In the era of data-driven decisions, businesses face challenges like data fragmentation, delayed reporting, data silos, and scalability issues. ABCloudz's AWS BI services tackle these issues by centralizing data, offering real-time reporting, breaking down silos, and ensuring seamless scalability, turning your frustrations into advantages.

With ABCloudz, you're not just managing data; you're unlocking the power of data to propel your business forward. ABCloudz specializes in delivering Business Intelligence solutions on AWS, including Amazon Redshift, QuickSight, Glue, Kinesis, Athena, EMR, and more. Our expertise extends to implementing Lakehouse architecture and migrating existing solutions from various vendors, such as Oracle, MS, Teradata, Greenplum, Netezza, Vertica, and more.

Our BI services make full use of AWS infrastructure, covering data warehousing with Amazon Redshift, data lakes on Amazon S3 using AWS Lake Formation, data ingestion through AWS Glue, Kinesis, DMS, Appflow, DataSync, and more including third-party services, and visual data preparation with AWS Glue DataBrew. We enable operational analytics with Amazon OpenSearch Service and provide a managed BI service with Amazon QuickSight. Our services also support third-party data integration through AWS Data Exchange and Big Data processing with Amazon Athena and EMR.

We cater to a wide range of data sources and databases, both on cloud and on-prem, including relational transactional sources like Oracle, SQL Server, PostgreSQL, and more. Additionally, we support special-purpose OLAP databases and various file formats staged on S3. We are also well-equipped to handle NoSQL databases like Mongo/DocumentDB/CouchDB/Apache Cassandra and more.

Leveraging AWS services, our BI solutions incorporate AI capabilities to optimize data processing, enhance analytics, and uncover deeper insights. This integration of AI into AWS services contributes to more efficient data warehousing, streamlined data lakes with AWS Lake Formation, and improved data ingestion through advanced tools like AWS Glue, Kinesis, and DMS. The utilization of AI extends to visual data preparation with AWS Glue DataBrew, enabling smarter, more automated analytics. With ABCloudz, the synergy of BI and AI on AWS propels businesses forward by unlocking the full potential of their data and fostering a more intelligent approach to decision-making.

Why ABCloudz?

Our solutions architects harness a range of Amazon Web Services to craft and implement your business intelligence and advanced analytics strategy, ensuring efficiency, scalability, and insightful data-driven decision-making.

Key technologies at our disposal include:

• Amazon Redshift (Data Warehouse Solutions): Migrate your Enterprise Data Warehouse to the scalable Amazon Redshift for secure analytics, real-time insights, and advanced business intelligence without complex data movement.

• Amazon QuickSight (Business Intelligence): QuickSight offers cloud-hosted BI for interactive visualizations, large dataset analysis, and rapid delivery of business insights. We enhance analytics with machine learning features.

• Amazon EMR (Elastic MapReduce): Efficiently run and scale Big Data frameworks in the Amazon cloud with EMR, supporting Apache Hadoop, Spark, HBase, Presto, Hive, and more.

• AWS Glue (Serverless ETL): Utilize AWS Glue for seamless data integration, supporting real-time and batch processes, and enabling AI applications with PyTorch and Tensorflow.

• AWS Lake Formation (Data Lake Governance): Tool for easier centrally management and governance data lakes, secure share data for analytics and machine learning internally across organization and externally.

• Amazon OpenSearch Service (Real-Time Search): Real-time search, monitoring, and analysis of business and operational data operational analytics, metadata indexing and search for data lake.

• Amazon Managed Service for Apache Flink (Streaming Analytics): Managed service to interactively query and analyse data in real time and continuously produce insights for time-sensitive use cases.

• Amazon Athena (Serverless Query Service): Leverage Athena for interactive server-less queries on data stored in Amazon S3, extracting valuable insights without server management.

• Amazon SageMaker (Machine Learning Services): Cover the entire machine learning lifecycle with SageMaker, building end-to-end AI-powered data operation workflows and integrating with BI solutions.

• Amazon Data Pipeline (Data Processing and Transfer): Configure Amazon Data Pipeline for efficient data processing and transfer the results to various AWS services.

• Amazon Kinesis (Real-Time Data Analysis): Enable real-time data collection, processing, and analysis with Amazon Kinesis, designing efficient BI and analytics strategies tailored to your needs.