FreshBI

NOVEMBER 21, 2023

FreshBI stands out in this arena, bridging the gap between raw data and actionable insights. FreshBI has made its mark in the realm of business intelligence, offering a unique blend of consultancy services and state-of-the-art BI apps. Businesses no longer need to grapple with overwhelming amounts of data.

Business Intelligence 52

Business Intelligence Hospitality BI Consulting 52

RandomTrees

MARCH 10, 2025

From Information to Insight The difficulty is not gathering data but making sense of it. Predictive analytics and business intelligence (BI) solutions transform raw data into actionable insights, including real-time dashboards, forecasting capabilities, and scenario modelling.

Retail 52

Retail Data Governance Hospitality Banking 52

Maxime Beauchemin

AUGUST 28, 2017

Historically, people used the pejorative term “ data silo ” to designate issues related to heterogenous analytics that would be scattered across platforms or use incompatible referential. Silos naturally spawn into existence as projects get started, teams drift and inevitably as acquisitions occur.

Data Engineer 174

Data Engineer Data Engineering Engineering Software Engineer 174

Edureka

JANUARY 2, 2025

Microsoft created Power BI , a quickly expanding business intelligence (BI) tool and data visualization program, to revolutionize how businesses use data analytics to address business issues. You will often need to work around several features to get the most out of business data with Microsoft Power BI.

BI 52

BI Datasets Business Intelligence Data Analysis 52

Snowflake

FEBRUARY 21, 2023

There’s no need for ETLs, pre-aggregations that sacrifice flexibility, or additional infrastructure that requires data engineering resources. Metrics API: It provides a Metrics API that not only gives meaning to your raw data but also empowers your dev teams across the company to build with a self-service analytics API.

AWS 132

AWS Building Raw Data Architecture 132

Cloudera

NOVEMBER 19, 2020

CDP works across private and hybrid cloud environments, and because it is built on open source capabilities, it is interoperable with a broad range of current and emerging analytic and business intelligence applications. The modeling process begins with data collection. Fraudulent Activity Detection.

Government 119

Government Machine Learning Algorithm Raw Data 119

Christophe Blefari

JUNE 21, 2024

I won't delve into every announcement here, but for more details, SELECT has written a blog covering the 28 announcements and takeaways from the Summit. His business is centered on Snowflake, and he always offers the best perspectives. Snowflake Summit Snowflake took the lead, setting the tone. 3) Spark 4.0

Metadata 147

Metadata Data Warehouse BI MySQL 147

Cloudera

AUGUST 21, 2021

The pressures banks face call for a versatile end-to-end platform designed to drive insights, intelligence, and action from the data. Cloudera Data Platform (CDP) is an enterprise data cloud that manages the end-to-end data lifecycle – collecting raw data at the source to drive actionable insights and use cases.

Banking 103

Banking Raw Data High Quality Data Cloud 103

Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

Cloudera

NOVEMBER 2, 2020

These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration. But an important caveat is that ingest speed, semantic richness for developers, data freshness, and query latency are paramount.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

Knowledge Hut

FEBRUARY 2, 2024

In this blog, I will explain the top 10 job roles you can choose per your interests and outline their salaries. Web Development Course In today’s digital world, every single business needs a digital storefront. Albeit being extremely important, raw data, in and of itself, can be time-consuming and subject to misinterpretation.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). It’s a great place to learn Data Science.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

DataKitchen

SEPTEMBER 21, 2023

There are multiple locations where problems can happen in a data and analytic system. What is Data in Use? Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Raw Data 67

Raw Data Data Business Intelligence Data Engineer 67

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

Data Ingestion 52

Data Ingestion Data Engineer Data Engineering Engineering 52

DoorDash Engineering

APRIL 12, 2023

Challenges of ad-hoc SQLs Our initial goal with Curie was to standardize the analysis methodologies and simplify the experiment analysis process for data scientists. These steps ensure that our data is always up-to-date and complete. Thus, it is crucial to strike a balance between pre-aggregation and flexibility.

SQL 83

SQL Metadata Raw Data Government 83

Striim

SEPTEMBER 11, 2024

Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

U-Next

SEPTEMBER 7, 2022

Built to make strategic use of data, a Data Warehouse is a combination of technologies and components. A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data Warehouse in DBMS: . Conclusion . .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

The Modern Data Company

AUGUST 13, 2024

Introduction to Data Products In today’s data-driven landscape, data products have become essential for maximizing the value of data. As organizations seek to leverage data more effectively, the focus has shifted from temporary datasets to well-defined, reusable data assets.

