Remove ETL Tools Remove Kafka Remove Scala
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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?

Kafka 93
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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?

Kafka 88
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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!

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20 Latest AWS Glue Interview Questions and Answers for 2023

ProjectPro

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. AWS Glue Job Interview Questions For Experienced Mention some of the significant features of AWS Glue.

AWS 52
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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

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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. ETL and BI skills. Deploying machine learning models. Let’s go through the main areas.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams.