Big data services

Big data
services

Be prepared to handle data’s exploding volume, velocity, and veracity. Our big data services help companies use their information assets to build a competitive advantage

$193.14bln

Big data and analytics market’s current worth

72%

Manufacturers use big data to improve productivity

45%

Businesses use the cloud to handle their big data workloads

How we work

We combine the industry’s best standards with unprecedented service delivery personalization practices.

Step 1

Write to us or book a meeting

We will respond within two hours and arrange a meeting with you at your earliest convenience.

1 working day
Step 2

Meet with our representative

An expert matching your market niche and industry will get in touch to discuss your requests and determine the next steps.

up to 7 working days
Step 3

Receive an offer

You will get a service suite offering, including time and cost estimates, for each of your project’s stages.

7+ working days
Step 4

Sign the contract

We start delivering the results while keeping you updated on the progress.

What we do

Avenga offers a wide range of big data services. We engineer, test, deploy, integrate and enhance advanced big data solutions.

Data streaming

Companies need sophisticated analytical tools to make the most out of streaming information. Since such data comes in different shapes and structures (and from different sources), customized feature-rich systems are often needed to mine it efficiently. Avenga has lots of experience building various big data platforms, inducing the systems for incremental, sequential, record-by-record, or sliding window data processing. We help businesses promptly set up and fine-tune their data streaming platforms.

Data lakes, lakehouses, and meshes

Tools like data lakes and data lakehouses are often important to the success of the broader data strategy. Data lakes, used by a lot of organizations, are perfect for storing all kinds of raw data. They’re known for simplifying data cleansing, analysis, and overall management. Data lakehouses, however, provide some organized and quality data features on top of flexibility and scalability. Avenga equips organizations to leverage data lakes and lakehouses in order to run critical operational data workloads while exploring advanced analytical and Machine Learning use cases. Additionally, we’re experienced in applying the popular data mesh architectural approach, which can significantly increase data accessibility.

Cloud IoT

Collecting, sharing, and analyzing data from IoT sensors and connected infrastructures is challenging. But when done right, it can help businesses elevate almost every aspect of their operations. With Avenga’s big data services, firms can utilize cloud, IoT, and sophisticated data analytics technologies to unlock new growth opportunities. We develop robust cloud analytics solutions that facilitate the fast extraction of actionable insights from IoT datasets. Apart from that, we set up reliable and cohesive IoT infrastructures and integrate apps with real-time analytics from connected devices.

Hadoop/Spark ecosystems

Avenga’s big data specialists are well-versed in Hadoop, Spark, and the entire Hadoop ecosystem. We analyze companies’ data requirements and implement the architectures offering data preparation, processing, analysis, and management capabilities that meet their needs. We also build various big data optimization tools that help enhance data ecosystems and frameworks. Our big data services include architecture design, engineering, implementation, and diagnostics. Additionally, we support our clients with ongoing Hadoop and Spark initiatives, helping them to strengthen data security, carry out data migrations, and safely execute infrastructure reconfigurations.

Cloud SQL/distributed storage

Leverage scalable cloud solutions to increase the availability of information infrastructure management, as well as simplify it. Avenga’s big data specialists are well-versed in the most popular modern cloud data platforms, such as Snowflake and BigQuery. We provide implementation, support, testing, migration, and customization services for clients looking to adopt, enhance, or move information to a modern data warehouse. We also set up and configure efficient distributed storages, which drastically improve our clients’ I/O performance and boost data availability and reliability. With our support, organizations collect and analyze more data at a lower cost.

Text search

Boost operational efficiency with advanced text search solutions. Avenga develops tools that deliver accurate results even when processing vast volumes of data. They also offer categorization based on specific values and relevancy ranking capabilities. On top of that, our experts often add rich Natural Language Processing capabilities to our clients’ search systems, thus making them more intuitive. In addition, we carry out seamless app migrations from relational databases to full-text systems and, in some cases, index existing databases to make them searchable.

Choosing Avenga entails

1

Certified experts

Certified business and tech development experts who ensure a business-focused approach.

2

Quick implementation

Velocity doubled by quality is what our Agile approach boils down to.

3

Technology Agnostic

A tech stack wide and expansive enough to erase the limits of flexibility during each and every project.

4

Flexibility

We can integrate your product with any required platform so that it moves your business forward.

5

Compliance

Regardless of the industry, we build software that does not react to, but prevents cyber security and legal issues.

6

Adaptability

Avenga builds products with codes, adapting to the client’s requirements, not vice versa.

Our Services

Our strategic services are meant for those looking to reinvent their approach toward making technology benefit their business.

Avenga specializes in bringing incredible business ideas to life with the help of custom solution engineering services.

Andrii Stashko-Ziablietsov

Focus on your core business while Avenga takes comprehensive care of your system.

Delivered on the client’s terms and conditions, we provide staffing services that make a difference.

Industries

Avenga is a global technology partner for pharma and life sciences companies looking to gain or retain a competitive advantage by redefining the meaning of high-quality products and services.

Explore pharma & life Sciences

78%

Global pharma companies chasing digital transformation

$2.55bln

Expected life sciences software market growth by 2025

We harness technology in the insurance industry with a strategic perspective to ensure a long-term value for our clients.

Explore insurance

60%

Insurance back-office operations can be automated

50%

Next-generation customers require an omnichannel in-app experience

Digital solutions serving financial, banking, insurance, wealth management, and fintech institutions must meet the fast-changing industry’s needs by offering their clients velocity, security, adaptability, and innovativeness.

Explore financial services

58%

Enterprises using cloud financial solutions

$40.67bln

Predicted banking software market by 2029

Amid the automotive industry’s vibrant transformation into a technology-driven set of markets, Avenga offers its clients unconditional support in their digital endeavors.

Explore automotive

$620bln

Predicted OEMs’ software-based revenue by 2031

8.1%

Forecasted CAGR for vehicle embedded software by 2026

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Something’s unclear?

Frequently Asked Questions

Most organizations are still sitting on vast datasets without putting them to good use. Avenga's experts cleanse, organize and structure those information assets so companies can extract actionable insights.

As an experienced big data services company, we've built all types of solutions for various analytical needs. The tools we use the most frequently on our big data projects are Spark and Hadoop, as they allow fast, cost-effective, and flexible data storage and processing.

Generally, big data solutions are deployed in three steps. At first, data is collected from various sources and then it is stored in a database (HBase, HDFS, etc.) Finally, a Spark or Hadoop infrastructure is applied for efficient data processing.

Our big data service experts work with both of these distributed file storage systems as they are quite popular and have advantages in terms of analytics. However, HDFS was specifically created for big data storage and processing, so it is far more resilient.

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