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. It is a must-read for understanding data warehouse design.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

CIO Business Intelligence

JANUARY 16, 2023

Kirkland, a founding member of SustainabilityIT.org, an organization to drive global sustainability through technology leadership, says Choice was the first hospitality company to make a strategic commitment to developing a cloud-native and sustainable platform on AWS. All the logic is still in Java hosted on Amazon’s infrastructure.”

Cost-Benefit 144

Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

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

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 87

Data Processing IoT Cost-Benefit Digital Transformation 87

BizAcuity

FEBRUARY 1, 2019

Technology has spread its roots to almost all realms of business, so much so that ‘smart’ has become today’s norm. But it doesn’t mean technology has done everything there is that can be done. The Opportunities That Await Technology in The Events Industry. At the crux of any event lies data.

Data Warehouse 73

Data Warehouse B2B Business Intelligence Data-driven 73

Cloudera

SEPTEMBER 29, 2022

Data mesh defined. Data Mesh is a concept used to help scale a company’s data footprint in a manageable way. It is a set of rubrics around people, process, and technology choices that allow for companies to scale their data systems. . Data mesh conceptual hierarchy. Data fabric defined. Miro: [link].

Data Architecture 76

Data Architecture Metadata Data Warehouse Sales 76

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 currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 72

Dashboards Data Warehouse Visualization Data Processing 72

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

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 75

ROI Data Warehouse Advertising Data Processing 75

Smart Data Collective

NOVEMBER 18, 2020

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. Where to Use Data Mining?

Data mining 143

Data mining Data Science Informatics Statistics 143

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 73

ROI Data Warehouse Advertising Data Processing 73

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

Data Lake 99

Data Lake Sales Data Warehouse Snapshot 99

Sisense

OCTOBER 10, 2019

Once Amazon Web Services and its cloud-storage-as-a-service model hit the tech world, what it meant to be a data engineer changed forever. Now all tech and all data is all about the cloud. Today I’m going to talk about how the cloud changed everything and what else this technology will bring to the table. That’s the past.

Data Processing 60

Data Processing Data Warehouse Digital Transformation Software 60

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Fern Halper, Ph.D.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Smart Data Collective

JANUARY 22, 2020

Large business players appreciate the opportunity to save money on the acquisition and maintenance of their own data storage infrastructure. The movement towards cloud technologies is perceived as an undoubtedly positive trend that facilitates all aspects of human interaction with information systems. How will they affect the industry?

Data Processing 57

Data Processing Measurement Risk Data Warehouse 57

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 40

ROI Data Warehouse Advertising Data Processing 40

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 40

ROI Data Warehouse Advertising Data Processing 40

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. Minimizing Risk Exposure with Data Intelligence.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

Data Lake 76

Data Lake Metadata Data Processing Big Data 76

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

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. Power BI Desktop opens a new era in data analysis and reporting. When: September 16th – 18th, 2019.

Dashboards 71

Dashboards Reporting Data Warehouse Visualization 71

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 This is due to the technical nature of a data system itself.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Sisense

OCTOBER 6, 2020

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Advanced technology and new approaches are needed.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift RA3 with managed storage is the newest instance type for Provisioned clusters.

Testing 63

Testing Data Warehouse Data Processing Snapshot 63

Cloudera

MAY 2, 2018

Global Technology Partner of the Year. Qonnections is the premier Business Intelligence (BI) conference that brings data lovers together to share insights and discover data in new ways.

Analytics 45

Analytics Business Intelligence Data Science Data Processing 45

Cloudera

SEPTEMBER 12, 2018

Last night we kicked it off with the sixth annual Data Impact Awards Celebration. These awards recognize organizations that transform complex data into actionable insights and illustrate impact to technology, science, health, lifestyle, and community across a wide variety of industries.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Howard Dresner

JANUARY 4, 2015

A lack of understanding about technology can breed distrust. He hosts a weekly tweet chat (#BIWisdom) on Twitter each Friday. So let’s look at why a BI initiative sometimes doesn’t fully deliver on its promise. Failures, after all, are very instructive. And good communications between all involved can reduce misunderstanding up front.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

Sisense

FEBRUARY 17, 2021

With more people becoming digital citizens, the ability for an application to explode in popularity has all but rendered obsolete the traditional IT hosting mindset of discrete servers performing discrete tasks. Let’s dig into three hosting models that help organizations achieve cloud flexibility.

Data Processing 52

Data Processing Modeling Technology IT 52

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections.

Analytics 57

Analytics Data-driven Management Reporting 57

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. 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 Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

CIO Business Intelligence

MARCH 16, 2022

King Price, a South Africa-based, privately held short-term insurance provider, were able to radically transform their business strategy, increasing system resilience, customer expansion and market adaptability in the process of adopting cloud technology. CIO Africa: What are some of the biggest tech trends making a mark on your industry?

Insurance 105

Insurance Cost-Benefit Data Processing Strategy 105

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Domino Data Lab

APRIL 3, 2019

For definitions, let’s start with a standard textbook/encyclopedia definition: “Data governance encompasses the people, processes, and information technology required to create a consistent and proper handling of an organization’s data across the business enterprise. ”. Some of the finer points seem amorphous at best.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84