AltexSoft

FEBRUARY 11, 2023

The former uses data to generate insights and help businesses make better decisions, while the latter designs data frameworks, flows, standards, and policies that facilitate effective data analysis. But first, all candidates must be accredited by Arcitura as Big Data professionals.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Ascend.io

NOVEMBER 21, 2023

Extract The initial stage of the ELT process is the extraction of data from various source systems. This phase involves collecting raw data from the sources, which can range from structured data in SQL or NoSQL servers, CRM and ERP systems, to unstructured data from text files, emails, and web pages.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

NOVEMBER 19, 2023

Benefits of Azure Data Engineer Tools Azure tools for Data Engineers offer several benefits for organizations and professionals involved in data engineering: Scalability: Azure data services can scale elastically to handle growing data volumes and workloads, ensuring that your data solutions remain performant as your needs expand.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

OCTOBER 8, 2023

Exam Format: Aspirants need a scaled score of 750 on 65 questions with questions based on 20% Data Engineering, 24% Exploratory Data Analysis, 36% Modeling, and 20% Machine Learning Implementation and Operations. Eligibility: This exam is for aspirants who are well-versed in databases and DB solutions.

AWS 52

AWS Certification Cloud Computing Architecture 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. Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

NOVEMBER 10, 2016

Candidates can master Hadoop skills by working on hands-on projects which can be appealing to companies who are looking to scrutinize candidates on their ability to deliver real-world big data solutions. 5) 28% of Hadoopers possess NoSQL database skills.

Hadoop 52

Hadoop NoSQL Java Electronics 52

Cloud Academy

JANUARY 27, 2022

Some basic real-world examples are: Relational, SQL database: e.g. Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Knowledge Hut

DECEMBER 27, 2023

This NoSQL, document-oriented database is written in C, C++, and JavaScript. Based on a Thor architecture, this open-source tool offers a good substitute for Hadoop and some other big data platforms as well. Unleash the power of data with our immersive Data Analysis Bootcamp.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Databand.ai

DECEMBER 13, 2022

She publishes a popular blog on Medium , featuring advice for data engineers and posts frequently on LinkedIn about coding and data engineering. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

AUGUST 31, 2018

Companies that seek rapid data analysis or graphics processing have two options: purchase additional hardware or migrate to the cloud. AWS' principal computing solution is its EC2 instances, which offer flexible computing on request and can be tailored for various applications. over the next decade.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

MARCH 16, 2015

Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry. This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. trillion towards healthcare data solutions in the Healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

AUGUST 21, 2015

IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.

Hadoop 40

Hadoop Big Data Metadata Java 40