Precisely

JUNE 1, 2023

Organizations that house customer data in multiple systems usually find it very difficult to comply with privacy, security, and data sovereignty regulations. By simplifying and streamlining integration and eliminating redundancy in data storage, businesses in highly regulated industries can vastly simplify compliance.

Management 52

Management Telecommunication Insurance Banking 52

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Databand.ai

JUNE 21, 2023

Data integrity tools are software applications or systems designed to ensure the accuracy, consistency, and reliability of data stored in databases, spreadsheets, or other data storage systems. By doing so, data integrity tools enable organizations to make better decisions based on accurate, trustworthy information.

Data Integration 52

Data Integration Data Cleanse Data Validation Telecommunication 52

Cloudera

DECEMBER 2, 2020

It serves more than 158 million customers, of which 104 million are users of data, creating more than 10 billion customer activities in a day. The telecommunications company recognized that in order to best serve its customers and keep up with their needs, it had to get to grips with data. A digital telco: the transformation .

Telecommunication 65

Telecommunication Data Science Business Intelligence Data Warehouse 65

Knowledge Hut

MAY 2, 2024

Be it telecommunication, e-commerce, banking, insurance, healthcare, medicine, agriculture, biotechnology, etc. But, in the majority of cases, Hadoop is the best fit as Spark’s data storage layer. Also, Spark and MapReduce do complement each other on many occasions. You name the industry and it's there. Features of Spark 1.

Scala 96

Scala Hadoop Datasets Java 96

Snowflake

MAY 2, 2023

A few years ago, a small town in Alaska experienced a series of winter storms—that’s business as usual—but this time a rising river flooded the local telecommunications facility and knocked it offline. All services were switched over to a backup data center. of respondents said data storage is a significant challenge.

Telecommunication 52

Telecommunication Metadata Data Portfolio 52

Knowledge Hut

DECEMBER 27, 2023

Full Stack Developer: A web developer or an engineer who can handle both - the front and back end is a full stack developer Back End Developer: Back-end developers are the experts who create and maintain the actions that are performed on websites, like security data storage, security, and other server-side functions.

Insurance 52

Insurance Finance Certification Media 52

Knowledge Hut

NOVEMBER 29, 2023

Management and Negotiation Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is used to describe data centers available to many users over the Internet. However, many factors can affect this number.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Hospitality 52

Knowledge Hut

JANUARY 18, 2024

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

AltexSoft

JULY 29, 2022

According to the latest report by Allied Market Research , the Big Data platform will see the biggest rise in adoption in telecommunication, healthcare, and government sectors. Hadoop distributed file system or HDFS is a data storage technology designed to handle gigabytes to terabytes or even petabytes of data.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

AUGUST 4, 2021

Based on the subjects, different sets of data are clustered inside a data warehouse, restructured, and get loaded into respective data marts from where they can be queried. Dependent data marts are well suited for larger companies that need better control over the systems, improved performance, and lower telecommunication costs.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

AltexSoft

JULY 18, 2023

In the realm of big data, Apache Spark’s speed and resilience, primarily due to its in-memory computing capabilities and fault tolerance, allow for the fast processing of large data volumes, which can often range into petabytes. Data analysis.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

MAY 31, 2021

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 Access Big Data Projects Example Code to Real-Time Tracking of Vehicles 22.

Big Data 52

Big Data Coding Project Hadoop 52