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Data Engineering Services
We offer comprehensive client support in data engineering services, assisting from raw data to actionable insights through the use of Data Lakes, Delta Tables, Streaming applications, Data Warehouses, and DataOps methodologies.
Databricks is a cloud-native platform specializing in big data processing and analysis using Apache Spark. It fosters collaboration among data scientists, engineers, and business analysts by offering an interactive workspace. Key features include distributed computing, machine learning capabilities, and seamless integration with popular big data tools. Databricks is accessible through cloud deployment and also offers a free Community Edition, providing a workspace tailored for individual learners and small teams to explore and prototype with Apache Spark. The Community Edition includes limited compute resources and a subset of the full platform’s features, alongside access to community content and resources.
Cloudera provides a hybrid data platform that prioritizes secure data management and facilitates portable cloud-native data analytics.
Data Cloud is a scalable cloud platform designed for data management and analytics, delivering real-time insights and enabling secure data sharing.
The Data Build Tool, is an open-source command-line utility created to streamline data transformation tasks for analysts and engineers working with data warehouses.
Airbyte is an open-source data integration platform that simplifies the aggregation of data from multiple data warehouses, data lakes, and databases, offering flexibility and ease of use.
Modern Data Pipelines
At 5bix, our dedicated data engineering consulting team is highly proficient in designing, constructing, and implementing comprehensive, end-to-end automated data pipelines of exceptional production quality. With deep expertise across on-premises and cloud environments, we ensure robust and reliable solutions tailored to meet your specific needs.
Data Lake Implementation
Data Lakes represent a potent and innovative solution for efficient data storage and rapid processing at a lower cost. Integrating Data Lakes into your company can enhance your business data architecture significantly. Addepto has successfully leveraged Data Lake solutions to address diverse client business needs, including Product Traceability, Customer Data Platforms, IoT data reporting, and more.
Data Preparation and ETL/ELT
Data preparation, processing, and ETL/ELT operations are integral in transforming and loading data into the appropriate data models crucial for business reporting and advanced analytics. At 5bix, our Data Engineering team has successfully implemented these pipelines across diverse business functions including Finance, Sales, Supply Chain, and beyond.
Cloud Data Architecture
Today, it is essential to build and design flexible and highly accessible business data architectures. Our Data Architects can help your business get to the next level in terms of data analytics foundation by combining experience from several large enterprises. Try our Big Data Engineering Services!
Data Engineering FAQ
Data engineering involves creating and maintaining systems for collecting, transforming, and storing data, ensuring it's ready for analysis and decision-making.
Key skills include proficiency in programming languages like Python and SQL, understanding of databases and data warehousing concepts, familiarity with ETL (Extract, Transform, Load) processes, and knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Data pipelines automate the process of extracting data from various sources, transforming it into a usable format, and loading it into a storage or analytics destination.
ETL (Extract, Transform, Load) involves extracting data from source systems, transforming it to meet business needs, and loading it into a data warehouse. ELT (Extract, Load, Transform) lo
Data lakes store large volumes of raw, unstructured data from diverse sources for future analysis. Data warehouses store structured and processed data optimized for querying and business intelligence purposes.
Python and SQL are widely used for data manipulation, scripting, and querying. Other languages like Java, Scala, and R are also used depending on specific needs.
Cloud platforms provide scalable storage and computing resources necessary for managing large datasets, executing complex data processing tasks, and facilitating collaboration across teams.
Begin by learning programming languages and database fundamentals. Gain hands-on experience with data manipulation and ETL processes. Familiarize yourself with data warehousing tools and consider pursuing certifications in cloud platforms and data engineering technologies.
We start by understanding your needs, conduct a feasibility study, develop a Proof of Concept (PoC), integrate and test the solution, and provide ongoing support.
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Email Address
sales_support@5bix.com
+91 9056633222
Address
C 201-202, Phase 8B, Sector 74, SAS Nagar, Punjab, India