Knowledge Hut

JANUARY 24, 2024

Data connectors: Numerous data connections are supported by Tableau, including those for Dropbox, SQL Server, Salesforce, Google Sheets, Presto, Hadoop, Amazon Athena, and Cloudera. Some examples are Microsoft Excel, Text/CSV, folders, MS SQL Server, Access DB, Oracle Database, IBM DB2, MySQL database, PostgreSQL database and etc.

BI 98

BI Business Intelligence Non-relational Database Machine Learning 98

Rockset

MARCH 10, 2022

Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. Traditionally, this information would be stored in transactional databases — Oracle Database , MySQL , PostgreSQL , etc. He was an engineer on the database team at Facebook, where he was the founding engineer of the RocksDB data store.

Data Analytics 52

Data Analytics Data Warehouse MySQL Medical 52

Knowledge Hut

NOVEMBER 16, 2023

It is based on PostgreSQL 8.0.2’s It is 10x faster than Hadoop. Amazon uses a platform that works similarly to MySQL with tools like JDBC, PostgreSQL, and ODBC drivers. If you want to programmatically manage clusters, you can use the AWS Software Development Kit or the Amazon Redshift Query API.

IT 52

IT Bytes AWS Data Warehouse 52

Knowledge Hut

SEPTEMBER 6, 2023

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. Intellipaat Big Data Hadoop Certification Introduction : This Big Data training course helps you master big data and Hadoop skills like MapReduce, Hive, Sqoop, etc.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

FEBRUARY 16, 2023

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. Data processing tasks containing SQL-based data transformations can be conducted utilizing Hadoop or Spark executors by ETL solutions.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc., Experience with using cloud services providing platforms like AWS/GCP/Azure. Good communication skills as a data engineer directly works with the different teams.

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. This procedure can be sped up with the aid of programmes like Open Refine and Trifacta.

Programming Language 52

Programming Language Data Science Data Analytics Cloud Computing 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. 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

Databand.ai

DECEMBER 20, 2022

Olga is skilled in MySQL, PostgreSQL, and R and regularly publishes articles on topics like data analysis and machine learning. She has extensive experience in platform integration using advanced data mining and machine learning in Python, SQL, and R, and data engineering in Snowflake, Apache Spark, and Hadoop.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Knowledge Hut

NOVEMBER 2, 2023

In this, there are options for SQL Server, Oracle, MariaDB, MySQL, PostgreSQL, and Amazon Aurora. For Big data Amazon Elastic MapReduce is responsible for processing a large amount of data through the Hadoop framework. It also offers NoSQL databases with the help of Amazon DynamoDB.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data. Explain how Big Data and Hadoop are related to each other.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

AUGUST 31, 2018

AWS’s core analytics offering EMR ( a managed Hadoop, Spark, and Presto solution) helps set up an EC2 cluster and integrates various AWS services. Azure provides analytical products through its exclusive Cortana Intelligence Suite that comes with Hadoop, Spark, Storm, and HBase.

AWS 45

AWS Cloud Amazon Web Services Big Data 45

AltexSoft

JUNE 26, 2023

According to the 2023 Stack Overflow survey , the most popular SQL solutions so far are PostgreSQL, MySQL, SQLite, and Microsoft SQL Server. It’s a natural choice for collecting and storing financial transactions, inventory lists, customer preferences, employee records, and booking details, to name just a few use cases.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Christophe Blefari

FEBRUARY 23, 2024

Spark future — I'm convinced that Apache Spark will have to transform itself if it is not to disappear (disappear in the sense of Hadoop, still present but niche). Neurelo raises $5m seed to provide HTTP APIs on top of databases (PostgreSQL, MongoDB and MySQL). But for sure I'll add Arrow in the v2.

Data Lake 130

Data Lake PostgreSQL MongoDB MySQL 130

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

ProjectPro

APRIL 26, 2016

Table of Contents Hadoop Hive Interview Questions and Answers Scenario based or Real-Time Interview Questions on Hadoop Hive Other Interview Questions on Hadoop Hive Hadoop Hive Interview Questions and Answers 1) What is the difference between Pig and Hive ? Usually used on the server side of the hadoop cluster.

Hadoop 40

Hadoop Metadata SQL Database 40

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. They demand good knowledge of non-relational databases, including MongoDB, DynamoDB, Casandra, Redis, and Oracle, as well as MySQL, SQL Server, PostgreSQL, Oracle, and others. Data Scientist Skills.

Data Science 52

Data Science Computer Science Retail Entertainment 52