Striim Team

223 Posts

Data Mesh, Data Products, and re-inventing yourself with Bruno Aziza (Head of Data at Google Cloud)

Posted on by Striim Team | 1 min read | 5 views

Bruno Aziza – Head of Data and Analytics at Google Cloud – has a unique expert perspective on the data industry through his work with data executives and visionaries while managing a broad portfolio of products at Google including BigQuery, Dataflow, Dataproc, Looker, Data Studio, PubSub, Composer, Data Fusion, Catalog, Dataform, Dataprep and Dataplex.

In this episode, Bruno we dive into topics such as the development (and disappointment) of Data Mesh, how it relates to Data Products, along with how data leaders can transform their organizations by first looking inward and transforming one’s self.

We also speak to why Chief Data Officers are navigating from ‘reactive analytics’ to data products that are driven by real-time.

Follow Bruno Aziza on Linkedin, Twitter, and Medium.

Building a Real-Time Lakehouse with Data Streaming

Posted on by Striim Team | 2 min read | 6 views

Data lakehouses are a strategic platform for unification of enterprise decision support, advanced analytics, and machine learning.

If engineered for streaming and other low-latency workloads, data lakehouses can enable companies to deliver trusted data-driven insights and sophisticated analytics in real time to internal operations as well as to customer-facing applications.

Delivering on the promise of the real-time cloud data lakehouse demands careful attention to a wide range of architecture, deployment, governance, and performance issues. Please join TDWI’s senior research director James Kobielus on this on-demand webinar, in which he, Databricks’ Spencer Cook, and Striim’s John Kutay, discuss how enterprises can incorporate change data capture and data streaming in a cloud-based lakehouse to drive real-time data-driven insights, operations, and customer engagement. After brief presentations, Kobielus, Cook, and Kutay engage in a roundtable discussion focused on the following issues:

  • What are the core business use cases for a real-time enterprise cloud data lakehouse?
  • What are the essential ingredients of a real-time enterprise cloud data lakehouse?
  • How should enterprises deploy change data capture, streaming, and other low-latency infrastructure within a real-time cloud data lakehouse?
  • What challenges do enterprises face when migrating schemas, data, and workloads from legacy data warehouses to a cloud data lakehouse?
  • How can enterprises future-proof their investments in real-time cloud data lakehouses?

Presented by:

Spencer Cook – Senior Solutions Architect, Databricks

Spencer Cook, M.S., is a data professional with experience delivering end-to-end analytics solutions in the cloud to iconic brands. Since 2021, Spencer has been a financial services solutions architect at Databricks focused on revolutionizing the industry with lakehouse architecture.

John Kutay – Director of Product Management, Striim

John Kutay is director of product management at Striim with prior experience as a software engineer, product manager, and investor. His podcast “What’s New in Data” best captures his ability to understand upcoming trends in the data space with thousands of listeners across the globe. In addition, John has over 10 years of experience in the streaming data space through academic research and his work at Striim.

5 Reasons Low Code Developers Should Join Striim

Posted on by Striim Team | 2 min read | 5 views

Low code development is a powerful tool for businesses looking to streamline their processes and improve efficiency. Striim is a low-code platform that provides users with a variety of benefits, including the ability to quickly and efficiently process and analyze data in real time. By joining the Striim community, low-code users can take advantage of the following benefits:

  1. Real-time analytics: One of the key benefits of using Striim is the ability to process and analyze data in real time. This means businesses can gain insights into their operations and make more informed decisions without waiting for data to be processed and analyzed.
  2. Single source of truth with easy integration: Striim is designed to be easy to integrate with a wide range of data sources and systems, including databases, data lakes, and cloud services. This means that businesses can easily connect all of their data sources and gain a complete view of their operations.
  3. High scalability: Striim is highly scalable, which means that it can easily handle large volumes of data. This is particularly useful for businesses experiencing rapid growth or needing to process large amounts of data in real-time.
  4. Community support: By joining the Striim community, users can take advantage of the support and knowledge of other Striim users. This can be particularly valuable for businesses new to low-code development or looking to improve their processes.
  5. Cost-effective: Low code development is a cost-effective solution for businesses. Striim is no exception. It provides businesses with a robust platform that enables them to streamline their operations and gain insights into their data without investing in expensive development resources.

In conclusion, Striim is a low-code platform that provides businesses with a powerful real-time tool for processing and analyzing data. By joining the Striim community, low-code users can take advantage of benefits such as real-time data processing, easy integration, high scalability, community support, and cost-effectiveness. These benefits can help businesses improve their operations and gain insights into their data, which can lead to increased efficiency and better decision-making.

Join the discussion: https://community.striim.com/

Introducing the Striim Community and Discord Server

Posted on by Striim Team | 2 min read | 5 views

As a data architect, business intelligence professional, or Chief Technical Officer, you know how important it is to have access to real-time data streaming to make the most informed decisions for your organization. That’s where Striim comes in.

One of the biggest benefits of using Striim is the ability to easily integrate with a variety of data sources, including databases, message queues, data warehouses, sensors, and files. This allows you to collect and stream data from a wide range of sources, providing a comprehensive view of your organization’s data.

But, as a busy professional, you may be wondering how you can stay up-to-date on the latest developments and best practices in the world of data streaming. That’s where the Striim Community and Discord come in.

By joining the Striim Community, you’ll have access to a wealth of knowledge and resources from other professionals using Striim to stream data in real-time. You can ask questions, share your experiences, and learn from others facing similar challenges.

The Striim Discord server is another great resource for staying connected with the Striim community. Here, you can join discussions and participate in live chats with other Striim users. You can also access support from Striim experts and get answers to your technical questions.

In addition to the knowledge and support you’ll gain from the Striim Community and Discord, there are many other benefits to using Striim for data streaming. For example, Striim’s built-in machine-learning capabilities allow you to analyze data streams in real-time, providing valuable insights and helping you make more informed decisions.

Striim also offers a low-code development environment, making it easy for non-technical users to build and deploy data streaming applications. This can save your organization time and resources, allowing you to quickly and easily implement data streaming solutions.

Overall, using Striim for data streaming offers a wide range of benefits for data architects, business intelligence professionals, and Chief Technical Officers. By joining the Striim Community and accessing the resources on the Striim Discord server, you can stay up-to-date on the latest developments and best practices, gain valuable support and insights from other professionals, and leverage the powerful features of Striim to stream data in real-time. Click below to get your free invite code.

Discord Invite Code

Join the Discussion!

 

The Future of Streaming Data: Technology, Use Cases, and Opportunities

Posted on by Striim Team | 1 min read | 5 views

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The streaming data market is constantly changing and evolving due to technological innovation and market demand. In order to stay ahead of the competition, companies need to have the most current and accurate information about the streaming data landscape. Watch our on-demand webinar to learn more about the future of the streaming data market. Sanjeev Mohan (Principal, SanjMo & Former Gartner Research VP) and Alok Pareek (Founder & EVP Products, Striim) discuss topics including:

      • The latest data trends including data products, data mesh, data observability, and more
      • The growth of real-time streaming replication and multiple market patterns to achieve replication (and their use cases)

Unleash the power of real-time data streaming to Google BigQuery

Posted on by Striim Team | 1 min read | 5 views

 

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

Presented by:

John Kutay
Director of Product, Striim
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