AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

FineReport

APRIL 15, 2020

Everyone is now paying attention to the epidemic data of various places. Everyone is now paying attention to the epidemic data of various places. To view the data we are concerned about more efficiently, of course, you have noticed the epidemic screens on various websites. How to F ind the D ata you W ant?

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Dashboards Visualization Publishing Software 98

AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

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Metadata Dashboards Visualization Consulting 52

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 72

Metadata Data Lake Data Processing Data-driven 72

DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

MARCH 18, 2024

It always pays to know more about your customers, and AWS Data Exchange makes it straightforward to use publicly available census data to enrich your customer dataset. The United States Census Bureau conducts the US census every 10 years and gathers household survey data.

Data Warehouse 78

Data Warehouse Visualization Snapshot Data-driven 78

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? Maybe it’s surprising that ChatGPT can write software, maybe it isn’t; we’ve had over a year to get used to GitHub Copilot, which was based on an earlier version of GPT. It’s clear that ChatGPT is not your run-of-the-mill automated chat server.

IT 262

IT Modeling Testing Risk 262

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. In AWS ProServe-led customer engagements, the use cases we work on usually come with technical complexity and scalability requirements.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain.

Data Lake 76

Data Lake Data Analytics Analytics Data Processing 76

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. A solution to this problem is to use AWS Database Migration Service (AWS DMS) for migrating historical and real-time transactional data into the data lake.

Data Lake 79

Data Lake Dashboards Metrics Metadata 79

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. But you may not actually know what it really meant because many people use it as a buzzword! In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

datapine

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes.

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Reporting Cost-Benefit Dashboards Visualization 260

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. Create a DataBrew recipe Start by registering the data store for the claims file.

Visualization 78

Visualization Cost-Benefit Data Quality Interactive 78

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Apache Iceberg 1.2.0, and Delta Lake 2.3.0.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

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Data Quality Data Governance Metadata Metrics 98

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up. Small queries are part of many common use cases: Financial summary reporting with the end of quarter or end of year results.

Optimization 142

Optimization Metadata Statistics Cost-Benefit 142

Cloudera

JANUARY 21, 2022

The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Each layer is defined as follows: These multiple layers of security are applied in order to ensure the confidentiality, integrity and availability of data to meet the most robust of regulatory requirements.

Data Processing 106

Data Processing Management Cost-Benefit Finance 106

FineReport

JULY 18, 2022

In an era full of data, data analysis allows us to discover the most useful information and make more scientific decisions for business operations. Data analysis tools are widely used by data analysts as well as non-professional business people to achieve better performance and higher efficiency.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

OCTOBER 4, 2023

Amazon EMR provides a managed Hadoop framework that makes it straightforward, fast, and cost-effective to process vast amounts of data using EC2 instances. Amazon EMR with Spot Instances allows you to reduce costs for running your big data workloads on AWS. Also, failed queries had to be restarted from scratch. and above.

Big Data 78

Big Data Optimization Data-driven Management 78

Cloudera

JANUARY 11, 2021

Over the last few weeks, I delivered four live NiFi demo sessions, showing how to use NiFi connectors and processors to connect to various systems, with 1000 attendees in different geographic regions. MiNiFi are agents used to collect subsets of data from sensors and devices situated in remote locations.

Data Processing 59

Data Processing Interactive ROI Data Warehouse 59

AWS Big Data

APRIL 5, 2023

Amazon Redshift is a massively parallel processing (MPP), fully managed petabyte-scale data warehouse that makes it simple and cost-effective to analyze all your data using existing business intelligence tools. Solution overview The following diagram describes the solution architecture.

Data Warehouse 73

Data Warehouse Management Business Intelligence Testing 73

Jet Global

OCTOBER 14, 2022

A simple example of this would be that Sales holds data around which products sell fastest and trends in customer buying behavior. If they keep this data siloed, then Procurement and Finance would not know to order more units or build that capacity in future budgets. The US has been hit hard. Break Down Silos. Inefficiency.

Finance 52

Finance Reporting Operational Reporting Forecasting 52

Jet Global

NOVEMBER 18, 2022

For enterprise reporting globally, Oracle Essbase does a great job maintaining the underlying financial data. But when it comes to making sense of this data – organizing, visualizing, and finding the narrative – Essbase has limited capabilities. And without the need for expensive business intelligence tools or IT projects.

Reporting 52

Reporting Finance Software Cost-Benefit 52

Jet Global

JULY 8, 2022

But finance professionals struggle with the tools they currently use for operational reporting. That means you more than likely aren’t using the right tools designed for your operational reporting needs, and your operational reporting isn’t what it could be. Get Faster, Meaningful Data Insights for Your Day-to-Day Questions.

Operational Reporting 52

Operational Reporting Reporting Finance Dashboards 52