Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Production Monitoring Only.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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

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. In this post, we demonstrate how Talend easily integrates with Redshift Serverless to help you accelerate and scale data analytics with trusted data.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

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 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 74

Metadata Data Lake Data Processing Data-driven 74

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

Jet Global

APRIL 30, 2024

Therefore, the way the embedded analytics application is hosted plays a vital role. Secure hosting ensures the data connector remains protected, minimizing the risk of unauthorized access to your sensitive information. Managed Cloud : In this setup, the analytics vendor manages the server hosting on your behalf.

Analytics 52

Analytics Data Processing Dashboards Reporting 52

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 74

Data Lake Data Warehouse Cost-Benefit Optimization 74

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

Jet Global

AUGUST 24, 2021

Enter scenario modeling. Scenario modeling is the practice of developing financial models based on several possible outcomes, and developing plans around each of those situations. Let’s look at some of the best practices for financial scenario modeling. How detailed should your scenario models be?

Modeling 52

Modeling Recreation/Entertainment Forecasting Sales 52

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 93

Data-driven Data Lake Data Quality Data Governance 93

Cloudera

SEPTEMBER 30, 2020

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.

Visualization 70

Visualization Data Warehouse Dashboards Data Processing 70

AWS Big Data

MARCH 26, 2024

Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Jet Global

APRIL 18, 2024

Concerns over high infrastructure costs for self-hosting BI and analytics for your applications can stifle growth. A cloud-hosted SaaS model reduces these expenses, freeing resources for scalability and swift adaptation without traditional financial strains. Here’s how. Infrastructure costs. Security concerns. Security concerns.

Marketing 52

Marketing Analytics Data Processing Cost-Benefit 52

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 84

Data Processing IoT Cost-Benefit Digital Transformation 84

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 102

Data Lake Sales Data Warehouse Snapshot 102

IBM Big Data Hub

AUGUST 28, 2023

This data is leveraged by departments throughout the organization and is essential to their business operations. Such data helps decide how many books to print initially and in which format, how many to print in the future, key pricing decisions and a host of other important business decisions.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

CIO Business Intelligence

JANUARY 16, 2023

All the logic is still in Java hosted on Amazon’s infrastructure.” Aside from the core cloud services, Choice also uses Amazon RedShift as a front end to its cloud data warehouse, Amazon SageMaker to build machine leaning models, and Amazon Kinesis to collect, process, and analyze real-time data.

Cost-Benefit 140

Cost-Benefit Digital Transformation Data Warehouse Data-driven 140

Cloudera

SEPTEMBER 29, 2022

They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

Jet Global

APRIL 4, 2024

Dynamics 365 Cloud is Microsoft’s software-as-a-service (SaaS) ERP solution, hosted in the cloud and protected by Microsoft’s secure servers. This is a particularly attractive feature for companies pursuing a remote work model. Removing the need to migrate legacy data. Porting information can be a painful and expensive process.

Finance 52

Finance Cost-Benefit Reporting Software 52

AWS Big Data

NOVEMBER 8, 2023

High-quality data is not just about accuracy; it’s also about timeliness. To derive meaningful insights and ensure the optimal performance of machine learning (ML) and generative AI models, data needs to be ingested and processed in real time. With real-time streaming data, organizations can reimagine what’s possible.

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

Octopai

NOVEMBER 24, 2021

As the first of its reasons why to migrate to Redshift , Amazon says, “Amazon Redshift is fully managed and simple to use, enabling you to deploy a new data warehouse in minutes and load virtually any type of data from a range of cloud or on-premises data sources.”. Setting up the data warehouse can take minutes.

Data Warehouse 73

Data Warehouse Metadata Data Processing Reporting 73

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

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

Cloudera

NOVEMBER 12, 2020

Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. A solution. One cluster contains about 800 nodes.

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Smart Data Collective

NOVEMBER 18, 2020

Data Mining Techniques and Data Visualization. Data Mining is an important research process. It hosts a data analysis competition. Practical experience. It is not very interesting to be engaged exclusively in theory, it is important to try your hand at practice. Here are some good options for doing this.

Data mining 143

Data mining Data Science Informatics Statistics 143

Sisense

OCTOBER 10, 2019

New tools were slowly introduced to deal with data as it grew in volume and complexity, but the overall landscape was largely unchanged until the rise of “The Cloud.” 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. And that’s a good thing!

Data Processing 60

Data Processing Data Warehouse Digital Transformation Software 60

Alation

JULY 13, 2021

Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. Businesses with complex data environments need a migration method that takes that complexity into account. The Data Race to the Cloud. This recent cloud migration applies to all who use data.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Jet Global

JULY 13, 2023

Get an accurate, controlled set of data to feed financial reports into Power BI with Jet Analytics – hosting available on-premises or in the cloud. Enable self-service reporting and analytics to manage and create reports for better data-driven decisions.

Reporting 52

Reporting Finance Operational Reporting Data Warehouse 52

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

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. HYBRID & MULTI-CLOUD INNOVATION.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

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