OverviewStriim is a next generation Cloud Data Integration product that offers change data capture (CDC) enabling continuous replication from popular databasessuch as Oracle, SQLServer, PostgreSQL and many others.In addition to CDC connectors, Striim has hundreds of automated adapters for file-based data (logs, xml, csv), IoT data (OPCUA, MQTT), and applications such as Salesforce and SAP. Our SQL-based stream processing engine makes it easy toenrich and normalize data before it’s written to targets like BigQuery and Snowflake.Traditionally Data warehouses that required data to be transferred use batch processing but with Striim’s streaming platform data can be replicated in real-time efficiently.Securing the in-flight data is very important in any real world application. A jump host creates an encrypted public connection into a secure environment.In this tutorial, we’ll walk you through how to create a secure SSH tunnel between Striim cloud and your on-premise/cloud databases with an
OverviewTransportation services like Uber and Lyft require streaming data with real-time processing for actionable insights on a minute-by-minute basis. While batch data can provide powerful insight on medium or long-term trends, in this age live data analytics is an essential component of enterprise decision making. It is said data loses its importance within 30 minutes of generation. To facilitate better performance for companies that hugely depend on live data, Striim offers continuous data ingestion from multiple data sources in real-time. With Striim’s powerful log-based Change Data Capture platform, database transactions can be captured and processed in real-time along with data migration to multiple clouds. This technology can be used by all e-commerce, food-delivery platforms, transportation services, and many others that harnesses real-time analytics to generate value. In this post, we have shown how real-time cab booking data can be streamed to Striim’s platform and processed
A discussion with Abhi Sivasailam – a Growth & Analytics leader (Flexport, Hustle, Keap, Honeybook) – on "The Modern Data Team" shortly before his talk at dbt Labs' Coalesce conference in New Orleans. Abhi dives into real world data leadership and engineering management topics such as applying Domain-driven design on data teams, producer-defined models (plus why he thinks they're better than consumer-led), and adhering to SLAs across the business. Abhi also provides a future-facing view of the data industry: eliminating arbitrary uniqueness in analytics engineering. Can we all align on common data models? Is this what 'modern data teams' will look like? Tune in to learn more!About Abhi Sivasailam:Abhi Sivasailam is a Growth & Analytics leader who previously led those functions at Flexport, Hustle, Keap, and Honeybook. He currently invests in and advises companies on their data strategies and coaches operators. Follow Abhi on Twitter for more insights.
Are there any examples of using Striim’s KafkaWriter to stream data to a topic in Confluent Cloud?
I have a JSON Field in my PostgreSQL database with this format I want to take all the fields in this flat JSON structure and turn each of them into fields in a typed stream. How would I go about doing that? I tried using the ‘makeJSON’ function on the JSON string column but I’m unable to run JSONNode function on it. Running the above query results in a ‘CRASH, cannot map’ exception.
Striim is crossing the pond this year for Big Data London!Join the networking reception at Big Data London that focuses on creating a complete customer 360 view. Chat with the industry’s leading voices about the need for data stack operationalization and unification; the democratization of data, and the importance of making your data lakehouse your single source of truth for your reliable data. Connect with your data peers Enjoy food, drinks and a nice reprieve from the conference floor Mingle with industry leaders from across the Modern Data Stack Hosted by Databricks, dbt, Monte Carlo, Striim and SnowplowWednesday, September 21st | 5:00 – 7:30pm BST@ The Albion, 121 Hammersmith Rd (4 minutes from the Olympia) RSVP Link: https://snowplow.io/events/beers-with-data-peers/?BigData_LDN_Source=Striim
Introducing Striim Cloud on Google Cloud: a fully managed and unified cloud solution offering real time data streaming and integrationInsights-driven organizations grow an average of 30% per year, but with ever-increasing data sources, formats, and volumes, it’s a huge undertaking to integrate and unify it all. While homegrown tools, scripts, and third party utilities may offer temporary relief, it can become unwieldy to manage them across multiple teams and environments. And then you add in the need for low latency — because who wants stale data? — and the struggles with scalability to keep up with company growth.With the release of Striim Cloud on Google Cloud, we’re excited to offer a solution for data scientists, database admins, and businesses that rely on data.Starting today, Striim Cloud can be purchased on the Google Cloud marketplace. Striim Cloud on Google Cloud delivers five key benefits:Get started quickly: Launch smart data pipelines within ten minutes of sign up. Remove d
OverviewStriim is a unified data streaming and integration product that offers change capture (CDC) enabling continuous replication from popular databases such as Oracle, SQLServer, PostgreSQL and many others to target data warehouses like BigQuery and Snowflake.Change Data Capture is a critical process desired by many companies to stay up to date with most recent data. This enables efficient real-time decision making which is important for stakeholders. Striim platform facilitates simple to use, real-time dataintegration, replication, and analytics with cloud scale and security.In this tutorial, we will walk you through a use case where data is replicated from PostgreSQL to Snowflake in real time. Change events are extracted from a PostgreSQL database as they are created and then streamed to Snowflake hosted on Microsoft Azure. Follow this recipe to learn how to secure your data pipeline by creating an SSH tunnel on Striim cloud through a jump host.Step 1: Launch Striim Server and con
We are using Striim to replicate data from Oracle to BigQueryI would like to know how can I find out for UIcurrent archived logs being mined by log miner The current DDL ( LCR , logical count record ) being processed) Number of DDLs or LCR in the current Transaction or SCNThank You
Striim is a powerful SAAS platform where data is continuously collected and processed and dispersed to downstream systems. Between continuous real-time collection of data, and its delivery to enterprise and cloud destinations, data has to move in a reliable and scalable way. And, while it is moving, data often has to undergo processing to give it real value through transformations and enrichment. Continuous validation of data movement from source to target, coupled with real-time monitoring is very important to assess the health of the data pipelines. This monitoring can incorporate intelligence, looking for anomalies in data formats, volumes, or seasonal characteristics to support reliable mission-critical data flows.With Striim’s monitoring feature, you can keep an eye on your data pipeline right from the source until it is streamed to the target.You may monitor the Striim cluster, its applications, and their components using the Monitoring page in the web ui, the console, the system
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