IBM Cloud SQL Query Integrations

IBM Cloud Object Storage makes it possible to store practically limitless amounts of data, simply and cost effectively. It is commonly used as storage for web sites and mobile applications, data archiving and backup, enterprise file services, and analytics. Flexible storage class tiers with a policy-based archive lets users effectively manage costs while meeting data access needs. The integrated Aspera high-speed data transfer option makes it easy to transfer data to and from Cloud Object Storage, and query-in-place functionality supports running analytics directly on users' data.

Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.

Our one-time, no-code integrations work with 200+ of the world’s biggest platforms. From HR and payroll to managing customers and vendors, you can connect everyone with everything without lifting a finger. We made our interface so intuitive that it looks like you are doing the automation within QuickBooks itself. Seamlessly integrate QuickBooks and your accounting systems, eliminating data entry and boosting your team's productivity. Make accounting effortless for your franchise business. Stay ahead of your competition and make your customers stay longer with a white-labeled accounting automation app. Connect your enterprise's most complex systems in one easy workflow and automate all the busy work in between. Seamlessly integrate QuickBooks and your accounting systems, eliminating data entry and boosting your team's productivity. Your accountants can do what they love doing and work on more meaningful tasks that have a more significant impact.

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

As a business leader, you need to trust your data and be 100% certain that it’s well-governed, compliant, and accurate. Including all data, in all sources, and in all locations, without limitations. Understand your data assets. Audit for risk, compliance, and quality in support of your project. Catalog a complete data inventory across all sources and data types, creating a shared understanding of your data assets. Run a one-time, fast, affordable, and accurate audit of your data. PCI, PII, and PHI audits are fast, accurate, and complete. As a service, with no software to purchase. Measure and audit data quality and data duplication across all of your enterprise data assets, cloud-native and on-premises. Comply with global data privacy regulations at scale. Discover, classify, track, trace and audit privacy compliance. Monitor PII/PCI/PHI data propagation and automate DSAR compliance processes.