datapine

AUGUST 21, 2019

With a host of interactive sales graphs and specialized charts, this sales graph template is a shining example of how to present sales data for your business. 45% of today’s businesses run at least some of their big data workloads in the cloud. A versatile dashboard for use on a daily, weekly, and monthly basis.

Sales 235

Sales Dashboards Visualization KPI 235

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

datapine

DECEMBER 17, 2019

But in this digital age, dynamic modern IT reports created with a state-of-the-art online reporting tool are here to help you provide viable answers to a host of burning departmental questions. Quality over quantity: Data quality is an essential part of reporting, particularly when it comes to IT.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

Cloudera

NOVEMBER 26, 2020

This year’s Data Impact Awards were like none other that we’ve ever hosted. The Data Enrichment team within Experian’s B2B business unit (BIS) is responsible for maintaining data quality and reliability. Automating processes to better serve customers .

B2B 105

B2B Machine Learning Big Data Data-driven 105

datapine

MAY 31, 2022

Instead of installing software on your own servers, SaaS companies enable you to rent software that’s hosted, this is typically the case for a monthly or yearly subscription fee. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

APRIL 5, 2019

A team of researchers from Malaysia addressed the role of big data in property management in a globally renowned paper from Research Gate in November. The Benefits of Data Analytics in the Age-Old Property Management Industry. In a nutshell, analytics is the process of collecting, processing, and analyzing data.

Data Analytics 102

Data Analytics Management Analytics Advertising 102

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

Octopai

JANUARY 31, 2021

This podcast centers around data management and investigates a different aspect of this field each week. Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

AWS Big Data

MAY 7, 2024

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

Metadata 86

Metadata Data Lake Data Processing Data-driven 86

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. AWS services like AWS Lake Formation in conjunction with Atlan help govern data access and policies.

Data-driven 106

Data-driven Data Lake Data Quality Data Governance 106

CIO Business Intelligence

APRIL 25, 2022

The eight-week fundamentals of data science program teaches students the skills necessary for extracting, analyzing, and processing data using Google Analytics, SQL, Python, Tableau, and machine learning. Cost: €4,995 to €5,595 for the full-stack data science program; €1,295 for data essentials. Switchup rating: 5.0 (out

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

datapine

MARCH 27, 2019

By managing customer data the right way, you stand to reap incredible rewards. Download right here your quick summary of the customers’ data world! Customer data management is the key to sustainable commercial success. What Is Customer Data Management (CDM)? Net Promoter Score. Customer Effort Score.

Management 129

Management Data-driven Dashboards Visualization 129

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Data: the foundation of your foundation model Data quality matters. When objectionable data is identified, we remove it, retrain the model, and repeat.

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

IBM Big Data Hub

JANUARY 9, 2024

Data ingestion must be done properly from the start, as mishandling it can lead to a host of new issues. The groundwork of training data in an AI model is comparable to piloting an airplane. The entire generative AI pipeline hinges on the data pipelines that empower it, making it imperative to take the correct precautions.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). In his spare time, Chanpreet loves to explore nature, read, and enjoy with his family.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

AWS Big Data

DECEMBER 13, 2023

For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users. BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). Although this framework met their ETL objectives, it was difficult to maintain and upgrade.

Metadata 100

Metadata Data Lake Visualization Data Quality 100

Cloudera

SEPTEMBER 6, 2022

Optimization Data lakehouse is the platform wherein the data assets reside. It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. This is not a single repository, nor is it limited to the storage function.

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Predictive Analytics Data Processing 56

IBM Big Data Hub

MAY 8, 2023

Technology-centric governance To mitigate the technological risk, the IT governance should be expanded to account for the following: An expanded data and system taxonomy. This is to ensure the AI model captures data inputs and usage patterns, required validations and testing cycles, and expected outputs.

