CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Enter the data lakehouse. You can intuitively query the data from the data lake.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Sisense

JANUARY 1, 2020

5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company. That means you need to put all that data somewhere. Chances are it’s in a data warehouse, and even better money says it’s an AWS data warehouse. D3 Data Visualization ?—

Analytics 98

Analytics Digital Transformation Data Warehouse Dashboards 98

Cloudera

NOVEMBER 25, 2020

How could Matthew serve all this data, together , in an easily consumable way, without losing focus on his core business: finding a cure for cancer. The Vision of a Discovery Data Warehouse. A Discovery Data Warehouse is cloud-agnostic. Access to valuable data should not be hindered by the technology.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Unified Studio brings together functionality and tools from the range of standalone studios, query editors, and visual tools available today in Amazon EMR , AWS Glue , Amazon Redshift , Amazon Bedrock , and the existing Amazon SageMaker Studio. AWS Glue 5.0 Finally, AWS Glue 5.0 Additional resources: Introducing AWS Glue 5.0

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

AWS Big Data

DECEMBER 4, 2024

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. About the Authors Leo Ramsamy is a Platform Architect specializing in data and analytics for ANZ’s Institutional division.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

AWS Big Data

MARCH 18, 2024

Load generic address data to Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Redshift Serverless makes it straightforward to run analytics workloads of any size without having to manage data warehouse infrastructure. Select Directly query your data.

Data Warehouse 113

Data Warehouse Visualization Snapshot Data-driven 113

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 135

Analytics Data Science Data mining Unstructured Data 135

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 131

Analytics Data Science Statistics Data mining 131

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. The user permissions are evaluated using AWS Lake Formation to filter the relevant data.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Later this year, watsonx.data will infuse watsonx.ai

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

AWS Big Data

JUNE 23, 2023

Each day, TBs of new data is added to the data lake, which is then transformed, aggregated, partitioned, and compressed. In this post, we explain how Imperva’s solution enables users across the organization to explore, visualize, and analyze data using Amazon Redshift Serverless , Amazon Athena , and QuickSight.

Data Lake 97

Data Lake Dashboards Cost-Benefit Data Warehouse 97

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

AUGUST 2, 2022

An engineer approaches the machine, scans its QR code, and immediately accesses visual step-by-step instructions for fixing the issue created by the people who work with the same machines every day. Li gained experience in visual art and UX design as well as product management and software development before joining SwipeGuide in 2019.

Machine Learning 98

Machine Learning B2B Dashboards Measurement 98

Sisense

FEBRUARY 24, 2021

CDOs who have an outward focus for collaboration are more concerned about aligning data strategy with external vendors, suppliers, and customers. Data space dimension: Traditional data vs. big data. This dimension focuses on what type of data the CDO has to wrangle.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy. Data is susceptible to breach due to a number of reasons.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy. Data is susceptible to breach due to a number of reasons.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 58

IoT Data-driven Data Lake Data Strategy 58

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

Slice and Dice 98

Slice and Dice Data Warehouse Metrics Metadata 98

Sisense

JULY 6, 2021

This cutting-edge service integrates the abilities of a data lake, a data warehouse, and purpose-built stores, to enable unified governance and easy data movement. The full range of Sisense features allows businesses to analyze all their data,” said Assaf Jacoby, Sisense AVP of Cloud Alliances.

Data Lake 52

Data Lake Data Warehouse Data-driven Unstructured Data 52

AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution. Navigate to the Visual tab.

Sales 52

Sales Data Warehouse Visualization Testing 52

CDW Research Hub

APRIL 28, 2020

Automate data loads with job scheduling so that your data is always there when you need it. Quickly access data for business intelligence, reporting and visualization, or access next-generation analytics platforms like ThoughtSpot. Use Matillion’s universal REST API to connect to any AP-enabled application.

Data-driven 52

Data-driven Analytics Consulting ROI 52

Jet Global

FEBRUARY 25, 2025

Lets take a closer look at just how expensive dirty data can be. How Much is Dirty Data Costing You? According to The Data Warehouse Institute (TDWI), dirty data is costing US companies around $600 billion every year in lost revenue, missed opportunities, and ill-informed strategic decision-making.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Publishing 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Next, we ingest the Google Sheet data into the Snowflake Data Cloud using Fivetran.

Dashboards 52

Dashboards Metrics Sales Reporting 52

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

Metadata 64

Metadata Data Governance Dashboards Software 64

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Peter James Thomas

APRIL 3, 2020

I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. Busy Executives and Managers have their information needs best served via visual exhibits that are focussed on their areas of priority and highlight things that are of specific concern to them.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

FEBRUARY 1, 2023

With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Alation

FEBRUARY 13, 2020

Be it the stellar customer and analyst sessions at Tableau Conference in New Orleans or Forrester Data Strategy & Insights 2018 in Orlando, or the professional grade, bullet proof Alation Arena of robots at Strata Data Conference in New York or the Teradata Analytics Universe in Las Vegas, our rockstar avatar didn’t fail to impress.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. WhereHows is a DG project from LinkedIn, focused on big data.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Ontotext

MARCH 8, 2023

As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

CIO Business Intelligence

APRIL 9, 2025

This capability has become increasingly more critical as organizations incorporate more unstructured data into their data warehouses. Data and analytics leaders will need to evolve how they view the role of enterprise analytics in the Age of AI.

Enterprise 102

Enterprise Analytics Experimentation Machine Learning 102