AWS Big Data

NOVEMBER 20, 2023

These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. When running properly, it provides timely and trustworthy information. The new metrics provide aggregate and fine-grained insights into the health and operations of your job runs and the data being processed.

Metrics 97

Metrics Data Lake Cost-Benefit Dashboards 97

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 70

Analytics Data Warehouse Data Lake Metadata 70

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. The data typically encompasses all transactions and operations that the business engages in.

Data Warehouse 106

Data Warehouse Testing Data Quality Reporting 106

AWS Big Data

MARCH 25, 2024

Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization. In RAG, you provide the relevant information such as most relevant policy and customer records along with the user question to the prompt.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 68

Analytics Data Warehouse Data Lake Data-driven 68

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

IBM Big Data Hub

OCTOBER 16, 2023

Most of today’s largest foundation models, including the large language model (LLM) powering ChatGPT, have been trained on information culled from the internet. But how trustworthy is that training data? Collaborative tools and dynamic user-based dashboards, charts and dimensional reporting increase visibility into AI processes.

Risk 78

Risk Modeling Management Metadata 78

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. This is the essence of Convergent Evolution. In Closing.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Andrew White

DECEMBER 9, 2019

This is a new area of innovation that needs to be understood as an intersection between: The work of data and analytics governance. The information artifacts in scope. The use case could be: Business process integrity and operational data. The use case could be: Business process integrity and operational data.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

AWS Big Data

JUNE 6, 2023

It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. AWS Glue Data Quality generates a substantial amount of operational runtime information during the evaluation of rulesets. Set up the Athena query result location.

Data Quality 70

Data Quality Metrics Visualization Dashboards 70

BizAcuity

MAY 16, 2022

In brief, business intelligence is about how well you leverage, manage and analyze business data. When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. When information is at your fingertips, the possibilities are endless.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Jet Global

OCTOBER 7, 2020

For anyone that needs to develop custom reports and dashboards, it all begins with understanding data entities. What Are Data Entities? You would need to pull those data from the line item detail of your customer invoices. Many data entities are aimed at specific areas for reporting.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Data scientists also rely on data analytics to understand datasets and develop algorithms and machine learning models that benefit research or improve business performance.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. The raw data can be streamed to Amazon S3 for archiving.

Analytics 113

Analytics IoT Data-driven Snapshot 113

Jet Global

OCTOBER 30, 2020

As you do, it’s important to understand some important technical changes that could impact your ability to get information out of the system. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.” Introducing Data Lakes.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 76

Data Lake Data Warehouse Sales Data-driven 76

Peter James Thomas

APRIL 3, 2020

I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. Here I shift attention to a later stage of the journey [4] and attempt to answer the question: “How best to deliver information to an organisation in a manner that will encourage people to use it?”

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

JUNE 6, 2023

For more information, please visit sumup.co.uk. As most organizations, that have turned to Google Analytics (GA) as a digital analytics solution, mature they discover a more pressing need to integrate this data silo with the rest of their organization’s data to enable better analytics and resulting product development and fraud detection.

Analytics 56

Analytics Data Lake Testing Optimization 56

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Self-service reporting. Drill-down capability. Exception reporting.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

IBM Big Data Hub

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Businesses today have access to more information about their customers than ever before.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

Alation

FEBRUARY 20, 2020

data, models…). reports, dashboards, charts, data…). In our industry, we tend to celebrate the hero data scientist or lone analyst, but what makes a data-driven organization successful are shared insights. . ; More than 70% of respondents ranked the top 4 collaboration features as “important”.

Marketing 52

Marketing Data Lake Dashboards Business Intelligence 52

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. For more information on job tagging, refer to AWS tags in AWS Glue.

Reporting 69

Reporting Metrics Optimization Data Lake 69

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

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 92

Data Warehouse Data Lake Analytics Data Science 92

AWS Big Data

APRIL 6, 2023

With “Empowering Investor Success” as the core motto, Morningstar aims at providing our investors and advisors with the tools and information they need to make informed investment decisions. We realized we needed a data warehouse to cater to all of these consumer requirements, so we evaluated Amazon Redshift.

Data Warehouse 84

Data Warehouse Data Lake Management Data-driven 84

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. To get started with this feature, see Querying the AWS Glue Data Catalog.

Data Analytics 92

Data Analytics Analytics Data Warehouse Data Lake 92

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 102

Data Warehouse Data Lake Analytics Machine Learning 102

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

IBM Big Data Hub

APRIL 24, 2023

Why data warehousing is critical to a company’s success Data warehousing is the secure electronic information storage by a company or organization. These solutions categorize and convert data into readable dashboards that anyone in a company can analyze.

Data Warehouse 100

Data Warehouse Data Lake Cost-Benefit Enterprise 100

Alation

FEBRUARY 20, 2020

The Alation Data Explorer allows the user to seamlessly search and browse data assets in Alation, understand them, and validate their credibility. Nearly all of the rich contextual information found in Alation Catalog—including titles, descriptions, flags, tags, and even conversations—is available within the Data Explorer Window.

Reporting 52

Reporting Dashboards Data Governance Visualization 52

AWS Big Data

FEBRUARY 13, 2024

AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. With Grafana, you can create, explore, and share visually rich, data-driven dashboards. Lastly, configure the dashboard.

Metrics 99

Metrics Dashboards Visualization Key Performance Indicator 99

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Ashish Agrawal is a Sr.

Metrics 79

Metrics Data Warehouse Dashboards Snapshot 79

AWS Big Data

NOVEMBER 29, 2023

It’s data that is the key to moving from generic applications to generative AI applications that create real value for your customers and your business. With Amazon Bedrock , you can privately customize FMs for your specific use case using a small set of your own labeled data through a visual interface without writing any code.

Data Warehouse 111

Data Warehouse Data Lake Data Integration Dashboards 111