ProjectPro

JUNE 6, 2025

With this knowledge, they can design efficient data pipelines, automate data transformation, and ensure data quality and accuracy, which benefits their organization's data-driven initiatives. Suppose a cloud data engineer completes a course that covers Google Cloud BigQuery and its cost-effective pricing model.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

An AWS Data Scientist is a professional who combines expertise in data analysis, machine learning , and AWS technologies to extract meaningful insights from vast datasets. They are responsible for designing and implementing scalable, cost-effective AWS solutions, ensuring organizations can make data-driven decisions.

AWS 40

AWS Amazon Web Services Cloud Computing Machine Learning 40

ProjectPro

JUNE 6, 2025

Additionally, Spark provides a wide range of high-level tools, such as Spark Streaming , MLlib for machine learning, GraphX for processing graph data sets, and Spark SQL for real-time processing of structured and unstructured data. In addition, Athena supports various data formats, including CSV, JSON, ORC, Avro, and Parquet.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

By understanding and leveraging these techniques, businesses can create high-quality synthetic datasets that maintain the essential characteristics of their original data, enabling safe and effective data analysis , model training, and testing without compromising data privacy or security.

Healthcare 40

Healthcare Medical Datasets Machine Learning 40

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. To make accurate conclusions based on the analysis of the data, you need to understand what that data represents in the first place.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JUNE 6, 2025

Think of the data integration process as building a giant library where all your data's scattered notebooks are organized into chapters. You define clear paths for data to flow, from extraction (gathering structured/unstructured data from different systems) to transformation (cleaning the raw data, processing the data, etc.)

Data Integration 40

Data Integration Project Data Lake Hospitality 40

AltexSoft

FEBRUARY 11, 2023

The former uses data to generate insights and help businesses make better decisions, while the latter designs data frameworks, flows, standards, and policies that facilitate effective data analysis. But first, all candidates must be accredited by Arcitura as Big Data professionals.

Data Architect 87

Data Architect Certification Generalist Metadata 87

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. For the second year running, we announced the winners to a global audience via a virtual ceremony.

Banking 77

Banking Data Lake Telecommunication Data 77

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. IBM is the leading supplier of Big Data-related products and services.

Big Data 52

Big Data Unstructured Data Amazon Web Services Manufacturing 52

Knowledge Hut

DECEMBER 13, 2023

Tiger Analytics Tiger Analytics is among the important big data analytics companies. Tiger Analytics is a global leader in data analytics, and they provide organizations with a variety of data analysis options. It is also considered among the important big data consulting firms. Start your journey today!

Big Data 52

Big Data Consulting Amazon Web Services Hadoop 52

The Modern Data Company

MAY 10, 2023

Data warehouses offer the optimized performance you need. Needs to maintain data consistency and quality. Data warehouses provide robust data governance features and support historical data analysis. Data lakehouses combine the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

ProjectPro

JUNE 6, 2025

According to the World Economic Forum, AI is expected to create 97 million new jobs by 2025 in areas like data science, data analysis, software development, and digital transformation. Excellent at handling noisy, unstructured data like images. Limitations Struggles with ambiguous or high-dimensional data.

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

The Modern Data Company

MAY 10, 2023

Data warehouses offer the optimized performance you need. Needs to maintain data consistency and quality. Data warehouses provide robust data governance features and support historical data analysis. Data lakehouses combine the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data warehouses offer the optimized performance you need. Needs to maintain data consistency and quality. Data warehouses provide robust data governance features and support historical data analysis. Data lakehouses combine the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

ProjectPro

JUNE 26, 2015

With data sharing between mobile and navigation devices becoming easier, TomTom will soon make the self-driving car happen by leveraging meaningful big data analytics. - 12, May 2015, TheInquirer These are just some of the unusual innovative bigger big data solutions.

Big Data 40

Big Data Food Unstructured Data Retail 40

ProjectPro

JUNE 6, 2025

Source: query.prod.cms.rt.microsoft.com/cms The certification covers fundamental data concepts and Microsoft Azure data services. Data Storage- Exploring various data storage options, including Azure SQL Database, Azure Cosmos DB , Azure Blob Storage , and Azure Data Lake Storage.

Certification 40

Certification Cloud Cloud Computing Machine Learning 40

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

SEPTEMBER 26, 2023

Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands. Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

SEPTEMBER 22, 2023

What is Microsoft Azure Data Engineer Certification? The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services.

Certification 52

Certification Data Engineer Data Engineering IT 52

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. SQL is also an essential skill for Azure Data Engineers.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 1, 2018

Source : [link] ) Could 'big data' help Cleveland reduce health disparities - and create jobs?Cleveland.com, study conducted by the Center for Population Dynamics at Cleveland State University states that Cleveland has many opportunities to grow its economy by leveraging big data to enhance residents health."

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. More than 546,200 new roles related to big data will result from this.

Data Engineer 52

Data Engineer Data Engineering Engineering Programming Language 52

Ascend.io

NOVEMBER 21, 2023

Extract The initial stage of the ELT process is the extraction of data from various source systems. This phase involves collecting raw data from the sources, which can range from structured data in SQL or NoSQL servers, CRM and ERP systems, to unstructured data from text files, emails, and web pages.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Transportation 52

ProjectPro

JUNE 18, 2015

"- said Martha Crow, Senior VP of Global Testing at Lionbridge Big data is all the rage these days as various organizations dig through large datasets to enhance their operations and discover novel solutions to big data problems. Organizations need to collect thousands of data points to meet large scale decision challenges.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

ProjectPro

SEPTEMBER 11, 2015

For professionals from BI background, learning Hadoop is necessary because with data explosion it is becoming difficult for traditional databases to store unstructured data. Hadoop still has a long way to go when it comes to presenting clean and readable data solutions.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

APRIL 27, 2015

there is not sufficient man power to keep track of all the streams of video, the government could use one of the many big data analytics solutions provided by big data start-ups. TB of compressed data on daily basis. billion playlists, Spotify produces close to 1.5

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

Striim

AUGUST 22, 2024

Organizations seeking a mature, structured data solution that focuses on business intelligence and data analytics use cases may consider a data warehouse. It’s rare for all the data required for real-time analytics to be contained within the incoming stream.

Data Warehouse 52

Data Warehouse Retail Machine Learning Data Lake 52

Databand.ai

DECEMBER 13, 2022

She publishes a popular blog on Medium , featuring advice for data engineers and posts frequently on LinkedIn about coding and data engineering. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? Big data is often denoted as three V’s: Volume, Variety and Velocity. Unleash the power of data with our immersive Data Analysis Bootcamp.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JUNE 6, 2025

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

Hadoop 40

Hadoop Big Data Data Mining Consulting 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

Edureka

MAY 27, 2025

How does AWS Glue handle schema inference during the ETL process, and why is it beneficial in data engineering workflows? AWS Glue can automatically determine the schema of semi-structured and unstructured data throughout the ETL process.

AWS 40

AWS Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry. This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. trillion towards healthcare data solutions in the Healthcare industry.

Healthcare 45

Healthcare Big Data Hospitality Project 45

ProjectPro

JUNE 6, 2025

Without high-quality data, it's impossible to build accurate and reliable models. Therefore, finding suitable data sets for data science projects is crucial for successful data analysis and insights. So, where can you find good datasets for your data science projects? million comments, and 3.2K

Datasets 40

Datasets Data Science Project Google Cloud 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. Visualizing Wikipedia Trends Big Data Project with Source Code.

Big Data 52

Big Data Coding Project Hadoop 52