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Projects in SQL Stream Builder

Cloudera

Businesses everywhere have engaged in modernization projects with the goal of making their data and application infrastructure more nimble and dynamic. release of Cloudera’s SQL Stream Builder (available on CDP Public Cloud 7.2.16 release of Cloudera’s SQL Stream Builder (available on CDP Public Cloud 7.2.16

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Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing

Cloudera

It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. This enables you to maximize utilization of streaming data at scale. Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg.

Analytics 115
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Job Notifications in SQL Stream Builder

Cloudera

Cloudera Stream Processing aims to take real-time data analytics to the next level. We’re excited to highlight job monitoring with notifications, a new feature for SQL Stream Builder (SSB). Overview In SSB you can manage multiple projects. Job notifications also belong to projects.

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Getting Your IoT Projects Off The Ground By Building On Azure

Xebia

Now, some projects go nowhere, with others end up being very successful. But even in the latter case, a new IoT platform will still fail if the wrong choices were made in the technology selection, right at the project’s inception. The technologies used to develop this project seemed “fine” at the time.

Azure 130
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Fraud Detection with Cloudera Stream Processing Part 1

Cloudera

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

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Using Apache Superset to Visualize PostgreSQL JSON Data (Pipeline Series Part 7)

Instaclustr

In the last installment of the pipeline blog series , we explored writing streaming JSON data into PostgreSQL using Kafka Connect. Here are some interesting points I discovered about Superset: It is based on SQL and can connect to any SQL database that is supported by SQL Alchemy. But what if you aren’t an SQL guru?

Data 97
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Cloudera named a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021

Cloudera

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. CDF enables such enterprises to achieve successful digital transformations with streaming analytics. It’s too late.

Analytics 102