Juice Analytics

MAY 11, 2020

Dresner Advisory Services’ report about self-service business intelligence uncovered a surprising result. Among all the technologies and initiatives that respondents consider important, the item that topped the list was reporting. But seriously, reporting? How can you not think of "TPS Reports"? Let that sink in.

Reporting 115

Reporting Analytics IT Data Lake 115

Corinium

APRIL 9, 2019

Download the Report. The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?”

Unstructured Data 150

Unstructured Data Data Lake Big Data Data Collection 150

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 87

Data Lake Big Data Consulting Data Warehouse 87

AWS Big Data

JANUARY 12, 2024

Ingestion: Data lake batch, micro-batch, and streaming Many organizations land their source data into their data lake in various ways, including batch, micro-batch, and streaming jobs. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.

Data Lake 98

Data Lake Cost-Benefit Visualization Structured Data 98

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. The email is formatted via HTML output that provides tables for the aggregated job run data.

Reporting 71

Reporting Metrics Optimization Data Lake 71

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 114

Optimization Snapshot Data Lake Metadata 114

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metrics 99

Metrics Data Lake Cost-Benefit Dashboards 99

AWS Big Data

FEBRUARY 7, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Apache Hudi supports ACID transactions and CRUD operations on a data lake. You don’t alter queries separately in the data lake.

Data Lake 75

Data Lake Testing Big Data Structured Data 75

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. QuickSight lets you perform aggregate calculations on metrics for deeper analysis.

Metrics 109

Metrics Visualization Dashboards Interactive 109

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical.

Data Quality 65

Data Quality Data Lake Data Warehouse Data-driven 65

CIO Business Intelligence

JULY 26, 2023

That data team, dubbed ’73 after Re/Max’s 1973 founding year, has about 30 IT pros building sophisticated data architectures and advanced applications, including a cloud-native stack that has been running on AWS for several years. minutes from the moment the property is listed. billion in 2022, resource industries $82.1

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. In AWS Cost Explorer , you want to create cost reports for Redshift Serverless by department, environment, and cost center. Create cost reports. Choose Create new report. Choose Create Report.

Data Warehouse 87

Data Warehouse Management Snapshot Data Lake 87

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. This post is Part 6 of a six-part series of posts to explain how AWS Glue Data Quality works. Choose Create new report. Choose Apply.

Data Quality 93

Data Quality Measurement Testing Visualization 93

AWS Big Data

FEBRUARY 6, 2023

The Amazon EMR TCO report with the new Amazon EMR design can demonstrate the Amazon EMR migration with detailed cost saving and business benefits. Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

MAY 15, 2024

By extracting detailed information from CloudTrail and querying it using Athena, this solution streamlines the process of data collection, analysis, and reporting of EIP usage within an AWS account. Additionally, you can analyze activity logs with AWS CloudTrail Lake and Amazon Athena.

Snapshot 86

Snapshot Optimization Data Lake Reporting 86

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. Data quality check – The data quality module enables you to perform quality checks on a huge amount of data and generate reports that describe and validate the data quality.

Metadata 92

Metadata Data Lake Visualization Data Transformation 92

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Using Big Data to Fix Your Biggest Problems as a Business Owner.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Jet Global

OCTOBER 30, 2020

For leaders in the finance and accounting department, it can often be frustrating to have conversations with IT experts about your reporting needs. Reporting: A Few Technical Basics. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.”

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Cloudera

DECEMBER 14, 2021

However, the CBA is a huge institution with 15 million customers and 700M daily transactions — managing the growing influx of data was challenging. . To simplify and partly automate things, the organization worked with Cloudera to collect and send 250+ insight reports straight to the government’s offices.

Data Lake 106

Data Lake Machine Learning Big Data Data-driven 106

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

JUNE 20, 2022

To date, the company, which primarily manufactures elevators for corporate buildings but also has some residential units in its portfolio, also reports a reduction in technician site visits of between 10% and 15% and a drop in call backs of between 10% and 20%. based company’s elevators smarter. From the edge to the cloud.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 78

Data Lake Testing Interactive Unstructured Data 78

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Overlapping with the above, from around 2012, I began to get involved in also designing and implementing Big Data Architectures; initially for narrow purposes and later Data Lakes spanning entire enterprises.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 73

Data Lake Testing Snapshot Sales 73

AWS Big Data

JUNE 28, 2023

When data is used to improve customer experiences and drive innovation, it can lead to business growth. times more likely than beginners to report at least 20% revenue growth. However, to realize this growth, managing and preparing the data for analysis has to get easier.

Analytics 71

Analytics Data Warehouse Data Lake Data-driven 71

AWS Big Data

JULY 19, 2023

Conclusion In this post, we showed how to use AWS Glue and the new connector for ingesting data from Google Cloud Storage to Amazon S3. This connector provides access to Google Cloud Storage, facilitating cloud ETL processes for operational reporting, backup and disaster recovery, data governance, and more.

Big Data 85

Big Data Software Consulting Unstructured Data 85

BizAcuity

MAY 16, 2022

To stay relevant in the market and to increase brand awareness, organizations use big data analytics and business intelligence to navigate their way after getting a full understanding of their ideal customers and their behavior before and during the buying journey. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data. How data enhances product development.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

FineReport

MARCH 24, 2024

The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

JULY 28, 2023

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. For information on how to upgrade a connector, see Updating a data source connector. Let’s dive into the solution.

Big Data 82

Big Data Data Architecture Data Lake Interactive 82

CIO Business Intelligence

MAY 12, 2022

Predictive analytics tools blend artificial intelligence and business reporting. SPSS Modeler is a drag-and-drop tool for creating data pipelines that lead to actionable insights. The tool builds heavily on business intelligence and reporting by treating predictions as just another column in the analytics presentation.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137