Knowledge Hut

OCTOBER 27, 2023

Data Analytics has become increasingly important for businesses across industries in recent years due to advancements in technology that allow for efficient storage and processing of large amounts of data. And data analytics projects are the best way to simulate some of these scenarios and stay on top of the trends.

Data Analytics 52

Data Analytics Coding Project Medical 52

Knowledge Hut

MARCH 27, 2024

The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. What Is Big Data Analytics?

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 26, 2023

What is data analytics? In the world of IT, every small bit of data count; even information that looks like pure nonsense has its significance. So, how do we retrieve the significance from this data? This is where Data Science and analytics comes into the picture. Why data analytics?

Certification 52

Certification Data Analytics BI AWS 52

U-Next

OCTOBER 20, 2022

Understanding the various biases that emerge at each data analysis stage is necessary if we wish to use data and algorithms responsibly. In more detail, let’s examine some biases affecting data analysis and data-driven decision-making. . What Does Bias Mean in Data Analytics? .

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

Knowledge Hut

JUNE 23, 2023

Real-time data analytics is an essential innovation that enables companies to act quickly on data. By this year, more than half of business systems would base choices on current context data. This demonstrates the rising significance of real-time analytics architecture in the hectic corporate climate of today.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Knowledge Hut

JANUARY 18, 2024

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. Look out for upgrades on analytical techniques. Ensure collecting, storage, and analysis of data is accurate.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Cloudera

MAY 4, 2022

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. Faster decisions .

Insurance 130

Insurance Retail Finance Medical 130

Edureka

JULY 18, 2023

The data analytics industry is booming. In 2022, the global market for data analytics was worth $271.83 This growth is driven by the increasing amount of data generated, the need for businesses to make better decisions with data, and the rise of new technologies such as artificial intelligence and machine learning.

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Cloudera

OCTOBER 11, 2022

Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. Doing data at scale requires a data platform. .

Data Science 94

Data Science Aggregated Data Data Consulting 94

Cloudera

FEBRUARY 8, 2021

The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

Data Analytics 52

Data Analytics Manufacturing Data Process 52

Snowflake

JANUARY 18, 2024

Improved data sharing With Snowflake’s centralized data repository and scalability, manufacturers can easily integrate IT (CRM and ERP data) and OT (shop floor data and connected product data from IoT sensors) and achieve better visibility into operations, real-time data collection and analysis, 360-degree views of customers, and more.

Manufacturing 110

Manufacturing Unstructured Data Cloud Architecture 110

U-Next

SEPTEMBER 29, 2022

According to the World Economic Forum’s Future of Jobs Report 2020 , these roles are the most in-demand across big data industries. There is an increased demand for data professionals. . Who Is a Data Analyst, and What Do They Do? . The Key Difference Between Data Analytics vs. Data Science .

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

Snowflake

OCTOBER 9, 2023

Easily collect and store digital events directly to create a complete composable customer data platform (CDP) Marketers are increasingly leveraging the Snowflake Data Cloud as the foundation for all of their customer data analytics and activation.

Cloud 122

Cloud Building SQL Data 122

Cloudera

SEPTEMBER 29, 2021

Savvy medium-sized businesses have opportunities to implement data tools as they become more widespread and affordable. . 86% of the companies adopting big data and data analytics state that adopting the technology has had a positive impact. . The returns are tangible. Challenges.

Data Collection 79

Data Collection Data Analytics Accessible Machine Learning 79

ThoughtSpot

DECEMBER 19, 2023

Bill Schmarzo on Why Companies Need to Pivot from Data-Driven to Value-Driven Most companies have been collecting data for years, but the cost of data collection and storage often doesn’t add up to the value they extract from that data. They don't care about the three V’s of big data.

Entertainment 111

Entertainment Data Big Data Data Analytics 111

AltexSoft

JUNE 14, 2021

Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. You’ll need a data engineering team for that.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

Cloudera

FEBRUARY 21, 2023

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience.

SQL 111

SQL Kafka Raw Data Data 111

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Alternatively, a hybrid data platform that supports the various data capabilities – from data collection to ML and AI.

Insurance 102

Insurance Medical Machine Learning Data 102

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Medical 83

Medical Government Hospitality Electronics 83

Knowledge Hut

DECEMBER 21, 2023

The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. Some project ideas for energy IoT include: Smart Grids: A system that uses sensors and data analytics to optimize the distribution of energy, reducing waste and improving efficiency.

Coding 98

Coding Transportation Medical Retail 98

Cloudera

MARCH 29, 2022

To capitalize on the opportunities that data creates for the public good, state and local CIOs must harness data in motion with a cohesive strategy and platform. It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy.

