Knowledge Hut

JULY 31, 2023

It explores techniques to protect sensitive data while maintaining its usefulness for analysis and reporting, considering factors such as data masking algorithms, data classification, and access control mechanisms.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Knowledge Hut

DECEMBER 28, 2023

We'll go into the specifics of these projects, from social media analytics to healthcare data analysis, to see how they're using Hadoop to solve difficult data problems if you want to learn more about Hadoop and big data by exploring Big data training. Why Are Hadoop Projects So Important?

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

APRIL 25, 2024

Compute: Through the method of computing, or data processing, is an important aspect of Information Technology. It helps in storing the data in the CPU. Data Storage: The place where the information is stated somewhere safe without directly being processed. They are: 1.

Technology 52

Technology Recruitment Media Cloud Computing 52

Knowledge Hut

DECEMBER 26, 2023

It is a group of resources and services for turning data into usable knowledge and information. Descriptive analytics, performance benchmarking, process analysis, and data mining fall under the business intelligence (BI) umbrella. You will also need an ETL tool to transport data between each tier.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

DECEMBER 6, 2023

Data Analyst Data Analysts act as a bridge between data science and business. Data Analysts gather relevant data from various sources and must be able to present their findings in a way that all project stakeholders can understand. 3-10 LPA, but most of the companies offer a bit static salary ranging between Rs.

Engineering 52

Engineering Computer Science Programming Language Education 52

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

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Also, experience is required in software development, data processes, and cloud platforms. .

Medical 52

Medical Computer Science Scala Machine Learning 52

Edureka

FEBRUARY 27, 2023

However, data warehouses can be difficult and expensive to maintain, and they can become stale if not regularly updated with new data. Data Mining: Data mining extracts valuable information from large data sets.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 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. Data durability and availability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

SEPTEMBER 6, 2023

As we all know Data Science is the most demanding job in the IT industry, today tons of data is created by just a single click, hence it is extremely important that this data is properly tailored and utilized to make viable business decisions. Python and R are the best languages for Data Science.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Silectis

JANUARY 3, 2021

Data Lineage Data lineage describes the origin and changes to data over time Data Management Data management is the practice of collecting, maintaining, and utilizing data securely and effectively. Data Migration The process of permanently moving data from one storage system to another.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

JULY 3, 2023

Due to the data ingestion process, you can perform various operations like data analysis, dashboarding and other analytical and business tools. Like IoT devices, sensors, social media platforms, financial data, etc. Resource Utilization Requires continuous utilization of resources to handle real-time processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

ProjectPro

JANUARY 25, 2022

Yahoo utilizes Apache Spark's Machine Learning capabilities to customize its news, web pages, and advertising. PySpark SQL provides all existing and new users with consistent shared access to various data sources such as Parquet, JSON, and many others. You can utilize an accumulator to perform a sum operation ( like in MapReduce).

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

JULY 15, 2021

You shall also use digital signatures and data encryption algorithms, such as Advanced Encryption Standard (AES), in the system. Diffie-Hellman key exchange is a suitable algorithm to carry out encryption and decryption. You can also exchange images securely utilizing the application.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

JUNE 9, 2021

It converts data using various tools and technologies and builds data modeling solutions that offer helpful and valuable insights to solve business problems. For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

MARCH 14, 2014

With tons of industries using big data to convert the growing influx of data into useful insights and gain competitive advantage in the big data evolution-big data is making waves in almost every sector. 14 Hulu Video Delivery 13 machine clusters – 8 cores, 4 TB Used for analysis and log storage 15 Last.fm

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Advanced data scientists can use supervised algorithms to predict future trends.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JULY 3, 2015

. “With Big Data, you’re getting into streaming data and Hadoop. SAP HANA vs HADOOP For example, let’s consider the IoT deployments of Oil and Gas Utility sector, various types of sensors provide readings at a high scale. Helps data mining of raw data that has dynamic schema (schema changes over time).

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

MARCH 17, 2014

Big Data Analytics tackles even the most challenging business problems through high-performance analytics. To add on to this, organizations are realizing that distinct properties of deep learning and machine learning are well-suited to address their requirements in novel ways through big data analytics.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52