AWS Big Data

MAY 15, 2024

Athena is an interactive query service that simplifies data analysis in Amazon Simple Storage Service (Amazon S3) using standard SQL. Additionally, you can analyze activity logs with AWS CloudTrail Lake and Amazon Athena. AWS CloudTrail Lake supports the collection of events from multiple AWS regions and AWS accounts.

Snapshot 89

Snapshot Optimization Data Lake Reporting 89

AWS Big Data

JANUARY 17, 2024

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 93

Data Lake Snapshot Big Data Data-driven 93

AWS Big Data

JUNE 8, 2023

This data is often stored and analyzed using various tools, such as Amazon OpenSearch Service , a powerful search and analytics service offered by AWS. OpenSearch Service provides real-time insights into your data to support use cases like interactive log analytics, real-time application monitoring, website search, and more.

Data Lake 79

Data Lake Dashboards Metrics Testing 79

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 76

Data Lake Testing Interactive Unstructured Data 76

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. Starting with Amazon EMR release 6.7.0,

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

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

Cloudera

JUNE 2, 2022

Over the last decade, we have often heard about the proliferation of data creating sources (mobile applications, laptops, sensors, enterprise apps) in heterogeneous environments (cloud, on-prem, edge) resulting in the exponential growth of data being created.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

CIO Business Intelligence

SEPTEMBER 8, 2022

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis.

Cost-Benefit 110

Cost-Benefit Internet of Things Data-driven Data Lake 110

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

Cloudera

APRIL 20, 2022

However, consider all the data collection, merging, analyzing and storing this simple interaction requires; it’s not so simple. Data needs to be stored for treatment, drug interactions and/or allergies, patient records, compliance, pharmacy, payment and insurance purposes.

Insurance 101

Insurance Measurement Data Lake Risk 101

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 120

Data Lake Testing Big Data Management 120

CIO Business Intelligence

JULY 13, 2022

Over the last decade, we have often heard about the proliferation of data creating sources (mobile applications, laptops, sensors, enterprise apps) in heterogeneous environments (cloud, on-prem, edge) resulting in the exponential growth of data being created. Data Center

Enterprise 61

Enterprise Data Lake Data Collection Data-driven 61

AWS Big Data

MARCH 27, 2023

Businesses are using real-time data streams to gain insights into their company’s performance and make informed, data-driven decisions faster. As real-time data has become essential for businesses, a growing number of companies are adapting their data strategy to focus on data in motion. Choose Create data source.

Visualization 76

Visualization Data Lake Interactive Data-driven 76

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. PepsiCo also plans to evolve its network modeling to become more “prescriptive,” anticipating events and making planning adjustments rather than reacting to market conditions, she says.

Digital Transformation 126

Digital Transformation IoT Data-driven KPI 126

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

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 94

Manufacturing Cost-Benefit Data Lake Optimization 94

IBM Big Data Hub

JUNE 14, 2023

This is usually text, but it can also be code, IT events, time series, geospatial data, or even molecules. Starting from this foundation model, you can start solving automation problems easily with AI and using very little data—in some cases, called few-shot learning, just a few examples.

Modeling 85

Modeling Data Lake Enterprise Deep Learning 85

AWS Big Data

AUGUST 22, 2023

AWS Glue integrates seamlessly with AWS services like Amazon S3, Amazon Relational Database Service (Amazon RDS), Amazon Redshift , Amazon DynamoDB , Amazon Kinesis Data Streams , and Amazon DocumentDB (with MongoDB compatibility) to offer a robust, cloud-native data integration solution.

Data Processing 88

Data Processing Testing Data Lake Data Integration 88

Sanjeev Mohan

JANUARY 15, 2018

You see, I write research documents, help my clients through inquiries and present at various events. Each client and vendor I have interacted with is the beginning of a lifelong professional relationship. And each colleague I interact with is the beginning of a lifelong friendship.

Data Lake 45

Data Lake IoT Big Data Interactive 45

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 134

Risk Manufacturing Enterprise Technology 134

AWS Big Data

MARCH 29, 2024

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. We also lacked a data buffer, risking potential data loss during outages.

Cost-Benefit 91

Cost-Benefit Data-driven Metrics Management 91

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data.

