Knowledge Hut

DECEMBER 22, 2023

Power BI, originally called Project Crescent, was launched in July 2011, bundled with SQL Server. Later, it was renamed Power BI and presented as Power BI for Office 365 in September 2013. The Windows Store has Power BI Desktop, which Windows 10 users can get from. What is Power BI? Meijer connected Power BI.

BI 98

BI Business Intelligence Machine Learning SQL 98

databricks

JUNE 11, 2025

Watch the video with Experian and Flo Health “With Agent Bricks, our teams were able to parse through more than 400,000 clinical trial documents and extract structured data points, without writing a single line of code. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Entertainment 98

Entertainment Manufacturing Consulting Retail 98

ProjectPro

JUNE 6, 2025

allow data engineers to acquire, analyze, process, and manage huge volumes of data simply and efficiently. Visualization tools like Tableau and Power BI allow data engineers to generate valuable insights and create interactive dashboards. It can also access structured and unstructured data from various sources.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. What is Business Intelligence?

Business Intelligence 56

Business Intelligence BI Data Mining Raw Data 56

ProjectPro

JUNE 6, 2025

The auto-replication of BigQuery across international data centers is one of its key benefits, significantly reducing the possibility of service outages and downtime. Key Tools Snowflake offers a comprehensive collection of tools to manage every aspect of data input, transformation, and analytics, including unstructured data.

Data Warehouse 40

Data Warehouse Cloud Google Cloud Big Data 40

ProjectPro

JUNE 6, 2025

Benefits of AI in Data Analytics Having understood the challenges with traditional analytics, it's time to understand the real, tangible benefits of using AI in data analytics—from faster decision-making to more inclusive access to valuable insights across teams.

Data Analytics 40

Data Analytics Unstructured Data Datasets BI 40

ProjectPro

JUNE 6, 2025

Source: Microsoft The primary purpose of a data lake is to provide a scalable, cost-effective solution for storing and analyzing diverse datasets. It allows organizations to access and process data without rigid transformations, serving as a foundation for advanced analytics, real-time processing, and machine learning models.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

Athena by Amazon is a powerful query service tool that allows its users to submit SQL statements for making sense of structured and unstructured data. It is a serverless big data analysis tool. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization What is the need for AWS Athena?

AWS 67

AWS Big Data SQL Raw Data 67

ProjectPro

JUNE 6, 2025

Key Features: Along with direct connections to Google Cloud's streaming services like Dataflow, BigQuery includes built-in streaming capabilities that instantly ingest streaming data and make it readily accessible for querying. Dataprep has no infrastructure to deploy or manage data because it is serverless and scales to any size.

Data Engineer 40

Data Engineer Data Engineering Engineering Google Cloud 40

Edureka

AUGUST 26, 2024

Power BI Roadmap is a systematized approach that covers simple jobs to advanced ones. Here, we will provide you with the Power BI Roadmap to expertise—from developing basic skills and obtaining real-world experience to acquiring qualifications and inquiring about various career choices. How to Become a Power BI Analyst?

BI 52

BI Business Intelligence Consulting Certification 52

ProjectPro

JUNE 6, 2025

Data modeling enables the organization's departments to work together as a unit. It makes data more accessible. What does "data sparsity" imply? The number of blank cells in a database is known as data sparsity. In a data model, it describes the amount of data that is available for a specific dimension.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Power BI Power BI is another tool for business intelligence solutions. Like Tableau, it also offers interactive dashboards for quick data analysis. But, Power BI is the product of Microsoft, and thus one can easily integrate it with other applications. Start exploring them today and practice till you ace the game!

Data Preparation 45

Data Preparation Machine Learning Project IT 45

ProjectPro

JUNE 6, 2025

Key Features of RapidMiner: RapidMiner integrates with your current systems, is easily scalable to meet any demand, can be deployed anywhere, encrypts your data, and gives you complete control over who may access projects. Many developers have access to it due to its integration with Python IDEs like PyCharm.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Top 15 Data Analysis Tools to Explore in 2025 | Trending Data Analytics Tools 1. Power BI 4. Google Data Studio 10. Data Analysis Tools- How does Big Data Analytics Benefit Businesses? more accessible. Apache Spark 6.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol. In 2017, big data platforms that are just built only for hadoop will fail to continue and the ones that are data and source agnostic will survive.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Bucket Layouts in Apache Ozone Interoperability between FS and S3 API Users can store their data in Apache Ozone and can access the data with multiple protocols.

