Data Engineering

Streamline Your Database Migration with Proven Best Practices

Future-Proof Your Data Warehouse with BigQuery
Modernize your data warehouse to unlock actionable insights and meet the growing demands of data analytics. Traditional data warehouse solutions often fall short in handling large data volumes and supporting advanced real-time analytics. With Google BigQuery, you get a serverless, highly scalable, and cost-effective solution that delivers predictive insights with exceptional speed.
› Accelerate Your Modernization Journey
Partner with Transcloud to seamlessly migrate your legacy data warehouse to BigQuery.

• Leverage our proven data warehouse migration framework and expertise in Google Cloud Platform (GCP) to fast-track your journey.
• Future-proof your analytics investment while reducing migration risks and ensuring a smooth transition.
• Modernize your data management strategy for better scalability and performance.

Transform Your Data Ecosystem with Modernized Data Lakes
Enhance the efficiency, scalability, and usability of your data lakes to unlock their full potential in your organization’s data ecosystem. A modernized data lake acts as a centralized repository, enabling secure, cost-effective storage, ingestion, transformation, and analysis of diverse datasets. It complements data warehouses, coexisting to leverage the strengths of both solutions.

• › Migrate Apache Spark and Hadoop-Based Data Lakes to Google Cloud
• Fully Managed Services: Seamlessly provision, auto-scale, and govern purpose-built data and analytics clusters using services like Apache Spark on Google Cloud.
• Integrated Data Science and Analytics: Utilize tools such as BigQuery, AI Platform Notebooks, GPUs, and other accelerators to streamline analytics development and deployment.
• Cost Optimization: Reduce costs with Google Cloud’s auto-scaling capabilities, which decouple storage from compute. Enjoy faster query speeds and cost efficiency compared to traditional on-premises Hadoop setups through automated cluster deletion and custom machine configurations.
• › Empower Actionable Insights with Google Cloud

Transcloud’s expertise in data lake modernization ensures a seamless transition to Google Cloud, empowering organizations to:

• Modernize their data lakes for enhanced analytics performance.
• Achieve substantial cost savings and efficiency improvements.
• Leverage Google Cloud’s tools for strategic data-driven decision-making.

Real-Time Data Processing and Analysis
Streaming analytics enables the continuous processing and analysis of data records in real-time or near-real-time, offering powerful insights on the fly. Unlike traditional batch processing, streaming analytics is crucial for handling data from sources that generate constant streams, such as telemetry from connected devices, web application log files, e-commerce transactions, social network data, and geospatial information. It is ideal for real-time aggregation, correlation, filtering, and sampling.
Transcloud specializes in streamlining real-time data processing on Google Cloud Platform (GCP) for businesses across various industries. Our services help organizations leverage Google Cloud’s advanced data analytics ecosystem to optimize data ingestion, build modern data warehouses, and orchestrate powerful analytics platforms.
Core Services for Streaming Analytics on Google Cloud:

• › Efficient Data Ingestion

Transcloud facilitates seamless data ingestion from multiple sources, ensuring that the system is scalable and can handle massive data volumes with reliability. Using event-driven mechanisms, we guarantee high-performance data ingestion suited for real-time analytics.

• › Real-Time Data Processing

Our solution leverages Cloud Dataflow for processing real-time streaming data, offering a unified programming model that simplifies workload management compared to traditional methods. We also utilize Apache Beam, an open-source framework for building flexible, multi-language data pipelines that handle streaming and batch processing seamlessly.

• › ETL Workflows

Using Cloud Data Fusion, we enable data engineers to create, test, and deploy ETL pipelines for streamlined data integration. This helps in building scalable enterprise data solutions while enhancing operational efficiency.

• Workflow Orchestration

Transcloud offers comprehensive end-to-end orchestration of data pipelines with Cloud Composer, which is powered by Apache Airflow. This fully-managed service allows for the visual creation of workflows, ensuring seamless integration with GCP’s data and analytics services, improving overall productivity.
Transform Your Data Processing Strategy
Transcloud helps organizations unlock the full potential of Google Cloud for data analytics and streamlined data processing workflows. Whether you’re migrating your data pipelines to the cloud or embarking on new analytics projects, our team of experts will support you in modernizing your data processing, accelerating analytics development, and reducing costs compared to traditional legacy systems.