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

CIO Business Intelligence

MARCH 22, 2024

It’s following in the footsteps of IBM and Microsoft, which like the German telco have an edge over regular companies contemplating a similar move to Rise in that they have their own clouds in which to host the applications and their own IT services divisions to make the move. Some of them are still running on ECC 6.0,

Data Processing 99

Data Processing Data Warehouse Management Software 99

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 67

Testing Data Warehouse Data Processing Snapshot 67

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This contextualization is possible thanks to RAG.

Management 67

Management Metrics Data Processing Data Lake 67

AWS Big Data

MAY 16, 2024

This will be used temporarily to hold the data from Amazon DocumentDB for data synchronization. OpenSearch hosts – Provide the OpenSearch Service domain endpoint for the host and provide the preferred index name to store the data. He has worked with building databases and data warehouse solutions for over 15 years.

Data Processing 106

Data Processing Data Warehouse Management Metrics 106

Jet Global

MAY 25, 2023

insightsoftware recently hosted a webinar on the topic of “ The Office of the CFO – A New Era: Decision Making at the Speed of Light ”. We were delighted to be joined by our client, Savings Bank Life Insurance (SBLI), to discuss the evolution of The Office of the CFO and how technology can support better decision making.

Finance 52

Finance Technology Reporting Operational Reporting 52

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

Cloudera

MAY 31, 2023

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. How can enterprises address these challenges?

Enterprise 74

Enterprise Data Processing Experimentation Modeling 74

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

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. This enables data-driven decision-making across the organization. AWS Glue – Bluestone used the AWS Glue PySpark environment for implementing data extract, transform, and load (ETL) processes.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

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 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. In this introductory article, I present an overarching framework that captures the benefits of CDP for technology and business stakeholders. Technology cost reduction / avoidance.

Cost-Benefit 79

Cost-Benefit Data Warehouse Data Processing Data Governance 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 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

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 142

Cost-Benefit Digital Transformation Data Warehouse Data-driven 142

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 85

Data Processing IoT Cost-Benefit Digital Transformation 85

Octopai

NOVEMBER 13, 2022

In the ideal modern data stack, it should be easy to connect these components and no big deal to switch one component out for another. Data lineage is the ability to view the path of data as it flows from source to target within your data ecosystem, along with everything that happened to it along the way.

Enterprise 77

Enterprise Data Warehouse Reporting Metadata 77

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Data Processing 92

Data Processing Data Warehouse Enterprise Visualization 92

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

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 92

Insurance Cost-Benefit Data Processing Strategy 92

Jet Global

MARCH 24, 2024

The task of weeding through all the cloud ERP solutions available to you is a daunting one, and you may choose to work with a technology enablement partner. Cost, operational capabilities, data security, and ongoing support are all factors to consider while choosing which cloud-based ERP is best for your business.

Reporting 52

Reporting Finance Data Warehouse Operational Reporting 52

Cloudera

AUGUST 31, 2020

With data at the heart of its business, SMG has for many years pursued the most cutting-edge data management technologies. As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. The case for a new Data Warehouse?

Slice and Dice 64

Slice and Dice Management Data Warehouse Analytics 64

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 74

Data Architecture Metadata Data Warehouse Sales 74

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 77

Dashboards Data Warehouse Visualization Data Processing 77

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

Cloudera

MARCH 22, 2022

Within that context, technology modernization will become a key prerequisite for unlocking value in M&A settings. This first article covers the benefits of Cloudera Data Platform for the integrating entities in Mergers and Acquisitions scenarios and the second article addresses Asset Divestitures / Carve-outs. .

Strategy 80

Strategy Cost-Benefit Risk Data Processing 80

IBM Big Data Hub

MARCH 25, 2022

Guest blogger: Chief Technology Officer and Co-Founder: Adam Prout. One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. Technology underpinnings of blazingly fast databases.

Data-driven 72

Data-driven Data Warehouse Data Processing Marketing 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 52

Publishing Analytics Business Intelligence Operational Reporting 52

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

Jet Global

APRIL 18, 2024

However, the right embedded analytics technology can alleviate these valid stakeholder and customer concerns. Concerns over high infrastructure costs for self-hosting BI and analytics for your applications can stifle growth. The right SaaS-hosted analytics ensure data safety and secure user partitioning in a multitenant environment.

Marketing 52

Marketing Analytics Data Processing Cost-Benefit 52

Jet Global

APRIL 4, 2024

Over the past several years, many organizations have shifted their technology focus to the cloud. Moving to the Cloud When you’re pursuing a cloud-first business strategy, it only makes sense to upgrade from on-prem technology solutions to cloud solutions.

Finance 52

Finance Cost-Benefit Reporting Software 52

Cloudera

OCTOBER 25, 2022

Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses. They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. Host-based security.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 143

Management Advertising Data Lake Sales 143

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 104

Management Advertising Data Lake Sales 104

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 105

Data Lake Sales Data Warehouse Snapshot 105