Talend Real-Time Big Data Platform

Talend Big Data Platform enables the processing of complex structures so that large amounts of data can be successfully integrated.Get in touch with us

What is Talend Real-Time Big Data Platform?

The Real-Time Big Data Platform extends the well-known Talend integration with functions for processing large and diverse data volumes. Special connectors for semi-structured or unstructured formats, components for processing large data volumes, additional functions and capacities for unstructured data as well as batch integration of Spark, Kafka, Storm, etc. enable use in a complex data scenario.

Why Talend Real-Time Big Data Platform?

Harness the potential of real-time and streaming analytics through serverless Spark Streaming and machine learning. Talend Real-Time Big Data Integration generates native code that can be deployed in your cloud and in hybrid or multi-cloud environments. So you can start using Spark Streaming today to get reliable and meaningful real-time insights from all your batch data pipelines.

With Talend, you don't have to adapt your data pipelines every time new versions or releases of Big Data or cloud platforms hit the market. You can build on all your previous investments and innovate at the pace you want with dynamic distribution support and portable data pipelines.

Deployment scenarios:

Use the power of statistics to let machine learning make automated decisions, optimize shopping carts, forecast prices, optimize production processes, increase quality or know when the next maintenance should take place.

Structure of a data lake

Integrate data from internal sources with social media, audio, video, or weblogs in a central location to enable comprehensive Data Scientist analytics.

Analysis on streaming data

Use the power of statistics to let machine learning make automated decisions, optimize shopping carts, forecast prices, optimize production processes, increase quality or know when the next maintenance should take place.

Connection of machine data

Organize the ongoing collection and storage of sensor data, production logs, and machine logs to enable intelligent optimizations such as scrap reduction or dynamic control of maintenance intervals.

Benefit from the advantages:

Use of specific Big Data functions

The Real-Time Big Data Platform is precisely aligned to the requirements in the Big Data environment. Connectors specially designed for this area, components for processing large data volumes, and extended functionality specifically for Apache Spark enable the efficient setup and operation of a comprehensive analysis platform.

Implementation of Real-Time Analytics

Operationalize your machine learning models, integrate your data science algorithms in the data pipelines and benefit from the direct implementation of your optimization approaches in the streaming processes.

We are happy to advise you.

Data integration in real-time or batch, data warehouse or big data – if you want to keep up with the paradigm shifts, you need to understand the background. Our consultants are not only highly trained in Talend's products, but also understand the architectures and concepts. Together with our experts, you will find the best path for your data from source to destination, whether data warehouse or data lake.

We accompany you during the data integration process:

Martin Clement

martin.clement@timetoact.de

Concept

Based on your use cases, we analyze the requirements and discuss the business and technical framework. Together we define structured as well as semi-/unstructured data sources, select reasonable integration and storage options and model your future data lake in hybrid or multi-cloud environments. On this basis, we discuss possible implementation approaches for data pipelines and streaming analyses with you.

Implementation
Coaching

This is where we use Talend Real-Time Big Data Platform:

Get in touch with us here!

We would be happy to advise you on the use of Talend in a non-binding meeting. Leave your message here and we will get back to you as soon as possible.

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