Knowledge Hut

APRIL 26, 2024

Data analysts typically use analytical and business intelligence software such as MS Excel, Tableau, PowerBI, QlikView, SAS, and may also use a few SAP modules. Data scientists, on the other hand, usually perform the same tasks with software such as R or Python, together with some relevant libraries for the language used.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

MARCH 27, 2024

MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner. With fault tolerance and horizontal scalability, it was designed to handle a pool of large data.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Analysis of structured data is typically performed using SQL queries and data mining techniques. Common formats include XML, JSON, and CSV.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 26, 2023

A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

JUNE 16, 2023

You can enroll in Data Science courses to enhance and learn all the necessary technical skills needed for data analyst. Roles and Responsibilities of a Data Analyst Data mining: Data analysts gather information from a variety of primary or secondary sources.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. They also assist with data cleaning and preparation of data.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

NOVEMBER 16, 2023

DynamoDB: In order to handle distributed replicas of data for high availability, DynamoDB is a scalable NoSQL data store. ElastiCache: With ElastiCache, we may access data from an in-memory caching system, which enhances application speed. Data pipeline: It facilitates the transfer of data between services.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

Knowledge Hut

JANUARY 22, 2024

Business Analytics For those interested in leveraging data science for business objectives, these courses teach skills like statistical analysis, data mining, optimization and data visualization to derive actionable insights. Capstone projects involve analyzing company data to drive business strategy and decisions.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

DECEMBER 7, 2016

The complexity of big data systems requires that every technology needs to be used in conjunction with the other. Your Facebook profile data or news feed is something that keeps changing and there is need for a NoSQL database faster than the traditional RDBMS’s. HBase plays a critical role of that database.

Technology 40

Technology NoSQL Hadoop Data Mining 40

Silectis

JANUARY 3, 2021

Data Catalog An organized inventory of data assets relying on metadata to help with data management. Data Engineering Data engineering is a process by which data engineers make data useful. Data Migration The process of permanently moving data from one storage system to another.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

A data science professional certificate is attained only by fulfilling the required pre-requisites, passing a graded-exam, and at last clearing the interviews. These certifications are a great option to establish or switch careers in data science. Python and R are the best languages for Data Science. Expiration - No expiry 4.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

JANUARY 19, 2022

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc., According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

SEPTEMBER 6, 2023

Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JULY 3, 2023

Like IoT devices, sensors, social media platforms, financial data, etc. Data Storage: Real-Time data ingestion infrastructure requires storage capable of handling and storing high amounts of data with low latency.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

DECEMBER 27, 2023

Often stored in computer databases or the cloud and is analyzed using software specifically designed to handle large, complex data sets. Importance of Big Data It is not the amount of data a company possesses, but the importance and advantage of big data depend on how a company interprets and utilizes it.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JUNE 30, 2016

.” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner Gartner report on big data skills gap reveals that about 2/3 rd of big data skill requirements remains unfilled and only 1/3 are met.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

APRIL 20, 2017

Problem Statement In this Hadoop project, you can design an OLAP cube for the AdventureWorks database and build it using Apache Kylin. How small file problems in streaming can be resolved using a NoSQL database. And, after you are done preparing the list, you will want to set your priorities and design the itinerary accordingly.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

AUGUST 11, 2021

Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data warehouses store highly transformed, structured data that is preprocessed and designed to serve a specific purpose. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 7, 2016

As a result, several eLearning organizations like ProjectPro, Coursera, Edupristine and Udacity are helping professionals update their skills on the widely demanded big data certifications like Hadoop, Spark, NoSQL, etc. The demand for people who understand “Big Data” and can work with it, is growing exponentially.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

MAY 23, 2015

Walmart acquired a small startup Inkiru based in Palo Alto, California to boost its big data capabilites. “Our ability to pull data together is unmatched”- said Walmart CEO Bill Simon. Walmart uses data mining to discover patterns in point of sales data.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

MARCH 16, 2015

The sum total of data related to the patient and their well-being constitutes the “Big Data” problem in the healthcare industry.Big Data Analytics has actually become an on the rise and crucial problem in healthcare informatics as well.

Healthcare 40

Healthcare Big Data Project Hospitality 40