Remove ETL Tools Remove Kafka Remove Scala Remove Unstructured Data
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Apache Spark Use Cases & Applications

Knowledge Hut

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52
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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

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Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Knowledge Hut

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. The main exam for the Azure data engineer path is DP 203 learning path.

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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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The Good and the Bad of Databricks Lakehouse Platform

AltexSoft

This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing.

Scala 64
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Azure Data Engineer Skills – Strategies for Optimization

Edureka

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use.

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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. Supporting streaming ingestion Now that we know how to get data into Snowflake, let’s turn our attention to feature engineering options within Snowflake.