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 Hadoop Data Lake 112

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

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 Machine Learning Business Intelligence 97

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

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

Cloudera

OCTOBER 26, 2020

Attribute-based access control and SparkSQL fine-grained access control. Lineage and chain of custody, advanced data discovery and business glossary. Store and access schemas across clusters and rebalance clusters with Cruise Control. Relevance-based text search over unstructured data (text, pdf,jpg, …).

Certification 87

Certification Cloud Kafka Unstructured Data 87

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Finding data sources and automating the data collection process Discovering patterns and trends by analyzing information Performing data pre-processing on both structured and unstructured data Creating predictive models and machine-learning algorithms Average Salary: USD 81,361 (1-3 years) / INR 10,00,000 per annum 3.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Towards Data Science

JULY 21, 2023

The first layer of your stack will generally fall into one of three categories: a data warehouse solution like Snowflake that handles predominantly structured data; a data lake that focuses on larger volumes of unstructured data; and a hybrid solution like Databricks’ Lakehouse that combines elements of both.

Building 98

Building Business Intelligence BI Cloud Storage 98

Monte Carlo

JULY 19, 2023

The first layer of your stack will generally fall into one of three categories: a data warehouse solution like Snowflake that handles predominantly structured data; a data lake that focuses on larger volumes of unstructured data; and a hybrid solution like Databricks’ Lakehouse that combines elements of both.

Building 96

Building Business Intelligence Cloud Storage BI 96

Cloud Academy

NOVEMBER 6, 2022

We have different sources we get data from such as feedback, events, and platform usage, and we need to get it, apply transformations, and finally present the data to our internal stakeholders and our customers. Because of the variety of the data that we provide, we recently implemented Cube , a Headless BI solution.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Snowflake

MARCH 30, 2023

The timestamp of that business object’s state is what in Data Vault is referred to as the applied date timestamp, and as data is landed to be ingested into raw vault, a load date timestamp is also recorded per record to denote when that record enters the Data Vault.

Engineering 104

Engineering Raw Data Data Science Machine Learning 104

Edureka

MAY 28, 2025

Companies spend money on data warehouses because they quickly bring together business ideas from all over the company. Business researchers, data engineers, and decision makers can use BI tools, SQL clients, and other less advanced (i.e., not data science) analytics apps to access data in data warehouses.

Data Lake 40

Data Lake Data Warehouse Unstructured Data Business Intelligence 40

Knowledge Hut

APRIL 23, 2024

Have you ever used business intelligence (BI) to drive better business decisions for better revenue? Data plays a crucial role in identifying opportunities for growth and decision-making in today's business landscape. BI helps organizations to understand their customers better. Are you a businessman? What does your company do?

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

RandomTrees

SEPTEMBER 27, 2024

A cloud-based software as a service (SaaS) called Microsoft Fabric combines several data and analytics technologies that businesses require. Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Cloudera

SEPTEMBER 10, 2018

Their software is a great example of how Cloudera’s platform can be seen not only as a massively scalable data store but as a complete data warehousing platform on top of which their BI application is built. The main Arcadia Data product, Arcadia Enterprise, is a BI and visual analytics tool that leverages the power of Cloudera.

Data Warehouse 43

Data Warehouse BI Unstructured Data Data 43

ProjectPro

FEBRUARY 16, 2023

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 52

Business Intelligence BI Data Mining Algorithm 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

APRIL 1, 2016

(Source: [link] ) Altiscale launches Insight Cloud to make Hadoop easier to access for Business Users. This will make Hadoop easier to access for business users. Insight Cloud provides services for data ingestion, processing, analysing and visualization. Source: [link] ) AtScale simplifies BI on Hadoop with new release.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

AltexSoft

SEPTEMBER 23, 2021

It’s not a single technology, but rather an architectural approach that unites storages, data integration and orchestration tools. With a data hub, businesses receive the means to structure, and harmonize information collected from various sources. Data lake vs data hub. Data access layer: data querying.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Monte Carlo

AUGUST 19, 2023

To make things a little easier, I’ve outlined the six must-have layers you need to include in your data platform and the order in which many of the best teams choose to implement them. The five must-have layers of a modern data platform Second to “how do I build my data platform?”,

Building 52

Building BI Data Lake Data Governance 52

Knowledge Hut

DECEMBER 26, 2023

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. The spectrum of sources from which data is collected for the study in Data Science is broad.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JUNE 14, 2023

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). Most organizations deploy some or all of these data pipeline architectures.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

MAY 31, 2023

Business Intelligence (BI) comprises a career field that supports organizations to make driven decisions by offering valuable insights. Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

Snowflake

JUNE 27, 2023

Additional pruning features, now GA, help reduce the need to scan across entire data sets, thereby enabling faster searches. To help customers more easily analyze the structure of expensive queries and identify operators that cause performance problems, we will soon be making Programmatic Access to Query Profile available in GA.

Data Governance 59

Data Governance Unstructured Data Government SQL 59

ProjectPro

JUNE 6, 2015

How can business intelligence scale and analyse the growing data heap? Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. So what is BI? So what is BI?

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

Knowledge Hut

APRIL 23, 2024

Data Warehousing A data warehouse is a centralized repository that stores structured historical data from various sources within an organization. It is designed to support business intelligence (BI) and reporting activities, providing a consolidated and consistent view of enterprise data.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Monte Carlo

AUGUST 9, 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 52

IT Unstructured Data SQL BI 52

Knowledge Hut

DECEMBER 26, 2023

Data science is now more important than ever. The reason for this is data transformation. In the past, the data was in a structured format, was compact, and could be processed by straightforward BI tools. In the twenty-first century, data science is regarded as a profitable career.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

MAY 23, 2024

Data science professionals are scattered across various industries. This data science tool helps in digital marketing & the web admin can easily access, visualize, and analyze the website traffic, data, etc., A lot of MNCs and Fortune 500 companies are utilizing this tool for statistical modeling and data analysis.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . They facilitate access to what has been developed.

Hadoop 76

Hadoop Big Data Cloud Kafka 76

Monte Carlo

FEBRUARY 15, 2023

Data can be loaded using a loading wizard, cloud storage like S3, programmatically via REST API, third-party integrators like Hevo, Fivetran, etc. Data can be loaded in batches or can be streamed in near real-time. Structured, semi-structured, and unstructured data can be loaded.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52