AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 95

Analytics Visualization Data Integration Cost-Benefit 95

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

IT 95

IT Visualization Machine Learning Data Integration 95

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 77

Data Lake Visualization Dashboards Insurance 77

AWS Big Data

DECEMBER 21, 2023

Movement of data across data lakes, data warehouses, and purpose-built stores is achieved by extract, transform, and load (ETL) processes using data integration services such as AWS Glue. AWS Glue provides both visual and code-based interfaces to make data integration effortless.

Analytics 95

Analytics IT Data Lake Visualization 95

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 87

Metadata Data Lake Visualization Data Transformation 87

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

AWS Big Data

NOVEMBER 7, 2023

Third, AWS continues adding support for more data sources including connections to software as a service (SaaS) applications, on-premises applications, and other clouds so organizations can act on their data. This integration empowers users to go from data to predictions and visualizations faster than ever.

Dashboards 75

Dashboards Data-driven Data Integration Data Lake 75

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 99

Metadata Dashboards Metrics Visualization 99

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

DataKitchen

APRIL 28, 2021

In Figure 1, the nodes could be sources of data, storage, internal/external applications, users – anything that accesses or relates to data. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery.

Statistics 246

Statistics Optimization Technology Data Analytics 246

Octopai

SEPTEMBER 27, 2023

Overview: The Octopai-Databricks Synergy: Real-Time Data Lineage Maps for Databricks: Real-time data lineage facilitates instant insights into data journeys, providing clarity on how data evolves and interlinks. This lets Octopai create real-time maps that show how data moves and connects.

Metadata 52

Metadata Visualization Data Integration Data-driven 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

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 .

Testing 300

Testing Machine Learning Consulting Data Quality 300

FineReport

APRIL 9, 2024

In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges. The fragmented nature of healthcare systems often results in disparate data sources that hinder efficient decision-making processes.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

FineReport

JULY 18, 2022

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. Finally, the budget can not be ignored.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. But if you are working in a company with complex business, I suggest you distinguish between business intelligence and data analytics. Definition.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. So, make sure you have a data strategy in place. Data Integration.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Smarten

APRIL 19, 2024

Data Integration – Businesses can incorporate storage and data security services and infrastructure, thereby making it easier to avoid data silos and to achieve data integration and single-point-of-contact data analytics.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

JANUARY 15, 2024

Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices. Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions.

Digital Transformation 78

Digital Transformation Internet of Things IoT Consulting 78

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Ontotext

AUGUST 22, 2023

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. Get these wrong and chances are your enterprise processes and systems will suffer.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Data Security.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Sisense

DECEMBER 15, 2020

To get their answers, businesses typically rely on data sources that are all internal, showing decision-makers only part of the picture. Today, through a strategic partnership, Signals Analytics and Sisense are making it easy to incorporate external data analytics into a company’s main BI environment. Step 3: Visualize.

Enterprise 52

Enterprise Analytics Sales ROI 52

datapine

FEBRUARY 22, 2022

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. Rely on interactive data visualizations. Because it is that important. click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

BizAcuity

SEPTEMBER 16, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Dashboards 69

Dashboards Visualization Key Performance Indicator Business Intelligence 69

Jedox

FEBRUARY 13, 2020

The power of artificial intelligence (AI) lies within its ability to make sense of large amounts of data. For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. Here’s how our tool makes it work.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. But if you are working in a company with complex business, I suggest you distinguish between business intelligence and data analytics. Definition.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

AWS Big Data

MAY 1, 2024

AWS Glue is a fully managed, serverless data integration service provided by Amazon Web Services (AWS) that uses Apache Spark as one of its backend processing engines (as of this writing, you can use Python Shell , Spark , or Ray ). Then, those logs are parsed, and you can use the AWS Glue serverless Spark UI to visualize them.

Broadcasting 78

Broadcasting Optimization Metrics Interactive 78

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Dashboards 61

Dashboards Visualization Key Performance Indicator Business Intelligence 61

AWS Big Data

JANUARY 12, 2024

We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. This solution is suitable for customers who don’t require real-time ingestion to OpenSearch Service and plan to use data integration tools that run on a schedule or are triggered through events.

Data Lake 93

Data Lake Cost-Benefit Visualization Structured Data 93

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider.

Recreation/Entertainment 85

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 85