Category: On-Demand Webinar

To address the demand for a simple way to build, manage, and monitor streaming data pipelines, Striim is introducing a series of purpose-built data pipeline solutions for popular data warehouses. We’re very pleased to introduce our first solution, Striim for BigQuery, for Google BigQuery users. Striim for BigQuery enables users to load data to BigQuery with maximum performance, simplicity, and operational ease.

We’d like to invite you to join us for a live webinar showcasing Striim for BigQuery and its capabilities including:

• How Striim for BigQuery enables you to extract and load data from various sources at high scale and low latency, while ensuring security and maintaining compliance
• A simple, no-code UX that requires minimal user intervention and eliminates complexities associated with setting up streaming data pipelines
• Intuitive monitoring and dashboards that provide transparency into the health and status of your pipelines, so you can understand what’s happening and fine-tune your data pipelines

In this period of economic uncertainty, data leaders are under increasing pressure to supply useful data to their teams so they can make quick decisions and provide exceptional customer experiences.

Data streaming and Change Data Capture can help decentralize data management and provide the necessary flexibility to meet the needs of various stakeholders.

In this live webinar, we will demonstrate how to source data from operational systems (OLTP databases, sensors, API data) and transform it into actionable Data Products, while meeting SLAs for uptime and delivery speeds. The presentation will be followed by a Q&A session. Save your spot and join us live!

All businesses rely on data. Historically, this data resided in monolithic, on-premises databases, and for many enterprises, Oracle was the database of choice. As businesses modernize they are looking to the cloud for analytics and striving for real-time data insights. While they often find their legacy databases difficult to completely replace, the data and transactions happening within them are essential for analytics.

In order to unlock the full value of their data, companies need to stream critical transactions from their Oracle databases to their cloud provider, in real time. An easy way to do this is by using Change Data Capture (CDC). But not all CDC is created equal, and not all CDC solutions can handle mission-critical workloads.

Watch our on-demand technical webinar and demo, where we provide you with an overview of Striim’s Oracle CDC capabilities. We cover topics including:

• Introduction to OJet, Striim’s new Oracle reader, that can read up to 150+ gigabytes of data per hour from Oracle (up to version-21c)
• Demo: how to set up zero-downtime migrations/replications from Oracle to Google BigQuery from initial load to on-going, real-time synch. We also demo unique capabilities of Striim’s BigQuery writer including partition pruning and a streaming API.
• An overview of Striim’s features that support high-volume, mission-critical enterprise environments

There is significant demand for zero downtime database migrations and continuous data replication as workloads shift to the cloud. Modernizing databases by offloading workloads to the cloud requires building real-time data pipelines from legacy systems.

The Striim® platform is an enterprise-grade cloud data integration solution that continuously ingests, processes, and delivers high volumes of streaming data from diverse sources, on-premises or in the cloud.

In this joint session with Striim partner Microsoft, we discuss why and how cloud and data architects/engineers use Striim to move data into Azure in a consumable form, quickly and with sub-second latency to easily run critical transactional and analytical workloads.

We also demonstrate how to use Striim to migrate or continuously replicate enterprise databases to Azure Synapse Analytics with no downtime:

• Prepare Azure data targets or data integration with table creation that reflects the source database
• Set up in-flight transformations right in the GUI to minimize end-to-end latency and enable real-time analytics & operational reporting
• Deploy zero-downtime migrations to Azure from existing enterprise databases anywhere

Data is increasingly siloed, making it harder for companies to extract the most value from their data. This is compounded by the fact that over 90% of companies plan on having hybrid cloud and or multi-cloud operations by 2022.

Watch this on-demand webinar with James Serra (Data Platform Architecture Lead at EY) where we demystify building a multi-cloud data environment for operations and real-time analytics. We cover the following topics:

• Pros and cons of multi-cloud vs doubling down on a single cloud
• Enterprise data patterns such as Data Fabric, Data Mesh, and The Modern Data Stack
• Data ingestion and data transformation in a multi-cloud/hybrid cloud environment
• Comparison of data warehouses (Snowflake, Synapse, Redshift, BigQuery) for real-time workloads