ProjectPro

JUNE 6, 2025

ETL Tools: Extract, Transfer, and Load (ETL) pulls data from numerous sources and applies specific rules on the data sets as per the business requirements. You shall have advanced programming skills in either programming languages, such as Python, R, Java, C++, C#, and others.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

Knowledge Hut

DECEMBER 26, 2023

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.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

AltexSoft

OCTOBER 30, 2021

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.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Snowflake

MARCH 30, 2023

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!

Engineering 105

Engineering Raw Data Scala Machine Learning 105

Monte Carlo

DECEMBER 4, 2023

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.

PostgreSQL 52

PostgreSQL Data Lake ETL Tools Kafka 52

Knowledge Hut

NOVEMBER 28, 2023

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. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

JANUARY 24, 2023

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. The Schema Registry supports Java client apps and the Apache Avro and JSON Schema data formats.

AWS 52

AWS Data Lake ETL Tools Scala 52

ProjectPro

JUNE 6, 2025

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. The Schema Registry supports Java client apps and the Apache Avro and JSON Schema data formats.

AWS 40

AWS Data Lake ETL Tools Scala 40

ProjectPro

OCTOBER 15, 2014

Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. PIG was developed as an abstraction to avoid the complicated syntax of Java programming for MapReduce. YES, when you extend it with Java User Defined Functions.

Hadoop 52

Hadoop Java Unstructured Data SQL 52

ProjectPro

JUNE 6, 2025

You can practice developing Spark applications that integrate with CDP components like Hive and Kafka through hands-on practice. Technical skills, including data warehousing and database systems, data analytics, machine learning, programming languages (Python, Java, R, etc.), big data and ETL tools, etc. PREVIOUS NEXT <

Certification 40

Certification Data Engineering Data Engineer Engineering 40

Rockset

OCTOBER 11, 2022

The flow of data often involves complex ETL tooling as well as self-managing integrations to ensure that high volume writes, including updates and deletes, do not rack up CPU or impact performance of the end application. The connector does require installing and managing additional tooling, Kafka Connect.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Edureka

FEBRUARY 9, 2023

Experience with data warehousing and ETL concepts, as well as programming languages such as Python, SQL, and Java, is required. Data engineers must be well-versed in programming languages such as Python, Java, and Scala. Learn about popular ETL tools such as Xplenty, Stitch, Alooma, and others.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JUNE 6, 2025

Sqoop ETL: ETL is short for Export, Load, Transform. The purpose of ETL tools is to move data across different systems. Apache Sqoop is one such ETL tool provided in the Hadoop environment. A Java class gets generated during the Sqoop import process. YARN also offers fault tolerance.

Hadoop 40

Hadoop MySQL Relational Database Java 40

AltexSoft

MARCH 30, 2023

Besides that, it’s fully compatible with various data ingestion and ETL tools. The open source platform works with Java , Python, and R. 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

Scala Data Lake BI Google Cloud 64

Knowledge Hut

NOVEMBER 17, 2023

Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology. Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MAY 2, 2024

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

Scala Hospitality Retail Healthcare 52

ProjectPro

JUNE 6, 2025

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Knowledge Hut

SEPTEMBER 26, 2023

Programming languages like Python, Java, or Scala require a solid understanding of data engineers. Data is transferred into a central hub, such as a data warehouse, using ETL (extract, transform, and load) processes. Learn about well-known ETL tools such as Xplenty, Stitch, Alooma, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

SEPTEMBER 26, 2021

ETL Tools: Extract, Transfer, and Load (ETL) pulls data from numerous sources and applies specific rules on the data sets as per the business requirements. You shall have advanced programming skills in either programming languages, such as Python, R, Java, C++, C#, and others.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 23, 2016

Sqoop ETL: ETL is short for Export, Load, Transform. The purpose of ETL tools is to move data across different systems. Apache Sqoop is one such ETL tool provided in the Hadoop environment. A Java class gets generated during the Sqoop import process. YARN also offers fault tolerance.

Hadoop 40

Hadoop MySQL Relational Database Java 40

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Tools often used for batch ingestion include Apache Nifi, Flume, and traditional ETL tools like Talend and Microsoft SSIS.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

ProjectPro

FEBRUARY 21, 2023

You can practice developing Spark applications that integrate with CDP components like Hive and Kafka through hands-on practice. Technical skills, including data warehousing and database systems, data analytics, machine learning, programming languages (Python, Java, R, etc.), big data and ETL tools, etc. PREVIOUS NEXT <

Certification 52

Certification Data Engineering Data Engineer Engineering 52