ProjectPro

AUGUST 24, 2021

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

U-Next

SEPTEMBER 23, 2022

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. As a result of proper data analysis, new developments in grading methods have been created.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

U-Next

JUNE 29, 2022

Working with large amounts of data necessitates more preparation than working with less data. With so many varied data forms and formats, it’s critical to approach data analysis with a well-thought-out strategy that considers all data. Data ingestion can be divided into two categories: .

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

Monte Carlo

MAY 25, 2023

Data orchestration is the process of gathering siloed data from various locations across the company, organizing it into a consistent, usable format, and activating it for use by data analysis tools. Some of the value companies can generate from data orchestration tools include: Faster time-to-insights.

Data Pipeline 52

Data Pipeline Data Workflow Data Data Governance 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. How is big data analysis helpful in increasing business revenue?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

SEPTEMBER 21, 2023

Logstash is a server-side data processing pipeline that ingests data from multiple sources, transforms it, and then sends it to Elasticsearch for indexing. Fluentd is a data collector and a lighter-weight alternative to Logstash. It is designed to unify data collection and consumption for better use and understanding.

Engineering 52

Engineering NoSQL Programming Language Java 52

AltexSoft

MAY 14, 2021

Big Data analytics encompasses the processes of collecting, processing, filtering/cleansing, and analyzing extensive datasets so that organizations can use them to develop, grow, and produce better products. Big Data analytics processes and tools. Data ingestion. Data analysis.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Snowflake

JANUARY 18, 2023

Alignment of sequence data with a reference genome and variant-calling algorithms are key elements of primary and secondary genomic data analysis. The next step—tertiary analysis—involves analyzing large and dynamic collections of this preprocessed data, frequently packaged and distributed as compressed VCF files.

Pharmaceutical 85

Pharmaceutical AWS Java Healthcare 85

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. Visualizing Wikipedia Trends Big Data Project with Source Code.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

OCTOBER 20, 2021

Most Data Scientists know how to run python code on a Jupyter Notebook. We run the codes, do data analysis, come up with the final model result and stop there. Experiment to see what works best for your data, automate it using pipelines, and then monitor the performance of the workflow. Explain further.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

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