MODERN DATA ENGINEERING TO UNLEASH THE POWER OF ANALYTICS

We facilitate modern data engineering by integrating multiple data sources, creating hybrid data lakes and warehouses, providing fully-functional pipelines for data-driven innovation and cloud services.

Overview

At Boolean data, we believe that data engineering is the enabler for data science. Addressing the modern business challenges of today entails the strong backbone of Data Engineering. They can only be developed when there is a solid data infrastructure, which is achievable through modern data engineering processes.

Our Data Engineering and Transformation services enable businesses to maximize their data’s potential. We partner with our clients to comprehend their specified needs and devise a solution that benefits their needs. Our experts leverage data tools and resources to extract and transform data into actionable insights. 

Don’t allow your data to limit you. Let us work with you in transforming your data into reliable insight. To find out more about our Data Engineering and Data transformation services. 

Why Boolean Data

Reduce
Costs

We can help you build flexible framework and take advantage of data to reduce operational costs, find new revenue sources, and develop new products.

Prevent Data
Loss

With our proven processes, we ensure all data, internal or external, is moved from identification to storage without sacrificing granularity.

Accelerate Performance

Our experts provide high-performance data processing which means low latency, high volumes and the ability to do so in real time.

Experts In 
Industry

Our team of experienced and qualified Data Engineers will set up a high-performance data infrastructure so you can make better decisions and achieve your business goals.

How will our Services Benefit you?
  • We will work collaboratively with your subject matter experts to choose the right services and accelerators.
  • Our Data Transformation and Data Engineering services are geared towards your particular use cases while ensuring quality and governance.

Data Engineering Services

Extraction and
parsing

In the modern ELT process, data ingestion begins with extracting information from a data source, followed by copying the data to its destination. Initial transformations are focused on shaping the format and structure of data to ensure its compatibility with system.

Translation
and mapping

Some of the most basic data transformations involve the mapping and translation of data. Translation converts data from formats used in one system to formats appropriate for a different system.

Filtering, aggregation, and summarization

Data transformation is often concerned with whittling data down and making it more manageable. Data may be consolidated by filtering out unnecessary fields, columns, and records. Data might also be aggregated or summarized.

Enrichment and
imputation

Data from different sources can be merged to create denormalized, enriched information. Long fields may be split into multiple columns, and missing values can be imputed or corrupted data replaced as a result of these transformations.

Indexing and
ordering

Data can be transformed so that it’s ordered logically or to suit a data storage scheme. In relational database management systems, for example, creating indexes can improve performance or improve the management of relationships between different tables.

Modeling, typecasting, formatting, and renaming

Finally, a set of transformations can be applied to data without changing its content. This includes casting and converting data types for compatibility, format localization, and renaming schemas, tables, and columns for clarity.

Data Engineering Services

We believe that data engineering is the enabler for data science. Addressing the modern business challenges of today entails the strong backbone of Data Engineering.

They can only be developed when there is a solid data infrastructure, which is achievable through modern data engineering processes. 

Our Data Engineering Journey

Databases And
Middleware
Services

Our Oracle Applications, Database, and Middleware Services combine functional, development, and technical expertise to help you deliver applications as a service and reduce the costs of database management.

Security & Compliance

Our data security experts work with businesses to enforce the security baselines, and carryout frequent audits to compliance the data infrastructure to various regulations.

Data Migration Services

We take care of all the data migration activities across different database technologies, which can be from on-premises to cloud and across the multiple cloud platforms.

Data
Governance

We design and execute a sustainable data governance strategy to break down data silos and turn data into actionable insights that support your goals.

Data Transformation Services

At Boolean Data Systems, by placing user needs at the epicenter of our data
transformation efforts, we are able to deliver an impactful, delightful, efficient, and result-oriented experience.
 

Businesses have to transform high volumes of data for many reasons, such as migrating data, consolidating records, etc. To be able to manipulate data in the most effective way, a data transformation tool with a broad array of transformation options is necessary. 

Our Data Transformation Journey

Data
Science

Extract knowledge and insights from noisy, structured, semi-structured, and unstructured data, and apply actionable insights from data across a broad range of application domains.

NLP

By combining our strong machine learning skills with our expertise in entity extraction, sentiment analysis, and topic modeling, we are able to develop NLP applications that improve process efficiency, customer experience, and retention.

 

Computervision & Audioanalysis

Leverage signal processing and deep learning to capture deeper insights into your image, audio, or video data​. Face detection/authentication, emotion analysis, text extraction, image captioning…these leading use cases that fall right within our expertise

Cloud AI
Services

Streamline and accelerate the ML model development and deployment process by using both real-time and batch data processing. AI/ML use cases and various cloud-based machine learning techniques such as AutoML, Hyperparameter Optimization, and Bot Services.

Partnerships

We partner with leaders in Data Engineering to deliver the infrastructure that your team needs. We work with AWS, Azure, Google Cloud on the cloud side along with technologies like Databricks, Snowflake, BigQuery, Spark, Hive, Hadoop and other data engineering platforms to build solutions that meet your requirements.

People

We have over 80 certified data engineering experts and over 200 certified cloud experts across our delivery centers in the United States, Canada, Mexico and India. Boolean boasts a large team of experts that are available to build your solutions.

Our Clients Speaks

– CTO & Chief Data Officer

Within a year of our launch, we added more than 20 data sources for our micro lending platforms. These included complex data from core banking systems, mobile and geo data from our partners and a variety of confidential data from different sources. Data engineering is a critical component to process data from all these sources for our data analytics to run and provide scoring for our customers. Boolean’s team did amazing job in putting together a solution that was scalable and robust. Thank you team !!

About Boolean Data
Systems

Boolean Data Systems is a Snowflake Select Services partner that implements solutions on cloud platforms. we help enterprises make better business decisions with data and solve real-world business analytics and data problems.

Global
Head Quarters

1255 Peachtree Parkway, Suite #4204, Alpharetta, GA 30041, USA.
Ph. : +1 678-261-8899
Fax : (470) 560-3866