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 127

Data mining Data-driven Statistics OLAP 127

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 83

Metrics Slice and Dice Data Warehouse Dashboards 83

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

Sisense

OCTOBER 2, 2019

Reporting and business intelligence are often used to refer to the same thing — but wrongly so! The difference between reporting and business intelligence goes beyond charts for the first or data correlations for the second. Reporting and BI serve two different business needs. Reports often use the same format over time.

Business Intelligence 75

Business Intelligence Reporting Data Warehouse Data-driven 75

Cloudera

SEPTEMBER 17, 2018

However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. It also puts pressure on tooling and technology platforms to enable self-serve BI in an easy, yet secure and controlled way.

Data Warehouse 52

Data Warehouse Optimization Visualization Unstructured Data 52

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 114

Interactive Unstructured Data Analytics Data Warehouse 114

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. Flat files – Other systems supply data in the form of flat files of different formats.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

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. Being able to clearly see how the data changes in time is what makes it possible to extract relevant conclusions from it.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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

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 77

Risk Modeling Management Metadata 77

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. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 111

Data Warehouse Cost-Benefit Sales Data-driven 111

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 1 – The people.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

SEPTEMBER 27, 2022

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. These businesses include eBay, Autotrader, and Amazon.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

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 69

Analytics Data Warehouse Data Lake Metadata 69

Smart Data Collective

APRIL 15, 2021

Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports. Because employees of many different departments will be involved in managing the data in business intelligence, everyone needs to be on the same page before moving forward.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

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. They can also optimize their time if they don’t have to reinvent a report.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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 131

Analytics Data Science Unstructured Data Data mining 131

IBM Big Data Hub

AUGUST 28, 2023

Data analytics in the publishing industry With such a widespread global operation, Macmillan Publishers has a long history of investing in technology that can source deep analytical information about sales, inventory and transportation of their titles in the market. This contributed to the need for more analytics by our users.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

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

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 73

Dashboards Data Warehouse Visualization Data Processing 73

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 97

Dashboards Visualization Data Warehouse Data Lake 97

Jet Global

APRIL 20, 2020

Finance leaders that were quick to recognize the new paradigm got a head start, using the new technology to make their organizations more efficient and profitable. A new paradigm in reporting and analysis is emerging. Over the past few decades, however, technology has been closing that gap.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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. But how about my reporting interface?” you wonder.

Analytics 59

Analytics Data Warehouse Data-driven Business Intelligence 59

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 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

Alation

MARCH 29, 2022

In the 1970s, data was confined to mainframes and primitive databases. Reports required a formal request of the few who could access that data. The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

FineReport

JULY 23, 2020

In today’s fast-paced technological environment, everyone’s focus is often on the concept such as “data middle-platform”, “data warehouse”, and so on. Many people often overlook the basis of company operations: reports. For IT engineers, the main difficulties in making reports are. Sales Report.

IT 98

IT Reporting Visualization Data Warehouse 98

Jet Global

JULY 23, 2019

With multiple sessions on VBA, macros, Jet products, data visualization, Power BI, PivotTables, dashboards, and the latest technology in Microsoft Excel – Excelapalooza is your reporting and analytics dreamland. Check out this sample of more than 60 sessions: Build Stunning Dashboards with Power BI.

Dashboards 71

Dashboards Reporting Data Warehouse Visualization 71

datapine

JANUARY 24, 2021

If nothing can be changed, there is no point of analyzing data. But if you find a development opportunity, and see that your business performance can be significantly improved, then a KPI dashboard software could be a smart investment to monitor your key performance indicators and provide a transparent overview of your company’s data.

IT 317

IT Statistics KPI Data-driven 317

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Low error rates.

Testing 157

Testing Dashboards Measurement Experimentation 157

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 97

Data Lake Dashboards Recreation/Entertainment Sales 97

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. Data engineer job description.

Analytics 121

Analytics Data Science Statistics Unstructured Data 121

erwin

FEBRUARY 28, 2024

One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Jedox

OCTOBER 22, 2020

Today, though, the growing volume of data (currently measured in brontobytes = 10^ 27th power) and the advanced technologies available mean you can get much deeper insights much faster than you could in the past. In addition to using data to inform your future decisions, you can also use current data to make immediate decisions.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. So, we feel validated.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

DataKitchen

NOVEMBER 4, 2021

I get cut off at the knees from a data perspective, and I am getting handed a sandwich of sorts and not a good one!”. Not because of AWS or some other technology, but rather because companies like Amazon have compressed response and delivery times. New data is shared with users by updating reporting schema several times a day.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246