AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. All these architecture patterns are integrated with Amazon Kinesis Data Streams.

Analytics 113

Analytics IoT Data-driven Snapshot 113

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

CIO Business Intelligence

MAY 21, 2024

Defining a strategic relationship In July 2023, Dener Motorsport began working with Microsoft Fabric to get at that data in real-time, specifically Fabric components Synapse Real-Time Analytics for data streaming analysis, and Data Activator to monitor and trigger actions in real-time.

Broadcasting 102

Broadcasting Recreation/Entertainment Manufacturing Data Lake 102

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. A unified data ecosystem enables this in real time.

Machine Learning 132

Machine Learning Cost-Benefit Data-driven Strategy 132

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We The team leaned on data scientists and bio scientists for expert support. This allowed us to derive insights more easily.”

Digital Transformation 86

Digital Transformation Cost-Benefit Informatics Data mining 86

IBM Big Data Hub

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. Companies are shifting their investments to cloud software and reducing their spend on legacy infrastructure.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

BizAcuity

APRIL 1, 2023

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. Data ingestion must be performant to handle large amounts of data.,

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

CIO Business Intelligence

SEPTEMBER 21, 2023

They can code, write poetry, draw in any art style, create PowerPoint slides and website mockups, write marketing copy and emails, and find new vulnerabilities in software and plot holes in unpublished novels. In a recent report, he estimated that gen AI software revenues will grow from $3.7 Gen AI took a few months.

Enterprise 128

Enterprise Consulting Modeling Cost-Benefit 128

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. He is responsible for building software artifacts to help customers. runtime ( 3.5

Testing 77

Testing Data Lake Cost-Benefit Data Integration 77

AWS Big Data

JUNE 6, 2023

About the authors Zack Zhou is a Software Development Engineer on the AWS Glue team. Deenbandhu Prasad is a Senior Analytics Specialist at AWS, specializing in big data services. He is passionate about helping customers build modern data architecture on the AWS Cloud.

Data Quality 72

Data Quality Metrics Visualization Dashboards 72

AWS Big Data

APRIL 3, 2023

With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. About the Authors Akhil is a Data Analytics Consultant at AWS Professional Services. Ramesh Raghupathy is a Senior Data Architect with WWCO ProServe at AWS.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

Alation

NOVEMBER 2, 2022

This leading software investment firm has partnered with the who’s-who of data-centric companies, including Qlik and Starburst, to help them drive sustainable, long-term growth. It also helped that other analytics companies in Thoma Bravo’s portfolio echoed that positive feedback. Tre Sayle of Thoma Bravo. But why invest now?

Data Governance 98

Data Governance Marketing Finance Data Lake 98

DataKitchen

NOVEMBER 29, 2021

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. With data and tools increasingly in the cloud, data organizations are finding ways to accommodate remote work. Data Gets Meshier.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. Data-in-motion on the other hand is data constantly coming into an enterprise or into the cloud that doesn’t have any finite end to it.

Enterprise 62

Enterprise Data Lake Strategy Metadata 62

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.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. Let’s dive into the highlights.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Legacy architecture The customer’s platform was the main source for one-time, batch, and content processing.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

AWS Big Data

APRIL 19, 2023

With the right analytics approach, this is possible. 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.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 72

Data Lake Measurement Visualization Data Architecture 72

Data Virtualization

SEPTEMBER 16, 2020

Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud.

Big Data 59

Big Data Internet of Things Analytics IT 59

AWS Big Data

OCTOBER 25, 2023

After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. These services write the output to a data lake.

Unstructured Data 119

Unstructured Data Metadata Management Analytics 119

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 103

Data Lake Unstructured Data Data Warehouse Data Quality 103

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). Iceberg is a 100% open table format, developed through the Apache Software Foundation , and helps users avoid vendor lock-in. This allows our customers the freedom to choose their preferred analytic tool.

Data Lake 88

Data Lake Data Architecture Metadata Data Warehouse 88

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue.

Data Lake 93

Data Lake Metadata Snapshot Analytics 93

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. In his spare time, he loves to play cricket and badminton.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

Alation

JULY 7, 2022

Alation launched the Data Intelligence Project in the summer of 2021 to train the next generation of data leaders. Today, we offer our software free of charge, to faculty and students at academic institutions, as a learning tool. New roles and opportunities in data are multiplying! Multiple universities have added M.S.

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. 8 Critical Analytics Tools for Cloud Environments. Predictive Transformation.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

CIO Business Intelligence

JANUARY 30, 2024

While choosing the right tools from the expanding ESG software marketplace is important, the real work takes place on the back end. What companies need more than anything is good data for ESG reporting. That way Karcher’s team can create an ESG data service offering for the other 64 entities within Allianz SE.

Reporting 102

Reporting Data Quality Strategy Data-driven 102

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. The following insights came from a global BARC survey into the current status of data warehouse modernization. The data landscape and the data integration tasks to be solved are often too complex.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Alation

FEBRUARY 20, 2020

Dave Wells, analyst with the Eckerson Group suggests that realizing the promise of the data warehouse requires a paradigm shift in the way we think about data along with a change in how we access and use it. Self-service analytics environments are giving rise to the data marketplace. Building the EDM.

Data Warehouse 52

Data Warehouse Metadata Data Lake Software 52

AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. The workflow steps are as follows: A user authenticates on an IdP used by the analytics tool that they are trying to access.

Data Governance 65

Data Governance Management Data-driven Data Lake 65