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. Analytical tools are used to achieve user understanding and comfort.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.” billion in revenue.

Digital Transformation 124

Digital Transformation IoT Data-driven KPI 124

AWS Big Data

JANUARY 24, 2023

Business teams can gain meaningful insights by simplifying their reporting through web applications and distributing it to a broader audience. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results.

Analytics 57

Analytics Data-driven Management Reporting 57

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

Andrew White

DECEMBER 9, 2019

The outline of the call went as follows: I was taking to a central state agency who was organizing a data governance initiative (in their words) across three other state agencies. All four agencies had reported an independent but identical experience with data governance in the past. Analytical quality and analytics.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

Cloudera

DECEMBER 9, 2020

It’s been a few weeks since we celebrated the 2020 Data Impact Awards, and everyone at Cloudera is still on a high. It was a brilliant event, and we are so pleased we were able to celebrate our fantastic customers virtually. The Connect the Data Lifecycle award was our fifth award at this year’s ceremony.

Predictive Modeling 69

Predictive Modeling Data Warehouse Enterprise Management 69

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 93

Data Warehouse Snapshot Testing Management 93

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

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. Modern analytics is much wider than SQL-based data warehousing. Analyze the assessment report and address the action items.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

AWS Big Data

JUNE 6, 2023

Unless, of course, the rest of their data also resides in the Google Cloud. In this post we showcase how we used AWS Glue to move siloed digital analytics data, with inconsistent arrival times, to AWS S3 (our Data Lake) and our central data warehouse (DWH), Snowflake.

Analytics 56

Analytics Data Lake Testing Optimization 56

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 67

Data Warehouse Cost-Benefit KPI Risk 67

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. or higher version) database.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. For many enterprises, Microsoft Azure has become a central hub for analytics.

Data Lake 110

Data Lake Analytics Data Warehouse Machine Learning 110

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. Analytical tools are used to achieve user understanding and comfort.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. You can subscribe to data products that help enrich customer profiles, for example demographics data, advertising data, and financial markets data. faster time to market, and 19.1%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

JANUARY 24, 2023

This utility can detect any changes made to the Data Catalog metadata, databases, tables, and columns while replicating the Data Catalog from the source to the target Region. The utility reports the number of objects modified during its run. All relevant events are then stored in a DynamoDB table.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

CIO Business Intelligence

MAY 24, 2022

Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. zettabytes of data.

Data-driven 80

Data-driven Data Lake Data Warehouse Cost-Benefit 80

IBM Big Data Hub

MAY 9, 2023

We are also building models trained on different types of business data, including code, time-series data, tabular data, geospatial data and IT events data. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. In data-driven organizations, data is flowing. And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

IBM Big Data Hub

OCTOBER 27, 2022

Left to their own devices, they had resorted to using legacy reporting tools such as Excel that required manual gathering, slicing and dicing of data. Consequently, this data was siloed, unshareable, hard to use, lacked quality and governance controls, and could not be used in automated processes.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Open the function and configure a test event, with the default hello-world template event JSON as seen in the following screenshot. SELECT * FROM "deltalake_2438fbd0"."employee"

Data Lake 70

Data Lake Testing Snapshot Sales 70

AWS Big Data

FEBRUARY 22, 2023

AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code. Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. This design philosophy was adapted from our friends at Fishtown Analytics.).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

MARCH 3, 2023

Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights. Each of these tools has its own reporting capabilities that make it difficult to combine the data for integrated and actionable business insights. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology.

Machine Learning 91

Machine Learning Cost-Benefit IoT Data Warehouse 91

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. The following table summarizes the features.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

O'Reilly on Data

SEPTEMBER 11, 2019

Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. Data engineering is an intense focus of interest and innovation, with data-in-motion—e.g., stream, time-series—starting to displace the batch-centric, data-at-rest paradigm.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Smart Data Collective

OCTOBER 13, 2021

If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Apache Flink is a distributed processing engine for stateful computations ideally suited for real-time, event-driven applications. In 2020, to address this need, Apache Flink was added to the Cloudera Stream Processing offering.

Data Lake 84

Data Lake Manufacturing Metadata Dashboards 84

Cloudera

MAY 3, 2021

In 2020, a McKinsey study reported that “Industry 4.0 Contrast this with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL). Benefits of Streaming Data for Business Owners.

Cost-Benefit 100

Cost-Benefit Digital Transformation Data Lake Enterprise 100

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications.

Data Lake 83

Data Lake Data Transformation Cost-Benefit Data-driven 83

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 101

Unstructured Data Cost-Benefit Metadata Machine Learning 101

Jet Global

NOVEMBER 16, 2022

While reports are important, many board members aren’t taking the contents of board reports to mind. Having easy-to-read and straightforward board reports is something many companies can work on to forward their vision. How can you help your company get ahead with comprehensive board reporting that hits home?

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94