AWS Big Data

JUNE 8, 2023

You can use the plugin to set up different monitors, including cluster health, an individual document, a custom query, or aggregated data. At AWS, he is focused on Data Lake implementations, and Search, Analytical workloads using Amazon OpenSearch Service. These monitors can be used to send alerts to users.

Data Lake 79

Data Lake Dashboards Metrics Testing 79

CIO Business Intelligence

DECEMBER 13, 2022

Cullop also talks about DaVita’s strategies for AI and data analytics, as well as the importance of passion and culture as drivers of technology innovation. Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

Strategy 98

Strategy Technology Digital Transformation Data Lake 98

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. 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

Sisense

JULY 8, 2020

Every company wants every team within their business to make smarter, data-driven decisions. Customer support teams look at trends in support tickets or do text analysis on conversations to understand where they can provide better onboarding and documentation. Data, analytics, and BI have radically evolved since their inception.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

Alation

FEBRUARY 13, 2020

There is plenty of market validation for the value of data catalogs. Gartner analysts Ehtisham Zaidi and Guido de Simoni recently wrote that data catalogs are a “ must-have for data analytics leaders.” Their research is documented in an extensive report published today.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

AWS Big Data

MARCH 27, 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. The scope should contain inputs and data points on the current architecture as well as the target architecture.

Testing 99

Testing Data Warehouse Metrics Cost-Benefit 99

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

Cloudera

FEBRUARY 16, 2021

The following image shows you how COD integrates within your enterprise data lifecycle. . Cloudera Shared Data Experience (SDX) . Apache NiFi enables your applications running on COD to always have access to the latest data. Read the Cloudera DataFlow for Data Hub documentation for more information about Cloudera DataFlow. .

Machine Learning 81

Machine Learning Data Lake Enterprise Data Warehouse 81

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 97

Data Warehouse Testing Data Lake Data-driven 97

AWS Big Data

JUNE 6, 2023

In the following code, replace the EKS endpoint as well as the S3 bucket then run the script: /bin/spark-submit --class ValueZones --master k8s://EKS-ENDPOINT --conf spark.kubernetes.namespace=data-team-a --conf spark.kubernetes.container.image=608033475327.dkr.ecr.us-west-1.amazonaws.com/spark/emr-6.10.0:latest amazonaws.com/spark/emr-6.10.0:latest

Optimization 70

Optimization Data Lake Cost-Benefit Management 70

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. If you haven’t deployed one, then follow the steps here in the AWS Documentation. Vishal Khatri is a Sr.

Data Warehouse 97

Data Warehouse Snapshot Data Processing Management 97

AWS Big Data

APRIL 30, 2024

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. These capabilities simplify and accelerate data processing and integration on AWS. Amazon Q data integration in AWS Glue is available in every AWS Region where Amazon Q is available.

Data Integration 102

Data Integration Data Lake Data Warehouse Software 102

datapine

APRIL 15, 2020

Working software over comprehensive documentation. The agile BI implementation methodology starts with light documentation: you don’t have to heavily map this out. But before production, you need to develop documentation, test driven design (TDD), and implement these important steps: Actively involve key stakeholders once again.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Sisense

APRIL 26, 2020

Semi-structured data. Semi-structured data is a hybrid of both structured and unstructured data. If your goal is to derive business value and opportunities from the stores in your cloud data warehouse,then you need to understand what kind of data you have, make sure it’s properly prepared, and pipe it into a BI tool.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

MARCH 2, 2023

A catalyst to make this happen will be the ongoing improvements in AI-enabled data capture. Fast and accurate data extraction will speed up transactions and automation capabilities, and be the foundational technology within any business intelligence or data analytics platform, enabling better collaboration and B2B communications, he says.

Data Lake 143

Data Lake Forecasting B2B Optimization 143

AWS Big Data

AUGUST 2, 2023

Using existing analytics tools such as Amazon Athena and Amazon QuickSight an organization can gain insight into its estimated carbon footprint. The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint.

Data Lake 71

Data Lake Measurement Visualization Data Architecture 71

AWS Big Data

OCTOBER 25, 2023

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly.

Unstructured Data 118

Unstructured Data Metadata Management Analytics 118

AWS Big Data

MAY 16, 2023

This issue becomes increasingly challenging for larger organizations that operate in multiple countries and states, because each country and state may have their own rules and regulations regarding data retention and deletion. The Data Lab has three offerings: the Build Lab, the Design Lab, and Resident Architect.

Data Lake 69

Data Lake Cost-Benefit Optimization Testing 69

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it.

Data Lake 98

Data Lake Cost-Benefit Testing Metadata 98

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 95

Analytics Visualization Data Integration Cost-Benefit 95

IBM Big Data Hub

MAY 9, 2023

is not just for data scientists and developers — business users can also access it via an easy-to-use interface that responds to natural language prompts for different tasks. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Watsonx.ai Depending on the task, watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

IBM Big Data Hub

OCTOBER 12, 2023

Stored data is predicted to see a 250% growth by 2025, 1 the results of which are likely to include a greater number of disconnected silos and higher associated costs. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

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. Pushing data to a data lake and assuming it is ready for use is shortsighted.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

JANUARY 22, 2024

Users can also raise requests to producers to improve the way the data is presented or to enrich the data with new data points for generating a higher business value. At the same time, each team can also map other catalogs to their own account and use their own data, which they produce along with the data from other accounts.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

Jet Global

OCTOBER 22, 2020

Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. Let’s begin with an overview of how data analytics works for most business applications. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

AWS Big Data

NOVEMBER 15, 2023

Extract non-transactional metadata from within the contents of the file and merge it with transactional data In this section, we consider data that has metadata on the first few rows of the file, followed by transactional data. About the Author Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS.

Metadata 83

Metadata Sales Data Lake Big Data 83

Alation

JULY 7, 2022

As Alation worked to create a new category of enterprise data management tool, the data catalog , Aaron wanted to also use this new technology to advance the cause of academic research. Aaron turned his attention from Alation Open to launch the Alation Data Catalog. programs in Information Science and Data Analytics.

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

MARCH 3, 2023

From detailed design to a beta release, Tricentis had customers expecting to consume data from a data lake specific to only their data, and all of the data that had been generated for over a decade. Data export As stated earlier, some customers want to get an export of their test data and create their data lake.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics.

Data Governance 82

Data Governance Metadata Data-driven Enterprise 82

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Domino Data Lab

AUGUST 8, 2019

The second rule of Foo Camp concerns a practice called “FrieNDA” where people speak candidly and others respect that without either (1) “Oh gosh I must live tweet stream this amazing insight” or (2) anybody having to sign legal documents. Data governance, for the win! Sci Foo 2019. Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

DECEMBER 12, 2018

Now you can just land those files and instead of having a separate filer that doesn’t have any compute processing in it, you can land them in a distributed file system like HDFS, which is generally co-located with a data processing engine like Impala. Greg Rahn: I refer to this as friction-free data landing.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

Alation

AUGUST 4, 2022

Many CIOs argue the rise of big data pushed people to use data more proactively for business decision-making. Big data got“ more leaders and people in the organization to use data, analytics, and machine learning in their decision making,” says former CIO Isaac Sacolick. Big data can grow too big fast.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95