datapine

NOVEMBER 27, 2019

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. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

KDnuggets

NOVEMBER 24, 2021

Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises.

Data Integration 160

Data Integration Enterprise Business Intelligence Data Analytics 160

CIO Business Intelligence

MAY 6, 2025

While not uncommon in modern enterprises, this reality requires IT leaders to ask themselves just how accessible all that data is. Particularly, are they achieving real-time data integration ? For AI to deliver accurate insights and enable data-driven decision-making, it must be fed high-quality, up-to-date information.

Data Integration 52

Data Integration Metadata Data-driven Modeling 52

AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

AWS Big Data

DECEMBER 4, 2024

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

Analytics Vidhya

JUNE 13, 2024

However, working with LLMs can be challenging, requiring developers to navigate complex prompting, data integration, and memory management tasks. This is where Langchain comes into play, a powerful open-source Python framework designed to […] The post A Comprehensive Guide on Langchain appeared first on Analytics Vidhya.

Data Integration 381

Data Integration Modeling Management Analytics 381

AWS Big Data

APRIL 30, 2024

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

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Data Integration Data Lake Data Warehouse Software 128

CIO Business Intelligence

OCTOBER 20, 2023

But adopting modern-day, cutting-edge technology is only as good as the data that feeds it. Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets.

Data Integration 130

Data Integration Management Testing Cost-Benefit 130

David Menninger's Analyst Perspectives

FEBRUARY 10, 2022

Migrating to the cloud does not solve the problems associated with performing analytics and business intelligence on data stored in disparate systems. Also, the computing power needed to process large volumes of data consists of clusters of servers with hundreds or thousands of nodes that can be difficult to administer.

Analytics 246

Analytics Business Intelligence Metrics Reporting 246

Analytics Vidhya

JULY 29, 2022

Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. The post ETL Pipeline with Google DataFlow and Apache Beam appeared first on Analytics Vidhya. Building an ETL pipeline using Apache […].

Data Science 383

Data Science Data Integration Publishing Analytics 383

Analytics Vidhya

NOVEMBER 30, 2021

Introduction to ETL ETL is a type of three-step data integration: Extraction, Transformation, Load are processing, used to combine data from multiple sources. It is commonly used to build Big Data. In this process, data is pulled (extracted) from a source system, to […].

Big Data 382

Big Data Data Science Data Integration Publishing 382

AWS Big Data

JANUARY 6, 2025

Google Analytics 4 (GA4) provides valuable insights into user behavior across websites and apps. But what if you need to combine GA4 data with other sources or perform deeper analysis? It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

CIO Business Intelligence

MARCH 19, 2025

How do companies ensure their data landscape is ready for the future? Particularly when it comes to new and emerging opportunities with AI and analytics, an ill-equipped data environment could be leaving vast amounts of potential by the wayside. All of this complexity creates a challenge.

Data Integration 52

Data Integration Data Quality Visualization Optimization 52

Analytics Vidhya

JUNE 24, 2024

They help in ensuring data integrity and establishing relationships between tables. It links various data points across tables to ensure smooth database operations. appeared first on Analytics Vidhya. Among the different SQL keys, the foreign key is what maintains the relational structure of the database.

Data Integration 318

Data Integration Management Analytics IT 318

Analytics Vidhya

MARCH 16, 2023

Introduction The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to another.

Data Integration 348

Data Integration Analytics Data Processing Machine Learning 348

AWS Big Data

SEPTEMBER 4, 2024

The rapid adoption of software as a service (SaaS) solutions has led to data silos across various platforms, presenting challenges in consolidating insights from diverse sources. Introducing the Salesforce connector for AWS Glue To meet the demands of diverse data integration use cases, AWS Glue now supports SaaS connectivity for Salesforce.

Data Integration 109

Data Integration Data Lake Data-driven Cost-Benefit 109

CIO Business Intelligence

OCTOBER 19, 2023

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. Data integration needs an overhaul, which can only be achieved by considering the following gaps. K2view uses its patented entity-based synthetic data generation approach.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

Analytics Vidhya

JUNE 20, 2024

Comprehending super keys facilitates the maintenance of data integrity and record uniqueness in relational databases. It also covers […] The post Super Key in DBMS appeared first on Analytics Vidhya. This article provides a detailed explanation of super keys, their characteristics, types, and practical applications.

Data Integration 305

Data Integration Management Analytics IT 305

Analytics Vidhya

JUNE 18, 2024

Introduction With a focus on data integrity and effective retrieval, this article offers a thorough description of primary keys in a database management system (DBMS). It covers types of primary keys, their creation and implementation, and practical applications.

