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2021 Data/AI Salary Survey

O'Reilly on Data

64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts. The tools category includes tools for building and maintaining data pipelines, like Kafka.

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Understanding ETL Tools as a Data-Centric Organization

Smart Data Collective

It generates Java code for the Data Pipelines instead of running Pipeline configurations through an ETL Engine. It is considered a “complex to license and expensive tool” that often overlaps with other products in this category. This blog talks about the basics of ETL and ETL tools. Conclusion.

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The future of application delivery starts with modernization

IBM Big Data Hub

It is a lightweight, fast Java runtime. Key benefits of Liberty include: Get faster start time with scale on-demand: featuring ‘ InstantOn’ delivering launch times for applications that are 10X faster than standard Java. It helps in minimizing the technical debt, too.

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Ingest, transform, and deliver events published by Amazon Security Lake to Amazon OpenSearch Service

AWS Big Data

It’s a portable columnar format, future proofed to support additional encodings as technology develops, and it has library support across a broad set of languages like Python, Java, and Go. Java code in an AWS Lambda function reads the SQS notification and prepares to read the object described in the notification. Choose Next.

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How Hybrid and Cloud-Based Architectures are Unlocking the Power of Data

Cloudera

As a result of their accomplishments, Cloudera has named these organizations as finalists for the 2021 Cloudera Data Impact Awards in the “Cloud Innovation” category. . The company was using a Java-based application as a hub, but it was expensive to maintain and made it increasingly difficult to add new features and device support. .

IoT 83
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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

“High frequency finance hedge funds” have emerged as a new and successful category of hedge funds. The post Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk appeared first on Cloudera Blog. Day-trading, once the exclusive territory of floor-traders is now available to all investors.

Risk 99
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Real-time inference using deep learning within Amazon Kinesis Data Analytics for Apache Flink

AWS Big Data

The Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. In this blog post, we demonstrate how you can use DJL within Kinesis Data Analytics for Apache Flink for real-time machine learning inference. The Java application code for this example is available on GitHub.