performance.

The overall ecosystem fabric must bring constituents such as data lake, data pipelines, etc. together with one or more big data analytics systems listed below.

This data fabric should not only enable data analytics, but also a seamless interaction, integrated health & performance view, service management, and security.

If you are considering modernization or migration of big data processing & analytics platforms, USEReady can help select, evaluate, architect, engineer, automate & operationalize a range of platforms such as:

• Data Warehouses
• Big Data Processing systems such as Hadoop, Spark, Apache Spark, Real Time analytics for Streaming, Event or IoT Kafka

Our design seamlessly extend and integrate to interactive and advanced analytics capabilities such as Business Analytics, Data Science, Machine learning and AI.

Picking and using the right data warehouse

USEReady helps companies of every size make the right selection and design, engineer and operationalize their cloud warehouses to work for their respective use cases.

When it comes to big data analytics consulting and solutions – our wide partner ecosystem enables us to be experts on a wide array of warehouse technology ecosystems such as, but not limited to, Snowflake, Google Big Query, AWS redshift, Azure SQL Warehouse, Exasol, and many more.

We further ensure all supporting capabilities are enabled for your data-warehouses such as data movement, transformation, loading, security, storage, performance, HA and other integrations.

Quickly determine what is and isn’t working in your organizations

With the help of real-time, streaming & advanced analytics you can draw insights by combining streaming data with other data sources, delivering real-time data across disruptive environments in cloud or on-premise to adopt a modern data architecture. Enrich and analyze your master data with unstructured, ad-hoc, timeseries, click-stream, IoT data, etc.

If your use cases are diverse or they may need augmented or different analytics capabilities than data warehouses, you can count on us for architectural and technical expertise in below areas:

• Real-time, Streaming Analytics, IoT across various cloud provider native technologies at Google GCP, AWS & Azure Kinesis
• Spark
• Hadoop
• IoT

Meet market disruption with leading cloud technologies

The rise of cloud computing has disrupted traditional and capital-intensive big data approaches by making it affordable, fast and agile. USEReady specializes in leading cloud providers, such as AWS, Azure and GCP, Snowflake and others. We leverage our partner ecosystem and experience to optimize cost to value and speed to value for your big data modernizations, migrations and initiatives on cloud.

If your initiatives involve migrations and transformations into cloud that go beyond data analytics, and into areas such as applications, databases, data centers, infrastructure, dev-ops, then please explore USEReady’s cloud transformation services.