O'Reilly on Data

AUGUST 18, 2020

In contrast, best-of-breed products take a more craftsman approach: they do one thing well and move quickly (often they are the ones driving technological change). We’ll share why in a moment, but first, we want to look at a historical perspective with what happened to data warehouses and data engineering platforms.

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Cloudera

SEPTEMBER 17, 2018

This puts new pressures on the people working behind the scenes to prepare and serve data in a consumable way to a growing audience with various levels of access credentials and technical expertise. It also puts pressure on tooling and technology platforms to enable self-serve BI in an easy, yet secure and controlled way.

Data Warehouse 54

Data Warehouse Optimization Visualization Unstructured Data 54

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse).

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

CIO Business Intelligence

FEBRUARY 15, 2024

“There are issues where regulatory obligations such as compliance make it easier to communicate the need for a technology solution and get investment from the board,” says CNR’s Puccinelli. But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.”

Strategy 134

Strategy Digital Transformation Cost-Benefit Forecasting 134

CIO Business Intelligence

MARCH 28, 2022

After launching the Healthcare and Life Sciences Data Cloud Platform just a week ago, Snowflake has announced a Retail Data Cloud aimed at helping retail and consumer goods companies make the most of their data. The Retail Data Cloud will also include prebuilt data applications from various technology and consulting partners.

Consulting 125

Consulting Data Warehouse Machine Learning Dashboards 125

bridgei2i

JANUARY 19, 2021

Enterprises can drive next-level transformational outcomes using intelligent chatbots that integrate with their data warehouses and dashboards, to provide actionable, easy to consume insights. Technologies like Natural Language Processing (NLP) are making analytics insights easier to consume through conversational AI.

Analytics 98

Analytics B2B Dashboards Sales 98

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Amazon Redshift is a fast and widely used data warehouse.

Interactive 115

Interactive Unstructured Data Analytics Data Warehouse 115

Juice Analytics

NOVEMBER 11, 2021

The symptoms we see are varied: lack of management support, lack of end-user adoption; poorly defined requirements; data warehouse projects that never seem to finish. And for each of these problems, the data industry has crafted different “solutions” or technologies to try to address them.

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. Choose the link under OpenSearch Dashboards URL. After the job runs successfully, navigate to OpenSearch Dashboards, and log in to the dashboard.

Analytics 93

Analytics IT Data Lake Visualization 93

IBM Big Data Hub

NOVEMBER 6, 2023

By adopting these 4 best practices to invest in the right technology and leverage the most recent advances in generative AI , enterprises can unlock unique services for SMB customers. Watsonx.data allows enterprises to centrally gather, categorize and filter data from multiple sources.

Cost-Benefit 112

Cost-Benefit Enterprise ROI Data Warehouse 112

datapine

SEPTEMBER 27, 2022

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. 6) “SQL: QuickStart Guide – The Simplified Beginner’s Guide To SQL” By Clydebank Technology. The all-encompassing nature of this book makes it a must for a data bookshelf. Viescas and Michael J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

JULY 10, 2023

“We’ve solved most of the consolidation challenges,” says Greg Rokita, assistant VP of technology at Edmunds. Rokita has been with Edmunds for more than 18 years, starting as executive director of technology in 2005. The data warehouse is about past data, and models are about future data.

Data Warehouse 98

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 98

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. But how trustworthy is that training data? Artificial intelligence (AI) adoption is still in its early stages.

Risk 78

Risk Modeling Management Metadata 78

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 109

Data Warehouse Cost-Benefit Sales Data-driven 109

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. These are specifically tailored to support BI reports and dashboards as per the business requirements.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany wants to build a new dashboard with quote history data for analysis and business insights.

Dashboards 72

Dashboards Data Warehouse Visualization Data Processing 72

datapine

MARCH 31, 2022

After acquiring 3 to 5 years of experience, you can specialize in a specific technology or industry and work as an analyst, IT expert, or even go to the management side by working as a BI project manager. This could involve anything from learning SQL to buying some textbooks on data warehouses. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

AWS Big Data

MARCH 16, 2023

SafetyCulture is a global technology company that puts the power of continuous improvement into everyone’s hands. Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Refer to Getting started data sharing using the console for setup steps.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Company data exists in the data lake. The Data Scientist.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 81

Enterprise Data Warehouse Snapshot Cost-Benefit 81

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 109

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 109

Juice Analytics

FEBRUARY 6, 2021

We highlight how many organization struggled to bridge the gap between their data investments and the minds and actions of decision-makers: This critical bridge between data warehouses and communication of insights to decision-makers is often weak or missing. They also need to change the culture and attitude of the organization.

Analytics 59

Analytics Data Warehouse Data-driven Business Intelligence 59

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort. Summing Up.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

datapine

SEPTEMBER 29, 2022

Today most of a company’s operations and strategic decisions heavily rely on data, so the importance of quality is even higher. And indeed, low-quality data is the leading cause of failure for advanced data and technology initiatives, to the tune of $9.7 1 – The people.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

APRIL 26, 2022

They wanted an assessment of the current state of technology at that time, in early 2020,” says Nallani, who began his evaluation in March 2020 and was later appointed CTO in August. Backcountry also lacked many core services critical for an online retailer — no CMS, no analytics, no data platform, and no data lake.

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

Smart Data Collective

APRIL 15, 2021

Data warehouses, a database that keeps the information in a processed and defined format, cannot connect directly to information sources, so data integration tools must process the raw data ahead of time to allow it to be usable. This stage is where the data gets turned into usable information for the end-users.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

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 Unstructured Data Data mining 135

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

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. Users have become increasingly hungry for quicker access to trusted and timely data, and a way to access that data with less reliance on the busy Central Analytics Technology team.

Publishing 55

Publishing Analytics Business Intelligence Operational Reporting 55