Government 97

Government Cloud Cloud Computing Data Science 97

Knowledge Hut

APRIL 25, 2024

Big data can be summed up as a sizable data collection comprising a variety of informational sets. It is a vast and intricate data set. Big data has been a concept for some time, but it has only just begun to change the corporate sector. Administrators are using big data analytics to examine student dropout rates.

Big Data 97

Big Data Entertainment Transportation Banking 97

Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Source Code: Realtime Data Analytics 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

U-Next

MARCH 1, 2023

The data engineering process involves the creation of systems that enable the collection and utilization of data. Analyzing this data often involves Machine Learning, a part of Data Science. What is a data warehouse? How does a data warehouse differ from a database?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Cloudera

AUGUST 20, 2021

Data Types and Sources: The multitude of data experiences enable efficient processing of different data types, such as structured and unstructured data collected from any potential source. A Robust Security Framework. Processing Scalability: As we’ve previously demonstrated (e.g.,

Data Warehouse 98

Data Warehouse Data Cloud Architecture 98

Cloudera

DECEMBER 16, 2022

We’re proud to be recognized for the data management and data analytics innovations we have delivered in the new Cloudera Data Platform (CDP). Cloudera has always been in the forefront of disruptive technical innovation in data platforms. 5-Integrated open data collection.

Database 92

Database Cloud Systems Management 92

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

WeCloudData

OCTOBER 19, 2021

They use Kinesis Firehose and AWS Lambda to transform and store the data the devices collect. The data is served to the client’s app via RDS and Dynamo DB. The app provides some time-series analytics, energy consumption and cost associated with it. Problem Statement The Client uses AWS as the main cloud provider.

Consulting 52

Consulting AWS Data Collection Aggregated Data 52

WeCloudData

OCTOBER 19, 2021

They use Kinesis Firehose and AWS Lambda to transform and store the data the devices collect. The data is served to the client’s app via RDS and Dynamo DB. The app provides some time-series analytics, energy consumption and cost associated with it. Problem Statement The Client uses AWS as the main cloud provider.

Consulting 52

Consulting AWS Data Collection Aggregated Data 52

Knowledge Hut

JUNE 4, 2024

The agency would also use data to track the marketing campaign results and adjust as necessary. Start a Data Analytics Blog If you are thinking about startup ideas for data science, starting a data analytics blog could be a great business idea if you are passionate about data analytics and enjoy sharing your insights with others.

Data Science 52

Data Science Data Mining Media Recruitment 52

Knowledge Hut

FEBRUARY 29, 2024

Currently, numerous resources are being created on the internet consisting of data science websites, data analytics websites, data science portfolio websites, data scientist portfolio websites and so on. So, having the right knowledge of tools and technology is important for handling such data.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Knowledge Hut

DECEMBER 22, 2023

To know more, check out top Data Science courses. What is Data analytics? Information collected from different sources is used to make informed decisions for the organization, and is analyzed for some specific goals through Data Analysis. Cleaning and processing the data as per requirement.

Data Analysis 52

Data Analysis Data Analytics Data Mining Data Science 52

Knowledge Hut

JUNE 25, 2024

Data collection, exploration, cleaning, munging, and manipulation 9. Parallel Computing for Data Science: With Examples in R, C++ and CUDA Parallel Computing for Data Science: With Examples in R, C++ and CUDA" by Norman Matloff, published by Chapman and Hall/CRC in 2015, is rated 4.12/5 Teaches Python crash course.

Data Science 97

Data Science Python Hadoop Machine Learning 97

Knowledge Hut

MAY 1, 2024

Data scientists are usually those who are able to find out why things work the way they do, why they don’t work as expected , what has gone wrong in the business and how it can be fixed. All these are different processes in the world of data analytics. What would a day in the life of a D ata S cientist look like?

Algorithm 98

Algorithm Data Science Computer Science Raw Data 98

ProjectPro

APRIL 17, 2015

Big data companies are closely watching the latest trends in big data analytics to gain competitive advantage with the use of data. Businesses are wading into the big data trends as they do not want to take the risk of being left behind. IDC also forecasts that Big Data Analytics market will outpour from $3.2

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

APRIL 14, 2015

1 of 18 people in US today use big data analytics in finding companionship.Couples are finding love online and online dating today has become a big business. Online dating sites combine "data" and "analytics" to help people find their perfect soul mate. billion by 2016. Image Credit: linkurio.us

Big Data 52

Big Data Data Analysis Algorithm Hadoop 52