Data Science 101

DECEMBER 3, 2019

Do you have a data governance document? What data do you collect? Technical Questions Before Starting a Data Strategy. How and where is your current data stored? Do you have a Business Intelligence (BI) tool? What is the current data infrastructure? Do you have a data warehouse?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. How to scale AL and ML with built-in governance A fit-for-purpose data store built on an open lakehouse architecture allows you to scale AI and ML while providing built-in governance tools.

Risk 79

Risk Modeling Management Metadata 79

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 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Alation

FEBRUARY 7, 2023

It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project. Data warehouses obfuscate data’s origin In 2013, I was a Business Intelligence Engineer at a financial services company.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. One of the best ways to solve this issue is to create a business glossary. According to the Chinese Zodiac, 2020 is the year of the rat.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Clearly documents data catalog policies, rules and shares information assets.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Octopai

MARCH 24, 2020

Business Intelligence has a lot depending on it. Every time someone from Marketing or Sales or HR needs a report created or modified, or every time there’s a problem with some data in a report that needs to be sorted ASAP – who do you call? So, what is BI Intelligence you ask? Business Glossary.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

CIO Business Intelligence

NOVEMBER 23, 2022

Unlike other frameworks, EA doesn’t include a formal documentation structure; instead, it’s intended to offer a more holistic view of the enterprise. Artificial intelligence (AI). Data warehouse. Business intelligence. Data modeling. Microsoft Azure. Strategy development. Enterprise solutions.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

datapine

JANUARY 24, 2021

Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. It’s crucial to know what data analysis questions you want to ask from the get-go. ETL data warehouse*.

IT 317

IT Statistics KPI Data-driven 317

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

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

APRIL 27, 2022

In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Change Data Capture identifies and processes only the data that has changed and stores the changed data in a form so as to be of further use.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

FineReport

NOVEMBER 17, 2021

It was an American interactive data visualization software company of business intelligence. It suits IT staff and business personnel. Also, with already organized Help Documents and user-friendly, good ecosphere, FineReport provides resources to solve problems. Meanwhile, Domo grows external data value.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

FineReport

DECEMBER 17, 2019

Jaspersoft ETL – an open-source ETL system that is easy to deploy and execute, creating a comprehensive data warehouse and data set. The documents can be published and exported in a variety of document formats. Mybatis framework is used for data access to facilitate secondary development. From Google.

Reporting 98

Reporting Dashboards Visualization Cost-Benefit 98

Jet Global

OCTOBER 7, 2020

Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Microsoft Azure.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

Alation

DECEMBER 21, 2022

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. Having good data is crucial to creating golden records. MDM Build Objects. The MDM tool should help with this.

Management 52

Management Data Quality Metadata Testing 52

Jet Global

APRIL 19, 2021

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 21, 2023

Business process automation AI has long played a role in RPA, albeit a small one. ML was used for sentiment analysis, and to scan documents, classify images, transcribe recordings, and other specific functions. One of the best immediate use cases is summarizing documents and extracting information from material, he says.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Octopai

JUNE 1, 2020

Let’s look at how these new requirements have changed the data landscape and how automated data mapping can give your company an advantage. Value of Data Mapping. If your company is merging with another or combining departments, data mapping allows for accurate data integration.

Metadata 52

Metadata Data Warehouse Data Integration Enterprise 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

AUGUST 8, 2022

Two months ago, the firm completed its data warehouse migration to Azure, along with a portion on Amazon Web Services. Today, roughly 85% of the firm’s data is in the cloud. While Swift intends to keep a document management system on-premises, Grant Thornton will continue to expand its cloud footprint.

Cost-Benefit 91

Cost-Benefit Digital Transformation Testing Data Warehouse 91

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Jet Global

OCTOBER 10, 2019

Microsoft has invested heavily in its business intelligence (BI) and analytics platforms for over 12 years. As one of the most widely used data visualization tools in the world, Power BI has made some huge improvements to creating custom visualizations that we want to share with you. How Use Custom Visuals for Power BI.

Visualization 56

Visualization Dashboards KPI Reporting 56

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Alation

SEPTEMBER 7, 2021

With Snowflake, data stewards have a choice to leverage Snowflake’s governance policies. First, stewards are dependent on data warehouse admins to provide information and to create and edit enforcement policies in Snowflake. Data quality details signal to users whether data can be trusted or used.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

CIO Business Intelligence

JUNE 7, 2022

Owczarek was recently involved in a project to develop an AI-based product for the pharmaceutical industry that would support the manual reviewing of research papers and documents with natural language processing. AI strategists can also help organizations obtain the data they need to fuel AI effectively.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

AWS Big Data

NOVEMBER 29, 2023

As part of the Talent Intelligence Platform Eightfold also exposes a data hub where each customer can access their Amazon Redshift-based data warehouse and perform ad hoc queries as well as schedule queries for reporting and data export. For example, for a customer named A, the schema name would be A_analytics.

Metadata 100

Metadata Data Warehouse Analytics Data Analytics 100

BI-Survey

AUGUST 21, 2020

But what are the right measures to make the data warehouse and BI fit for the future? Can the basic nature of the data be proactively improved? The following insights came from a global BARC survey into the current status of data warehouse modernization. They are opting for cloud data services more frequently.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. Better Data Culture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

AWS Big Data

MAY 3, 2023

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data.

Data Lake 77

Data Lake Data Warehouse Data-driven Optimization 77

AWS Big Data

JULY 25, 2023

The integration of Talend Cloud and Talend Stitch with Amazon Redshift Serverless can help you achieve successful business outcomes without data warehouse infrastructure management. Prerequisites To complete the integration, you need a Redshift Serverless data warehouse. Add a tRedshiftOutput database component.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. The central concept is the idea of a document.

Metadata 98

Metadata Visualization Unstructured Data Data mining 98

Cloudera

AUGUST 30, 2022

It outlines a scenario in which “recently married people might want to change their names on their driver’s licenses or other documentation. That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. Towards Data Science ). Forrester ).

Data Architecture 75

Data Architecture Data Lake Metadata Data Warehouse 75