Raw Data 52

Raw Data Metadata Datasets Utilities 52

Sync Computing

NOVEMBER 7, 2024

Data volume and velocity, governance, structure, and regulatory requirements have all evolved and continue to. Despite these limitations, data warehouses, introduced in the late 1980s based on ideas developed even earlier, remain in widespread use today for certain business intelligence and data analysis applications.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Knowledge Hut

SEPTEMBER 28, 2023

Welcome to this blog discussing the Power BI syllabus, where we'll delve into comprehensive exam preparation and offer valuable tips. It stands as a formidable business intelligence tool, providing an end-to-end solution for diverse data needs. Before we dive in, let's understand what Microsoft Power BI is.

BI 52

BI Business Intelligence Certification Raw Data 52

ProjectPro

JANUARY 27, 2023

You have probably heard the saying, "data is the new oil". It is extremely important for businesses to process data correctly since the volume and complexity of raw data are rapidly growing. Business Intelligence - ETL is a key component of BI systems for extracting and preparing data for analytics.

BI 52

BI ETL Tools Retail Healthcare 52

Edureka

AUGUST 29, 2024

Hence, the systems and architecture need a professional who can keep the data flow from source to destination clean and eliminate any bottlenecks to enable data scientists to pull out insights from the data and transform it into data-driven decisions. What Does a Data Engineer Do?

Data Engineer 40

Data Engineer Data Engineering Engineering Generalist 40

Edureka

JULY 18, 2024

Having a sound knowledge of R, SQL, Python, VBA, and Machine Learning enables you to transform raw data into clear, impactful stories for stakeholders. Speaking of salaries, curious about what the salary trajectory looks like for business analysts in India.

Business Analyst 40

Business Analyst BI Raw Data Finance 40

U-Next

OCTOBER 25, 2022

Translating data into the required format facilitates cleaning and mapping for insight extraction. . A detailed explanation of the data manipulation concept will be presented in this blog, along with an in-depth exploration of the need for businesses to have data manipulation tools.

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Database 40

AltexSoft

JANUARY 26, 2022

The credit for coining the new role goes to Michael Kaminsky , a former Director of Analytics at Harry’s Grooming and a founder of Recast, who wrote the article about analytics engineering on the Locally Optimistic blog in 2019. Below we list the core duties that this data specialist may undertake. Data modeling.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

Knowledge Hut

OCTOBER 13, 2023

Maintain Clean Reports Power BI report is a detailed summary of the large data set as per the criteria given by the user. They comprise tables, data sets, and data fields in detail, i.e., raw data. Working with raw data is challenging, so it is best advised to keep data clean and organized.

BI 52

BI Business Analyst Datasets Raw Data 52

Edureka

SEPTEMBER 23, 2024

Knowledge about different Types of Artificial Intelligence may help to get a more comprehensive view of how AI is divided into categories and used. Besides, reading blogs about the Future of AI may help you understand in which direction this technology is being developed.

Data Science 40

Data Science Data Mining Computer Science Finance 40

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. A data scientist may not always be presented with a business problem to solve.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Science 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

JANUARY 21, 2021

Of high value to existing customers, Cloudera’s Data Warehouse service has a unique, separated architecture. . Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). Their processes are no longer a hindrance to efficient and agile business intelligence.

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

Knowledge Hut

DECEMBER 28, 2023

Obtaining the Microsoft Data Engineer certification is a strategic move that can open doors to lucrative career opportunities. In this comprehensive guide, we will demystify the process of achieving the Azure Data Engineer certification. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Monte Carlo

MAY 19, 2022

In his seminal 2017 blog post, The Downfall of the Data Engineer , Maxime Beauchemin wrote that the data engineer had the worst seat at the table. However, stewards also took on leadership across initiatives designed to tame the “5 v’s” of big data: volume, value, variety, velocity, and veracity.

Generalist 52

Generalist Data Governance Government Metadata 52

Knowledge Hut

MARCH 18, 2024

Consequently, the demand for professionals in both data analytics and project management remains exceedingly high in today's business landscape. As a data analyst, I focus on diving into data to draw out valuable insights, while project managers are all about leading and coordinating projects.

Data Analytics 52

Data Analytics Project Management Programming Language 52

U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. What Does a Data Scientist Do? You could receive ten different responses if you consult ten distinct Data Scientists with the same question. What Is Data Science Course?

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

AltexSoft

MAY 14, 2021

Modern technologies allow gathering both structured (data that comes in tabular formats mostly) and unstructured data (all sorts of data formats) from an array of sources including websites, mobile applications, databases, flat files, customer relationship management systems (CRMs), IoT sensors, and so on.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. What is Data Analytics?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52