Risk 70

Risk Modeling Management Metadata 70

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. Amazon Redshift RSQL is a native command-line client for interacting with Amazon Redshift clusters and databases.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

AWS Big Data

JUNE 6, 2023

The preceding SparkApplication definition has the event log enabled and stores the events in an S3 bucket with the following path: s3://YOUR-S3-BUCKET/. buffer.dir=/mnt/s3 --conf spark.hadoop.fs.s3n.impl=com.amazon.ws.emr.hadoop.fs.EmrFileSystem --deploy-mode cluster s3://aws-data-lake-workshop/spark-eks/spark-eks-assembly-3.3.0.jar

Optimization 71

Optimization Data Lake Cost-Benefit Management 71

AWS Big Data

NOVEMBER 9, 2023

Data sources As part of this data platform, we are ingesting data from diverse and varied data sources, including: Transactional databases – These are active databases that store real-time data from various applications. AWS Glue – AWS Glue is used to load files into Amazon Redshift through the S3 data lake.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

AWS Big Data

JUNE 6, 2023

These are six main steps in the data pipeline: Amazon EventBridge triggers an AWS Lambda function when the event pattern for AWS Glue Data Quality matches the defined rule. After you create the table definition on the AWS Glue Data Catalog, you can use Athena to query the Data Catalog table.

Data Quality 71

Data Quality Metrics Visualization Dashboards 71

Jet Global

DECEMBER 3, 2021

It is able to draw from a broader array of data stores, including traditional relational databases, robust data warehouses, and cloud-based data lakes. Sales and customer service interactions are tracked in CRM. and “How have recent events affected sales of consumer packaged goods through grocery stores?”.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

AWS Big Data

MAY 29, 2024

These users interact with and run analytical queries across AWS analytics services. To enable them to use the AWS services, their identities from the external IdP are mapped to AWS Identity and Access Management (IAM) roles within AWS, and access policies are applied to these IAM roles by data administrators.

Data Lake 80

Data Lake Enterprise Management Business Intelligence 80

AWS Big Data

FEBRUARY 16, 2023

Prerequisites Before setting up the CloudFormation stacks, you must have an AWS account and an AWS Identity and Access Management (IAM) user with sufficient permissions to interact with the AWS Management Console and the services listed in the architecture. Choose the data source you created in the previous step. Choose Use custom SQL.

Data Warehouse 80

Data Warehouse Sales Visualization Data Processing 80

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

CIO Business Intelligence

JUNE 29, 2022

Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 111

Data Lake Analytics Data Warehouse Machine Learning 111

Cloudera

JUNE 13, 2024

There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data. But, What Happened to Hadoop?

Big Data 92

Big Data Machine Learning Contextual Data Data Lake 92

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

MARCH 20, 2023

Although these batch analytics-based efforts were successful to some extent, they saw opportunities to improve the customer experience with real-time personalization and security guidance during the customer’s interaction with the Poshmark app. They wanted to use these events to identify and analyze user sessions to track behavior.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

MARCH 5, 2024

Amazon EMR Studio is a unified data analysis environment where you can develop data engineering and data science applications. You can now develop and run interactive queries on Amazon Athena from EMR Studio (for more details, refer to Amazon EMR Studio adds interactive query editor powered by Amazon Athena ).

Data Lake 85

Data Lake Management Dashboards Data-driven 85

Rita Sallam

AUGUST 17, 2016

Can’t wait for the next exciting market event!! Here is what we know about Workday’s plans for Platfora: Workday will no longer sell Platfora as a standalone offering. Well, that’s it for now. Have a great rest of summer! Regards, Rita Sallam. The post Two Acquisitions in Two Weeks! appeared first on Rita Sallam.

Scorecard 40

Scorecard Visualization Sales Marketing 40

CIO Business Intelligence

SEPTEMBER 12, 2023

said Clara Shih, now CEO of Salesforce AI, in a conference call on the eve of the company’s Dreamforce customer event. What’s changed since then, apart from Shih’s title, is Salesforce has rearchitected its underlying Data Cloud and Einstein AI framework to use an improved metadata framework, creating a new platform it calls Einstein 1.

IT 109

IT Metadata Data Lake Cost-Benefit 109