Technology

The key to successful BI is to view it as part of a comprehensive, holistic approach alongside information management, analytics, and more. By utilizing a full range of technologies, we enable data-driven decision-making and powerful business results. DataPipeline.Pro works with a full stack of technologies to design, create, and maintain powerful Business Intelligence.
1 / Power BI
Power BI is a business analytics platform from Microsoft that integrates various software products into a unified solution.

Power BI is a powerful suite of tools for business analytics, data preparation, processing, and visualization. The platform is characterized by its scalability, Self-Service BI capabilities, integration with web/mobile versions, and minimal training time for end users.

We can help you create a new set of reports using your existing data, scale or optimize your current model, and provide ongoing support for your Power BI solution.

2 / Informatica

Informatica is an enterprise-level tool for data extraction, transformation, and loading (ETL). It is utilized in the development of enterprise data warehouses, data marts, and databases.

Need to build a stable and high-performance data processing interface?

We will train your team, consult, and assist with the implementation of Informatica Power Center or Informatica Intelligent Cloud Service for your data management projects. This helps reduce time, costs, and risks associated with data consolidation and/or migration.

We leverage this ETL platform to create data warehouses and stable, high-performance platforms for managing large volumes of data with high scalability. Informatica enables data acquisition and synchronization from various sources, including on-premises databases, SaaS applications, IoT devices, and streaming applications, into a cloud data lake, providing a unified view for your business.

3 / Snowflake
Snowflake is a cloud-based platform and data warehouse. Snowflake's unique cloud architecture allows organizations of any size to make data-driven decisions that were previously impossible.

Would you like to learn more about performance and cost efficiency for your data needs?

Our specialists have successfully completed over 10 projects involving the migration of existing databases and ETL processes to Snowflake, or the construction of data warehouses from scratch.

Snowflake offers a ready-to-use analytical data repository delivered as Software-as-a-Service (SaaS). You don't need to worry about virtual or physical hardware as the software does not require installation. The Snowflake team manages system maintenance, ensuring you receive updates to the latest software version.

Snowflake's data platform is not built on any existing database technology or "big data" platforms like Hadoop. Instead, Snowflake combines a completely new SQL query engine with an innovative architecture originally designed for the cloud. Users of Snowflake benefit from all the features of a corporate analytical database, along with numerous additional specialized functions and unique capabilities.

4 / MicroStrategy
MicroStrategy Incorporated is an American company that provides a Business Intelligence (BI) platform based on a unified, object-oriented model known as a semantic layer.

The MicroStrategy business analytics platform encompasses a comprehensive suite of tools designed to utilize and visualize any data generated within your organization. From interactive dashboards, scorecards, and visual reports with charts to complex statistical and data mining analyses, the platform is fully customizable and secured with enterprise-grade security features.

Extremely user-friendly for end-users, MicroStrategy enables the generation of highly sophisticated reports within minutes.

5 / Alteryx

Alteryx is a platform for data preparation, integration, and analysis.

The platform is designed to make advanced analytics accessible to any employee working with data.

One of its core products is Alteryx Designer, which enables users to quickly prepare, blend, match, and analyze data from virtually any source, including PDF files and images. This is achieved through a visual designer workflow that is intuitive and does not require programming skills.

With advanced machine learning capabilities, your data workers can rapidly create predictive models without writing code or performing complex statistics. Whether it's guided, step-by-step, or fully automated workflows, the platform helps you create trained algorithms ready for deployment.

6 / Oracle Database and Data Integrator

Oracle Database and Data Integrator is a database management system (DBMS) and ETL (Extract, Transform, Load) tool provided by Oracle.

Oracle Database offers market-leading performance, scalability, reliability, and security for both on-premises and cloud deployments.

Oracle Data Integrator (ODI) is an Extract, Transform, Load (ETL) tool that provides a graphical environment for building, managing, and supporting data integration processes in business analytics systems.

7 / Azure

Azure is Microsoft's cloud platform offering services as both Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS). It provides capabilities for developing, deploying, and storing applications and data on Microsoft servers.

For our data solutions, we utilize the following products:

  • SQL DB: for building data warehouses and data marts.
  • Storage account: for constructing data lakes.
  • Azure Data Factory: for data ingestion, processing, and loading (ETL).
  • Power Automate: an online service for workflow automation across popular applications and services.

If you're interested in learning more about which set of services would best suit your needs, please feel free to contact us.

8 / Databricks

Databricks is a unified analytics platform that simplifies big data and machine learning workflows with collaborative features and scalable infrastructure.

It integrates Apache Spark for data processing with collaborative notebooks, allowing teams to explore, analyze, and visualize data interactively. Databricks facilitates scalable data engineering, data science, and AI model development, enabling organizations to derive actionable insights and accelerate innovation.

9 / Looker

Looker is a data exploration and business intelligence platform that empowers organizations to analyze and visualize their data with unified insights.

It offers interactive dashboards, reports, and data visualizations that empower users to explore insights intuitively. Looker's unique modeling layer allows for flexible data modeling and transformation, enhancing data accuracy and usability. It supports SQL querying and integrates seamlessly with various data warehouses and cloud platforms, facilitating advanced analytics and predictive modeling.

Looker is ideal for teams seeking to leverage data-driven decision-making and optimize business operations through collaborative data exploration and visualization.

10 / Apache NiFi

Apache NiFi is a data integration and processing platform from the Apache Software Foundation that automates the flow of data between systems with real-time, configurable workflows.

Apache NiFi simplifies data integration by providing an intuitive interface for designing and managing data flows in real-time. It supports tasks like data ingestion, routing, and transformation across different systems, making it valuable for handling complex data workflows, ensuring data quality, and enabling timely data processing and analytics.

Organizations benefit from NiFi's capability to automate data movement, improve operational efficiency, and maintain robust data governance practices.

11 / Apache Superset

Apache Superset is an open-source data exploration and visualization platform for modern analytics and business intelligence.

Apache Superset enables users to visualize data, build interactive dashboards, and perform ad-hoc analysis effortlessly. It supports multiple data sources, making it user-friendly for creating and sharing visualizations, catering to business users and data analysts.

12 / Pentaho

Pentaho is an integrated business intelligence and data integration platform that enables organizations to extract, transform, load (ETL) data and perform analytics for informed decision-making.

Pentaho provides robust capabilities for data integration, ETL, data warehousing, and business analytics. It supports various data sources and formats, allowing organizations to streamline data workflows, cleanse data for accuracy, and generate actionable insights through intuitive reporting and dashboarding functionalities.

Pentaho's flexibility and scalability make it valuable for optimizing business processes, improving operational efficiency, and facilitating data-driven decision-making across enterprises.

13 / Python

Python is a versatile programming language that integrates simplicity with powerful libraries for web development, data analysis, artificial intelligence, and more.

It's widely used for web development, data analysis, artificial intelligence, machine learning, and automation. With a rich set of libraries and frameworks, Python enables developers to build applications quickly and efficiently, and its large community provides ample resources and support.

14 / Javascript

JavaScript is a dynamic programming language that integrates seamlessly with HTML and CSS to create interactive and responsive web applications.

It integrates seamlessly with HTML and CSS to enhance user interfaces and improve user experiences. JavaScript is supported by all modern web browsers and allows developers to build complex functionalities, such as real-time updates, animations, and form validations. Additionally, with frameworks like React, Angular, and Vue, JavaScript extends its capabilities to single-page applications, mobile app development, and server-side scripting with Node.js.