Systems 105

Systems Hadoop Unstructured Data Media 105

ProjectPro

JUNE 6, 2025

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. What is a Big Data Pipeline?

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

BigQuery also has built-in business intelligence and machine learning abilities that helps data scientists to build and optimize ML models on structured, semi-structured data, and unstructured data. Amazon Redshift is a fully-managed cloud data warehouse solution offered by Amazon. What is Amazon Redshift?

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Cloud 105

Cloud Unstructured Data Metadata Government 105

ProjectPro

JUNE 6, 2025

Big Data applications have probably made the most impact on the Healthcare sector - where the data is varied, complex and analysis is critical to providing better health facilities to the public. These systems can be related to human brains as they link bits of data to find real answers and not merely search results.

Big Data 40

Big Data Retail Banking Pharmaceutical 40

Towards Data Science

AUGUST 10, 2023

Here are some current and likely ways generative AI is contributing value to organizations and data teams both today and in the near future. #1- 1- Increasing data accessibility The lowest hanging fruit for generative AI within the world of data? You have it in the BI layer, you have it in data exploration tools.

IT 98

IT Unstructured Data SQL BI 98

ProjectPro

JANUARY 27, 2023

Whether you are a data engineer, BI engineer, data analyst, or an ETL developer, understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. You have probably heard the saying, "data is the new oil".

BI 52

BI ETL Tools Retail Healthcare 52

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! HUE’s table browser, with built-in data sampling. Efficient Query Design. Optimization as you go.

SQL 112

SQL Unstructured Data Data Lake Hadoop 112

ProjectPro

JUNE 6, 2025

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. It then loads the transformed data in the database or other BI platforms for use.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Big data analytics market is expected to be worth $103 billion by 2023. We know that 95% of companies cite managing unstructured data as a business problem. of companies plan to invest in big data and AI. million managers and data analysts with deep knowledge and experience in big data. While 97.2%

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

U-Next

AUGUST 11, 2022

BI tools are different types of application software that collect and process huge amounts of unstructured data from internal and external sources. The enormous amounts of data being created provide a problem for firms of all kinds, making it tougher year after year to ensure that all business operations are under check.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40

ProjectPro

JUNE 6, 2025

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. ”- says Rishi Tirumala, Software Engineer at Paxata Paxata is always on the quest to hire top-tier big data talent.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

ProjectPro

JUNE 6, 2025

This flexibility allows businesses to expand their data analysis process as needed without being limited by the capacity of their existing business intelligence tools or personnel. 6) Enhanced Data Utilization AI allows businesses to utilize both structured and unstructured data fully.

Data Analytics 40

Data Analytics Healthcare Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

Characteristics of a Data Science Pipeline Data Science Pipeline Workflow Data Science Pipeline Architecture Building a Data Science Pipeline - Steps Data Science Pipeline Tools 5 Must-Try Projects on Building a Data Science Pipeline Master Building Data Pipelines with ProjectPro!

Data Science 40

Data Science Building AWS Data Lake 40

Monte Carlo

JUNE 3, 2025

Its streamlining innovation in new ways, and noticeably, the first innovation he calls out is unstructured data turns out, its foreshadowing for some of the announcements to come. With Openflow, customers can more easily manage unstructured data movement and build data products with the same methods as structured data.

Unstructured Data 40

Unstructured Data Government SQL Data Architecture 40

ProjectPro

JUNE 6, 2025

Load- The pipeline copies data from the source into the destination system, which could be a data warehouse or a data lake. Transform- Organizations routinely transform raw data in various ways and use it with multiple tools or business processes. However, this necessitates the use of a data lake by businesses.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Store processed data in Redshift for advanced querying and create visual dashboards using Tableau or Power BI to highlight trends in customer sentiment, identify frequently mentioned product features, and pinpoint seasonal buying patterns. Use the ESPNcricinfo Ball-by-Ball Dataset to process match data. venues or weather).

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. Start trusting your data with Monte Carlo today!

Data Process 100

Data Process Process Metadata Business Intelligence 100

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. Data Analysts require good knowledge of Mathematics and Statistics, Coding, and Machine Learning.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

Cloudera

SEPTEMBER 9, 2022

Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. An architectural innovation: Cloudera Data Platform (CDP) and Apache Iceberg.

Architecture 102

Architecture Metadata Machine Learning Unstructured Data 102