Remove ETL Tools Remove Java Remove Kafka
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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

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5 Key Takeaways from Flink Forward 2023

Cloudera

2: The majority of Flink shops are in earlier phases of maturity We talked to numerous developer teams who had migrated workloads from legacy ETL tools, Kafka streams, Spark streaming, or other tools for the efficiency and speed of Flink. Vendors making claims of being faster than Flink should be viewed with suspicion.

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Turning Streams Into Data Products

Cloudera

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. Today, CSP is powered by Apache Flink and Kafka and provides a complete, enterprise-grade stream management and stateful processing solution. Who is affected?

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase.

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Data Scientist vs Data Engineer: Differences and Why You Need Both

AltexSoft

Data engineers are programmers first and data specialists next, so they use their coding skills to develop, integrate, and manage tools supporting the data infrastructure: data warehouse, databases, ETL tools, and analytical systems. Deploying machine learning models. Statistics and maths. Let’s go through the main areas.

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How to Use ChatGPT ETL Prompts For Your ETL Game

Monte Carlo

Date-time parsing I'm working with a list of dates in Java stored as strings in the format 'dd-MM-yyyy'. Can you assist me in writing a Java method to parse these date strings? Provide guidance and best practices on specific ETL tools Say you’re new to Apache Kafka.

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Data Vault on Snowflake: Feature Engineering and Business Vault

Snowflake

Use Snowflake’s native Kafka Connector to configure Kafka topics into Snowflake tables. B) Transformations – Feature engineering into business vault Transformations can be supported in SQL, Python, Java, Scala—choose your poison!