Data Integration 305

Data Integration Management Analytics IT 305

Analytics Vidhya

JULY 8, 2024

It offers an array of built-in commands that can handle transactions, ensuring data integrity and consistency. In this […] The post Difference Between SQL Commit and SQL Rollback appeared first on Analytics Vidhya. Two most commonly used commands in this context are COMMIT and ROLLBACK.

Data Integration 303

Data Integration Management Analytics IT 303

Analytics Vidhya

JULY 1, 2024

They ensure data integrity and efficient data retrieval in databases. appeared first on Analytics Vidhya. Among the various types of keys, composite keys are particularly significant in complex database designs.

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Data Integration Management Analytics 303

Jet Global

DECEMBER 5, 2024

New drivers simplify Workday data integration for enhanced analytics and reporting RALEIGH, N.C. – The Simba Workday drivers provide secure access to Workday data for analytics, ETL (extract, transform, load) processes, and custom application development using both ODBC and JDBC technologies.

Data Integration 52

Data Integration Finance Data-driven Reporting 52

Analytics Vidhya

APRIL 29, 2022

Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. The data-driven workflow in ADF orchestrates and automates the data movement and data transformation.

Data-driven 328

Data-driven Data Science Data Transformation Data Integration 328

Analytics Vidhya

JUNE 26, 2023

To state the least, it is hard to imagine the world without data analysis, predictions, and well-tailored planning! 95% of C-level executives deem data integral to business strategies. appeared first on Analytics Vidhya.

Management 322

Management IT Data Integration Strategy 322

Analytics Vidhya

APRIL 1, 2024

This is a significant step in safeguarding the government’s data integrity. It adds to a series of restrictions on the use of AI tools by US government […] The post US Govt Office Bans Use Of Microsoft AI Copilot: Here’s Why appeared first on Analytics Vidhya.

Data Integration 316

Data Integration Analytics IT 316

Analytics Vidhya

SEPTEMBER 23, 2024

This is where automated data quality checks come into play, offering a scalable solution to maintain data integrity and reliability. At my organization, which collects large volumes of […] The post Automating Data Quality Checks with Dagster and Great Expectations appeared first on Analytics Vidhya.

Data Quality 271

Data Quality Data-driven Data Integration Analytics 271

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 324

Management Data Warehouse Data Quality Data Integration 324

AWS Big Data

JULY 10, 2024

Now you can author data preparation transformations and edit them with the AWS Glue Studio visual editor. The AWS Glue Studio visual editor is a graphical interface that enables you to create, run, and monitor data integration jobs in AWS Glue. In this scenario, you’re a data analyst in this company.

Interactive 116

Interactive Data Integration Visualization Statistics 116

Analytics Vidhya

AUGUST 22, 2023

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT).

Data-driven 269

Data-driven Data Integration Analytics 269

Smarten

FEBRUARY 26, 2025

Low Code No Code Development Supports Analytics Performance Within the very near future, it is estimated that 70% of all software and application design will include a component of low-code or no-code development. So, it is no surprise that analytics software and tools are also affected by this trend.

Analytics 63

Analytics Cost-Benefit Visualization ROI 63

DataKitchen

NOVEMBER 5, 2024

The Silver layer aims to create a structured, validated data source that multiple organizations can access. This intermediate layer strikes a balance by refining data enough to be useful for general analytics and reporting while still retaining flexibility for further transformations in the Gold layer.

Data Quality 198

Data Quality Testing Metrics Reporting 198

Jet Global

NOVEMBER 20, 2024

Organizations can now streamline digital transformations with Logi Symphony on Google Cloud, utilizing BigQuery, the Vertex AI platform and Gemini models for cutting-edge analytics RALEIGH, N.C. – “insightsoftware can continue to securely scale and support customers on their digital transformation journeys.”

Analytics 59

Analytics Digital Transformation Business Intelligence Data-driven 59

Smarten

MAY 2, 2025

Enhanced dashboards and interactive visualizations enabled real-time performance monitoring, and streamlined workflows, and identified performance gaps, while ensuring data integrity and consistency across all divisions and operations. Download the Case study

Analytics 52

Analytics Manufacturing Dashboards Data Integration 52

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 124

Analytics Visualization Data Integration Cost-Benefit 124

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Data observability is a key aspect of data operations (DataOps), which focuses on the application of agile development, DevOps and lean manufacturing by data engineering professionals in support of data production. The ability to monitor and measure improvements in data quality relies on instrumentation.

Data Quality 130

Data Quality Dashboards Data-driven Software 130