CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

AWS Big Data

DECEMBER 5, 2023

A combination of Amazon Redshift Spectrum and COPY commands are used to ingest the survey data stored as CSV files. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. Outside of work she enjoys traveling and trying new cuisines.

Measurement 80

Measurement Dashboards Data Warehouse Analytics 80

Cloudera

JANUARY 21, 2021

If so – you are likely one of the growing group of Line of Business (LoB) professionals forced into creating your own solution – creating your own Shadow IT. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Paul Blogs on BI

SEPTEMBER 8, 2021

While we have definitely seen an acceleration in organizations using or moving operational applications to the cloud, Business Intelligence has lagged behind. It therefore makes sense when they move their data warehouses and BusinessObjects to move them to their existing private cloud.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

AWS Big Data

AUGUST 31, 2023

Data warehousing provides a business with several benefits such as advanced business intelligence and data consistency. Hence, automatic notifications are more often required in order to accelerate data ingestion, facilitate monitoring and provide accurate tracking about the process. manifest' s3.Bucket(bucketname).put_object(Key=keypath,

Data Warehouse 81

Data Warehouse Data-driven Testing Business Intelligence 81

Cloudera

FEBRUARY 8, 2024

Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP). Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Starting from the CDW Public Cloud DWX-1.6.1

Snapshot 89

Snapshot Metadata Cost-Benefit Data Warehouse 89

CIO Business Intelligence

JUNE 6, 2023

“The same should apply to the data that people in organizations need.” However, most enterprises treat data as a centralized and protected asset. It’s locked up in production applications, data warehouses, and data lakes that are administered by a small cadre of technical specialists.

Management 52

Management Data Warehouse Data Lake Digital Transformation 52

CIO Business Intelligence

OCTOBER 19, 2022

“So, at Zebra, we created a hub-and-spoke model, where the hub is data engineering and the spokes are machine learning experts embedded in the business functions. We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform. The CIO of the future So, there you have it!

IT 124

IT Digital Transformation Data Warehouse Risk 124

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool.

Metrics 77

Metrics Data Warehouse Dashboards Snapshot 77

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. The AWS Glue crawler populates the table definition with its schema in AWS Glue Data Catalog.

Optimization 88

Optimization B2B Data Quality Sales 88

Birst BI

JANUARY 23, 2018

Many IT and data management professionals posit that a single central data repository, such as a large cloud data warehouse or a data lake, is the definitive “single version of the truth.” For example, the definition of “profit” can be quite complex. Connecting definitions to underlying data.

Data Warehouse 50

Data Warehouse Data Governance Data Lake Enterprise 50

CIO Business Intelligence

APRIL 22, 2024

Per esempio, “i PoC aiutano a definire i parametri in base ai quali organizzare i data lake o i criteri per la digitalizzazione dei workflow. Esposito inizia conducendo dei Proof-of-Concept (PoC) o pilota, perché – spiega – nei progetti più strutturati aiutano nella standardizzazione.

Data Lake 105

Data Lake Testing Management IoT 105

Birst BI

OCTOBER 24, 2019

What is your definition of DaaS? DaaS is a core component of modern data architecture. It provides a governed standard for accessing existing data objects and pipelines for sharing new data objects within an organization. This includes ETL processes and subsequent augmented and extended data sets.

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Alation

JANUARY 26, 2023

Lack of data governance can summon a whole range of problems, including: Lack of consistency For data to be useful, it should be consistent across all areas. A field might not be entered in the same way across different departments, which makes the data difficult to find and affects the accuracy of business intelligence (BI).

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Many of us are all too familiar with the traditional way enterprises operate when it comes to on-premises data warehousing and data marts: the enterprise data warehouse (EDW) is often the center of the universe.

Cost-Benefit 43

Cost-Benefit Business Intelligence Data Warehouse Data Lake 43

Domino Data Lab

JUNE 15, 2021

At a certain point, as the demand keeps growing, the data volumes rapidly increase. Data is no longer stored in CSV files, but in a dedicated, purpose built data lake / data warehouse. This definition makes UDFs somewhat similar to stored procedures, but there are a number of key differences between the two.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Domino Data Lab

APRIL 3, 2019

Look toward the evolving changes in system architecture to understand where data governance will be heading. Definition and Descriptions. We’ll start with standard definitions – the currently accepted wisdom in the industry. That definition plus the one-liner provide good starting points. In other words, #adulting.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

datapine

AUGUST 29, 2022

Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Alation

APRIL 14, 2022

Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. For example, data science always consumes “historical” data, and there is no guarantee that the semantics of older datasets are the same, even if their names are unchanged. It’s not a simple definition.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52