Insurance 68

Insurance Risk Testing Data Quality 68

Alation

JULY 6, 2021

Automated governance tracks data lineage so users can see data’s origin and transformation. Auto-tracked metrics guide governance efforts, based on insights around data quality and profiling. This empowers leaders to see and refine human processes around data. No Data Leadership. Data Quality.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

MAY 19, 2022

Gartner shared that organizations today are using active metadata to enable data fabric , identify data drift , and locate new categories of data. Leverage small data. It’s not just about big data anymore! So what should people struggling with low-quality data do? action, dramatically.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. With a remote runtime, they can deploy ETL/ELT pipelines on both AWS and GCP, enabling seamless data integration and orchestration across multiple clouds.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

IBM Big Data Hub

DECEMBER 20, 2023

Infrastructure: Determine where your AI systems will be hosted and how they will be scaled. As your organization uses different datasets to apply machine learning and automation to workflows, it’s important to have the right guardrails in place to ensure data quality, compliance, and transparency within your AI systems.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

IBM Big Data Hub

DECEMBER 4, 2023

Specifically, to ensure the accuracy of data, organizations should test the following variables: Data archive: Make sure older data that might not have been imported to Oracle is archived securely and is easy to access. Data quality: Ensure migrated data is clean, correct and current.

Testing 71

Testing Consulting Digital Transformation Cost-Benefit 71

AWS Big Data

NOVEMBER 16, 2023

The data between these data warehouses is shared via Amazon Redshifts data sharing and allows you to consume data from a consumer data warehouse even if the provider data warehouse is inactive. Raw Data Vault – The RDV data warehouse hosts hubs, links, and satellite tables.

Enterprise 96

Enterprise Data Warehouse Snapshot Cost-Benefit 96

AWS Big Data

APRIL 25, 2023

Unifying our solution We were previously using Qlikview, Sisense, Tableau, SAP, and Excel to analyze our data across different teams. We were already using other AWS services and learning about QuickSight when we hosted a Data Battle with AWS, a hybrid event for more than 230 Dafiti employees.

Visualization 52

Visualization IT Data-driven Reporting 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. where performance and data quality is imperative? Tools there are a plenty.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jim Harris

MARCH 9, 2022

OCDQ Radio is an audio podcast about data quality and its related disciplines, produced and hosted by Jim Harris. Podcast Episodes on Big Data and Data Science. This post is part of my Best of OCDQ Radio series, organizing groups of episodes by topic(s).

Big Data 52

Big Data Data Science Data Quality Data Processing 52

datapine

MAY 17, 2021

In the digital age, those who can squeeze every single drop of value from the wealth of data available at their fingertips, discovering fresh insights that foster growth and evolution, will always win on the commercial battlefield. Moreover, 83% of executives have pursued big data projects to gain a competitive edge.

Visualization 161

Visualization Data-driven Business Intelligence Dashboards 161

AWS Big Data

DECEMBER 18, 2023

There are multiple tables related to customers and order data in the RDS database. Amazon S3 hosts the metadata of all the tables as a.csv file. This is especially true when you are processing millions of items and you expect data quality issues in the dataset.

Metadata 128

Metadata Visualization Data-driven Data Lake 128

AWS Big Data

OCTOBER 31, 2024

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data.

Digital Transformation 104

Digital Transformation Metadata Data Quality Manufacturing 104

AWS Big Data

MARCH 12, 2025

Also make sure that you have at least 7 GB of disk space for the image on the host running Docker. He is passionate about helping customers solve issues related to their ETL workload and implementing scalable data processing and analytics pipelines on AWS. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Testing 100

Testing Visualization Data Integration Interactive 100

AWS Big Data

FEBRUARY 25, 2025

Amazon EC2 to host and run a Jenkins build server. Solution walkthrough The solution architecture is shown in the preceding figure and includes: Continuous integration and delivery ( CI/CD) for data processing Data engineers can define the underlying data processing job within a JSON template.

Data Processing 52

Data Processing Machine Learning Data-driven Cost-Benefit 52