ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. Experience with using cloud services providing platforms like AWS/GCP/Azure. Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 16, 2023

Data modeling and database management: Data analysts must be familiar with DBMS like MySQL, Oracle, and PostgreSQL as well as data modeling software like ERwin and Visio. Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Scala 52

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

AltexSoft

NOVEMBER 7, 2022

For production purposes, choose from PostgreSQL 10+, MySQL 8+, and MsSQL. So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

AltexSoft

SEPTEMBER 21, 2023

It is developed in Java and built upon the highly reputable Apache Lucene library. This remarkable efficiency is a game-changer compared to traditional batch processing engines like Hadoop , enabling real-time analytics and insights. What is Elasticsearch?

Engineering 52

Engineering NoSQL Programming Language Java 52

Confluent

OCTOBER 16, 2019

The platform shown in this article is built using just SQL and JSON configuration files—not a scrap of Java code in sight. For more advanced analytics work, the data is written to two places: a traditional RDBMS (PostgreSQL) and a cloud object store (Amazon S3). SELECT * FROM TRAIN_CANCELLATIONS_00 ; Data sinks.

Kafka 19

Kafka Building Data Coding 19