AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. But integrating data isn’t easy.

Data Warehouse 90

Data Warehouse Data-driven Machine Learning B2B 90

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 127

Analytics Data Science Statistics Unstructured Data 127

DataKitchen

NOVEMBER 4, 2021

DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. One data engineer called it the “last mile problem.” .

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

CIO Business Intelligence

JANUARY 31, 2024

“During the inference process, making the initial connection to the AI engine might take 10 round trips, resulting in roughly a 200 to 300 millisecond delay due to distance, but you can optimize application to reduce that initial time.” The speed of the internet connection to the remote site can, of course, mitigate latency issues.

Cost-Benefit 124

Cost-Benefit Modeling Testing IoT 124

CIO Business Intelligence

JUNE 29, 2022

But this glittering prize might cause some organizations to overlook something significantly more important: constructing the kind of event-driven data architecture that supports robust real-time analytics. An event-based, real-time data architecture is precisely how businesses today create the experiences that consumers expect.

Interactive 89

Interactive Data-driven Data Architecture Software 89

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. Ruben Falk is a Capital Markets Specialist focused on AI and data & analytics.

Data Warehouse 121

Data Warehouse Dashboards Risk Management Risk 121

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. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics 111

Analytics IoT Data-driven Snapshot 111

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. The term data mesh refers to a data architecture with decentralized data ownership.

Big Data 78

Big Data Data Architecture Data Lake Interactive 78

CIO Business Intelligence

MARCH 24, 2023

Data governance principles According to the Data Governance Institute, eight principles are at the center of all successful data governance and stewardship programs: All participants must have integrity in their dealings with each other.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

FEBRUARY 6, 2023

When migrating Hadoop workloads to Amazon EMR , it’s often difficult to identify the optimal cluster configuration without analyzing existing workloads by hand. 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 Optimization 52

CDW Research Hub

JULY 27, 2021

Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues. Reuse analytical objects across multiple tools and consuming applications.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 91

Data Lake Data Warehouse Machine Learning Cost-Benefit 91

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

AWS Big Data

MAY 17, 2023

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). The new instance … was a great feature for us,” Wang says. “It It solved our concern about moving from terabyte scale to petabyte scale.”

Data Warehouse 110

Data Warehouse Cost-Benefit Sales Data-driven 110

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. The upgrade also offers support for Bloom filters and skew optimization.

Testing 75

Testing Data Lake Cost-Benefit Data Integration 75

AWS Big Data

JANUARY 12, 2024

Leadership and development teams can spend more time optimizing current solutions and even experimenting with new use cases, rather than maintaining the current infrastructure. With the ability to move fast on AWS, you also need to be responsible with the data you’re receiving and processing as you continue to scale.

Data Lake 92

Data Lake Cost-Benefit Visualization Structured Data 92

AWS Big Data

MARCH 28, 2024

To optimize the reconciliation process, these users require high performance transformation with the ability to scale on demand, as well as the ability to process variable file sizes ranging from as low as a few MBs to more than 100 GB. Redesigned architecture The following diagram illustrates our redesigned architecture.

Optimization 79

Optimization IT Big Data Data Processing 79

Cloudera

JULY 29, 2022

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

Cloudera

DECEMBER 8, 2020

At Cloudera, we recognize the complexities inherent in the government data mission. There are unique challenges involved in adopting a robust data architecture that can store, analyze, and manage massive amounts of government data. Cloudera for Government.

IoT 63

IoT Enterprise Data Architecture Interactive 63

AWS Big Data

APRIL 26, 2023

About Huron Huron is a global professional services firm that collaborates with clients to put possible into practice by creating sound strategies, optimizing operations, accelerating digital transformation, and empowering businesses and their people to own their future.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

AUGUST 28, 2018

Here’s what a few our judges had to say after reviewing and scoring nominations: “The nominations showed highly creative, innovative ways of using data, analytics, data science and predictive methodologies to optimize processes and to provide more positive customer experiences.

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

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Statistics Metrics Visualization Finance 97

AWS Big Data

JANUARY 24, 2023

He is passionate about helping customers build scalable and high-performance data analytics solutions in the cloud. In his spare time, he loves reading and finds areas for home automation Raza Hafeez is a Senior Data Architect within the Shared Delivery Practice of AWS Professional Services.

Data Architecture 65

Data Architecture Metadata Data Lake Snapshot 65

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Challenges associated with Data Management and Optimizing Big Data.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

SEPTEMBER 28, 2020

The customer leverages Cloudera’s multi-function analytics stack in CDP. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Testing 131

Testing Metadata Risk Data Science 131

AWS Big Data

APRIL 3, 2023

About the Authors Akhil is a Data Analytics Consultant at AWS Professional Services. He helps customers design & build scalable data analytics solutions and migrate data pipelines and data warehouses to AWS. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 96

Data Warehouse Testing Data Lake Data-driven 96

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

AWS Big Data

MARCH 25, 2024

To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink. It also allows you to transform, enrich, join, and aggregate data across many sources efficiently in near-real time.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.

Data Lake 78

Data Lake Data Governance Cost-Benefit Machine Learning 78

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

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 109

Data Lake Unstructured Data Data Warehouse Data Quality 109

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 111

Data Lake Metadata Optimization Statistics 111

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift enables you to use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price-performance at scale. Shashank Tewari is a Senior Technical Account Manager at AWS.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

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. The following diagram illustrates the solution architecture. This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security. Orca addressed this in several ways.

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

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. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83