ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

BI 98

BI Business Intelligence Non-relational Database Machine Learning 98

Rockset

MARCH 19, 2019

Taming Complex Weather Data Using Rockset Doug has developed tools that scrape NWS forecasts hourly for about a hundred points within Allegheny County. The NWS data is represented in nested JSON format, which is difficult to handle in a relational database.

SQL 40

SQL Raw Data Manufacturing Relational Database 40

Edureka

JULY 16, 2024

Data Sources That Support Query Folding and Incremental Refresh Not all data sources support query folding. However, many do, including: SQL Server : A widely used relational database management system. Azure SQL Database : A managed cloud database provided by Microsoft.

BI 40

BI Datasets Relational Database Retail 40

ProjectPro

NOVEMBER 15, 2021

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. Presto allows you to query data stored in Hive, Cassandra, relational databases, and even bespoke data storage.

Big Data 52

Big Data Project Metadata Programming Language 52

Ascend.io

JANUARY 2, 2024

Ingestion Points at the Source The journey of a data pipeline begins at its sources – or more technically, at the ingestion points. These are the interfaces where the pipeline taps into various systems to acquire data.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Knowledge Hut

OCTOBER 30, 2023

Soft Skills Analytical Skills: Strong analytical and problem-solving abilities to interpret data, identify trends, and provide actionable insights. The capacity to translate business requirements into data visualization solutions. Proficiency in SQL for data querying and manipulation, especially when dealing with relational databases.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Learning SQL is essential to comprehend the database and its structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Edureka

FEBRUARY 7, 2023

The main advantage of Azure Files over Azure Blobs is that it allows for folder-based data organisation and is SMB compliant, allowing for use as a file share. For storing structured data that does not adhere to the typical relational database schema, use Azure Tables, a NoSQL storage solution.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

AltexSoft

AUGUST 22, 2022

What is data fabric? A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., Orchestration and DataOps.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Knowledge Hut

SEPTEMBER 26, 2023

Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types. Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 30, 2024

Extraction: This initial step involves retrieving data from one or multiple sources or systems. During extraction, the process identifies and isolates the relevant data, preparing it for subsequent processing or transformation. The ETL process encompasses three fundamental stages: 1.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

U-Next

SEPTEMBER 23, 2022

Many Big Data settings employ a distributed design that integrates various systems; for example, a central data lake may be coupled with additional platforms such as relational databases or a data warehouse. The process of preparing data for analysis is known as extract, transform, and load (ETL).

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Knowledge Hut

DECEMBER 26, 2023

Some of these ideas consist of: Big data technology and technologists deal with a number of similar problems, such as data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns. Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

MAY 31, 2021

There are open data platforms in several regions (like data.gov in the U.S.). These open data sets are a fantastic resource if you're working on a personal project for fun. Data Preparation and Cleaning The data preparation step, which may consume up to 80% of the time allocated to any big data or data engineering project, comes next.

Big Data 52

Big Data Coding Project Hadoop 52