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Big Data Consulting


Analyze Large Datasets and Boost Your Operational Efficiency with Big Data Consulting services


Business benefits

What do you need to know about big data consulting?


Big Data Implementation process
Big data
Big Data Services
Why work with us?

Big Data Consulting Services & Implementation


Big data consulting is a sophisticated service based on the process of examining vast amounts of data. Our goal is to uncover useful business-wise information and hidden correlations and connections within it. It has been designed to help organizations in making more optimal decisions, thanks to insightful analysis.

Big data strategy implementation, consulting and services helps your company to grow faster and improve the decision-making process.

Our Big Data Consulting company with the help of advanced technologies and tools like Delta Lakes, Spark, Hadoop and Cloud technologies will process your datasets, drive business insights from it, and suggest the most effective strategy of data culture implementation. We provide companies with reliable big data consulting services and a fast implementation process.


What is Big Data all about?


Big data is a set of technologies, tools and strategies that helps companies to gain competitive insights from collected data. Big data consulting services is a form of advanced data analytics based on large amounts of data originating from the market itself and your company.

Big Data tools and technologies have been designed to gather, combine, and analyze big structured and unstructured data sets. Big data tools and our consulting team will help you much quicker, more convenient, and cheaper to deal with data that flows through your company.


Addepto Big Data Consulting Services


Streaming Applications

Application streaming is a form of on-demand software distribution. We carefully choose the most important portions of an application’s code which is being applied on the end user’s computer. The code files and delivers over the network accordingly to actions performed by a particular user. Applications are run by a virtual machine on a central server which is separate from the local system.

Data Lakes

Data lake is a system of all company’s stored data. It can include structured data, semi-structured data (CSV, logs, XML, JSON), unstructured data (emails, documents, PDFs), and binary data (images, audio, video). Delta Lake acts as an additional storage layer that brings reliability to your data lakes. It uses versioned Parquet files to store data in cloud storage.

Big Data Processing

Big Data Processing is a set of techniques that enable an organization to use the full potential of its data. The process includes: Analysis using operational memory (RAM memory); NoSQL databases; Columnar database that reduces the number of reading data items during query processing; Graph databases and analytical tools; Extracting, Transformation and Loading (ETL) operations; Processing big data with interactive data querying; Predictive analytics.

Data Integration

Data integration is the combination of business and technical processes used to integrate data from various data systems and sources into meaningful and valuable information. A complete data integration solution delivers trusted data from various sources to support business users and decision makers.


Work with the best


We are a Top Big Data Consulting services Company which provide:

High quality

You don’t have to worry about the quality thanks to our expertise in big data solution implementation

Increased efficiency

We implement solutions that can save you thousands of dollars in operational costs and increase your revenues

Start in 1 week

We can assign Big Data experts to your project in as short as 1 week

Savings

Creating own Big Data and Data Engineering departments might be to huge investment

We will determine specific project approaches, Big Data consulting solutions and advanced technologies that will solve particular business problems and will fit your organization’s infrastructure and architecture. During mutual workshop we will define how best deploy Big Data consulting solutions to your organization and with what kind of solutions you want start with.

Our customers from various industries often cooperate with Addepto for many years. Together we are trying to achieve strategic goals and build innovative products and solutions based on Big Data technology & solutions. It’s all because of our commitment to stay a trusted Big Data Consulting and service partner. That means that we work as an extension of our clients’ teams staying close to their needs rather than an outsourcing agency.



Our clients



Our Big Data implementation strategy










Big data ecosystem can become one of your company’s most valuable resources


However, it won’t be able to play its role unless it is identified, gathered, managed and analyzed. To deal with this challenge you need a reliable big data analytics strategy.

Identifying current and potential data sources


It is not enough to start with already existing data, to use full potential of big data you have to identify additional data sources that can be used to collect structured & unstructured data.

After that, our team will prioritize and evaluate them during this stage.

Introducing data lakes


To reduce storage costs data is stored in so-called data or delta lakes. A data lake is a repository for storing both structured and unstructured raw and processed data files. Unlike a data warehouse, a data lake implies a flat architecture for storing the data in its source format.

It is possible to build and deploy data lakes using cloud or on-premises infrastructures using dedicated tools such as Hadoop, S3, GCS or Azure Data Lake.

Connecting data sources to your clients


After deciding on data sources and storage, we connect them to the needs of your clients.

Let’s say, if you are leading the retail chain, we can collect the data with the help of digital coupons. A customer gets a coupon for a discount and is happy to visit your place. In turn, you also get what you want.

Incorporating new data hubs


The next step is incorporating new data hubs one by one. This is a gradual process. In this way, you will have enough time to adjust your operations and understand how to use the data.

Connecting the clients’ data to your company’s processes


Every data set you gather provides your company with an opportunity to improve your services or products.

Therefore, data-driven decisions should be present at the company at all levels: product development, pricing, marketing, operations and HR etc.

Testing


Testing, measuring and learning — are crucial in the big data analytics process. When collecting another data set, we will test the related assumptions to make the right decision on how to move forward.

Big data visualization tools and techniques are important at this stage too.


Industry expertise



Your industry isn't here? That’s not a problem!


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Embedded Analytics in a Saas Application


As part of our big data consulting services, we developed an analytics system with self-service interactive dashboards and reports to analyze customers’ data and improve customer experience (customer 360). Additionally, we implemented a customized machine learning system for customer churn prediction, sales predictions, and recommendation systems which results were visualized using BI.

We created a tailor-made data integration solution for both structured data and Big Data sources, combined together in a data warehouse.



Technology companies

We are trusted by global leaders
Hear it from our clients!












Big Data Tools and Technologies


Our AI developers and architects use the best tools and technologies available on the market. We are strongly committed to open source technologies so our customers do not have to pay additional fees after implementations.


Frameworks

Data Engineering

Database


Hadoop


Hadoop – Hadoop – is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power, and the ability to handle virtually limitless concurrent tasks or jobs.
Apache Spark


Apache Spark – Apache Spark: An open-source data processing framework that excels in handling large-scale data analytics and machine learning tasks, known for its speed and efficiency.

Apache Kafka


Apache Kafka – Apache Kafka is a distributed data store designed for ingesting and processing streaming data in real-time.
Hive


Hive – Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale.

Key benefits
You can think of any field of doing business on a large scale, and we bet big data might be applied to it with ease

You can think of any field of doing business on a large scale, and we bet big data might be applied to it with ease



New business opportunities


Big data solutions open your business to new niches, new product development and new target audience.


Cheaper data storage


Take advantage of storing data in raw format and query directly files.


More effective marketing


Ability to create a more accurate marketing strategy and improve optimization.


Better customer service


Improved communication and customer churn prediction.


Improved operational efficiency


Quicker and more precise decision-making process.



Our clients


Let's discuss
a solution
for you



Edwin Lisowski

will help you estimate
your project.













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