AltexSoft

AUGUST 29, 2023

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JUNE 16, 2023

Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format. After the data has been extracted, data analysts must transform the unstructured data into structured data by fixing data errors, removing unnecessary data, and identifying potential data.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

DECEMBER 29, 2023

Data Mining Data science field of study, data mining is the practice of applying certain approaches to data in order to get useful information from it, which may then be used by a company to make informed choices. It separates the hidden links and patterns in the data. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 26, 2023

RRB NTPC  To choose applicants for Graduate and Undergraduate positions under Non-Technical Popular Categories (NTPC) in various zonal railroads and manufacturing units of Indian Railways, the Railway Recruitment Board conducts the RRB NTPC exam. The abilities you must develop are as follows: coding abilities (Python, R, SQL, Scala, etc.)

Banking 52

Banking Insurance Finance Cloud Computing 52

ProjectPro

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

Knowledge Hut

APRIL 25, 2024

Variety: Unstructured data, semi-structured data, and raw data are only a few examples of the variety of data kinds that exist. Based on data about which product is being searched for/sold most frequently, manufacturing and collection rates for that product are fixed.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

MARCH 27, 2024

Factors Considered for Selecting the Best Big Data Analytics Tools There are a few factors to consider when selecting the best big data analytics tool for your organization. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Monte Carlo

JANUARY 16, 2024

Data issues identified and resolved faster A bright and rapidly evolving future 1. Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

APRIL 25, 2024

Information Technology has asserted its dominance everywhere in health care to food service sectors, manufacturing and sales. Considering today's translation media, data plays a significant role to be converted into a binary digital form. Data can be accepted as both singulars as well as plural subjects.

Technology 52

Technology Recruitment Media Cloud Computing 52

Cloudera

OCTOBER 17, 2023

So we bet big on Flink in 2020 and started developing tooling to bring it to the enterprise, and have a mature Flink product used by customers in banking, telco, manufacturing, and IT, (link here). They were suffering rising costs and were struggling to provide real-time insight to demanding stakeholders.

Database-centric 79

Database-centric Kafka Pipeline-centric Database 79

Knowledge Hut

OCTOBER 24, 2023

SQL and SQL Server BAs must deal with the organization's structured data. BAs can store and process massive volumes of data with the use of these databases. Knowledge of the business domain A business industry like banking, insurance, manufacturing, etc.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 89

Systems Hadoop Metadata Telecommunication 89

Netflix Tech

JULY 21, 2022

Some features (as an example) include Device Type ID, SDK Version, Buffer Sizes, Cache Capacities, UI resolution, Chipset Manufacturer and Brand. Different device types From the graph above, we show how even without doing any modeling, the structured data can give us immense knowledge about the memory domain.

Machine Learning 71

Machine Learning Datasets Big Data Data Pipeline 71

AltexSoft

NOVEMBER 1, 2023

For others, however, this will be a car manufacturer with the same name. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Let’s take the name Lincoln , for example. A simple word, it has different meanings.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

U-Next

SEPTEMBER 21, 2022

Not all of this data is erroneous. The majority of this unstructured, meaningless data can be well converted into a more organized (tabular/more comprehensible) format. In simpler terms, good data use implies thriving businesses. . When compared to other data applications, it is a more efficient and cost-effective option. .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

U-Next

JULY 25, 2022

Hardware Security: This subject helps students in comprehending various security concerns prevailing in the development of hardware, their manufacture, installation, and operation. . Data Structures. Data Structures Lab. They will be able to solve complex problems. . Hardware Lab. Foundational Mathematics.

Computer Science 52

Computer Science Software Engineer Software Engineering Java 52

Knowledge Hut

DECEMBER 26, 2023

The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data. This process helps convert the unstructured data into structured data, which can easily be collected and interpreted using analytical tools.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

MARCH 2, 2023

Data modeling involves creating a conceptual representation of data objects and their relationships to each other, as well as the rules governing those relationships. To design an effective data governance program, it’s crucial to choose an operational model that fits your business size and structure.

Data Governance 52

Data Governance Government Healthcare Programming 52

AltexSoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

OCTOBER 20, 2021

Six Sigma, factory-like approach to manufacturing and managing algorithm Considering algorithms as part of the entire flow instead of the whole process means that we can focus more on manufacturing algorithms and reducing errors. Auto-scaling and scheduling Portability and virtualization 2.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

MARCH 15, 2016

Another example of Big Data management in the telecom industry comes from Nokia. They store and analyse massive volume of data from their manufactured mobile phones. To paint a fair picture of Nokia’s Big Data, they manage 100 TB of structured data along with 500+ TB of semi-structured data.

Hadoop 40

Hadoop Retail Healthcare Banking 40

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

U-Next

OCTOBER 27, 2022

Cloud computing is becoming increasingly popular in the healthcare, BFSI, and manufacturing sectors in the region as the use of cloud computing has grown rapidly. You don’t have to worry about patching, taking a backup, or upgrading data. The company provides structured data management services exclusively.

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

Knowledge Hut

MARCH 7, 2024

Factors Considered for Selecting the Best Big Data Analytics Tools There are a few factors to consider when selecting the best big data analytics tool for your organization. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

ProjectPro

MARCH 14, 2014

As the big data boom spreads globally, we at ProjectPro describe on how big data helps business across different industries and the companies using big data that stand to gain the most from implementing big data initiatives. Hadoop is used at eBay for Search Optimization and Research.

Hadoop 40

Hadoop Big Data Data Mining Retail 40