Introduction:
From data processing to streamlining your business’s operations, everything connects back to the quality of your data and how you handle it. With the implementation of modern, industry-standard data engineering, you can bring your business to the next level with tools to handle processing real-time big data efficiently to streamline your operations and become better equipped to make smarter data-driven decisions.
Why data engineering?
Data engineering allows for your company’s data value to be maximized through robust data engineering solutions. From real-time stream processing, distributed data storage, to automation of workflows, Apprian’s tools allow organizations to build efficient and scalable data pipelines to deliver insights faster and more reliably. With data-driven insights, your business will be able to make smarter decisions, streamline your business’ operations, and more.
Services
Below, are tools, that Apprian uses as part of our data engineering services to build data pipelines. Each tool allows for real-time data processing, data storing, and workflow automation.
Apache
Apache Spark
A fast in-memory big data processing service. The three key main points of service include:
1. Real-time Analytics
Allows for the processing of large in-memory datasets, which makes faster real-time insights achievable.
2. Unified Framework
Best used for batch and stream processing, machine learning, and SQL queries.
3. Scalability
Apache Spark can handle petabytes of data with ease, making it suitable for handling of bigger data workloads at increased scales.
Apache Kafka
A distributed event streaming platform. The three main points of service include:
- High-throughput Messaging
Able to build real-time data pipelines as well as streaming applications with minimal latency.
- Event-driven Architecture
Allows for the scaling and management of data with ease to ensure and enable seamless real-time analytics.
- Fault Tolerance
Ensures reliability and scalability in message delivery, which is critical for data streams.
Apache Airflow
A workflow automation and scheduling tool. The three main points of service include:
- Automated Workflows
Author, schedule, and monitor complex workflow programmatically.
- Data Pipeline Orchestration
Allows for simplification of task dependencies and data processing operations through directed acyclic graphs (DAGs).
- Custom Scheduling
Enable tailoring of workflows to your data pipeline needs, from ETL to machine learning.
Apache Hadoop
A scalable distributed data processing tool. The three key main points of service include:
- Distributed Storage
Ensures storage and processing of vast amounts of data across clusters of computers with Hadoop’s HDFS.
- Fault-tolerant Processing
Able to process data in parallel to enable speed improvements and to ensure redundancy.
- Scalability
Allows for horizontal scalability to handle growing datasets with ease, providing the backbone for big data applications.
DBT
A data building tool that allows for the transformation of data in the Cloud. The three key main points of service include:
- SQL-Based Data Modeling
Simplify your data transformation processes through a command-line tool for writing, testing, and maintaining SQL queries.
- Automated Pipelines
Streamline your data pipeline by automating testing and version control for data models.
- Cloud-Native
Allows you to build and manage transformations directly within modern data warehouses to ensure fast and reliable analytics.
Fivetran
A service for the automated integration of data. The three main points of service include:
- Seamless Data Sync
Allows for data to automatically sync from various sources into your data warehouse with minimal setup.
- Scalable ETL Pipelines
Create reliable and high-performing ETL/ELT pipelines that also scale with your business.
- Minimal Maintenance
Automated updates and connectors allow for a reduction in manual work and downtime.
Matplotlib
A Python data visualization tool. The three main points of service include:
- Comprehensive plotting
Allows for the creation of static, animated, and interactive visualization through Python’s most powerful plotting library at your fingertips.
- Customizable Charts
Customizable plots and charts for all types of data analysis according to your presentation needs.
- Efficient Insights
Leverage visualization to make well-informed data-driven decisions easily, to understand and communicate.
From building your first pipeline to optimizing your company’s existing data engineering stack, Apprian has the tools needed to provide industry-standard expertise to help you according to your needs and wants. We have solutions to help your company grow and scale in many ways from accelerating your data processing, to integrating diverse data sources, to helping you create scalable workflows. With modern industry standard tools and expertise at your disposal, we will have you drive your business forward.
Ready to unlock the full potential of Apprian’s data engineering for your business? Contact us today to learn how our data engineering services can benefit your organization and take it to the next level!
Ready to transform your data into a competitive advantage?
Contact Apprian today for a free consultation. Let us show you how our data engineering services can revolutionize your data pipeline and drive unparalleled business growth.
