AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113

AWS Big Data

JULY 20, 2023

The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table. Therefore, organizations have come to host huge volumes of metadata of their structured datasets in the Hive metastore.

Data Lake 80

Data Lake Metadata Data Processing Big Data 80

AWS Big Data

AUGUST 3, 2023

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. A resource link is a Data Catalog object that is a link to a database or table.

Data Lake 86

Data Lake Metadata Management Data Processing 86

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. This enables data-driven decision-making across the organization. Lake Formation – Lake Formation emerged as a cornerstone in Bluestone’s data governance strategy.

Data-driven 95

Data-driven Data Lake Data Quality Data Governance 95

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Iceberg captures metadata information on the state of datasets as they evolve and change over time. In the navigation pane, under Data catalog , choose Settings.

Data Lake 78

Data Lake Metadata Snapshot Management 78

AWS Big Data

DECEMBER 13, 2023

For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users. BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). The Python utility reads the metadata information, parses it, and configures the nodes automatically.

Metadata 88

Metadata Data Lake Visualization Data Transformation 88

AWS Big Data

NOVEMBER 8, 2023

They recently needed to do a monthly load of 140 TB of uncompressed healthcare claims data in under 24 hours after receiving it to provide analysts and data scientists with up-to-date information on a patient’s healthcare journey. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 76

Data Lake Data Warehouse Cost-Benefit Optimization 76

AWS Big Data

JUNE 8, 2023

In today’s fast-paced digital world, businesses rely heavily on their data to make informed decisions. This data is often stored and analyzed using various tools, such as Amazon OpenSearch Service , a powerful search and analytics service offered by AWS. For Host , enter events.PagerDuty.com. For Method , choose POST.

Data Lake 79

Data Lake Dashboards Metrics Testing 79

IBM Big Data Hub

MAY 19, 2023

With its flagship product, Mebook, TDC Digital offers a comprehensive ERP system that can cater to the specific information system requirements of different departments within a company. Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

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

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 80

Data Lake Data Analytics Analytics Data Processing 80

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. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

CIO Business Intelligence

MARCH 18, 2024

Though a multicloud environment, the agency has most of its cloud implementations hosted on Microsoft Azure, with some on AWS and some on ServiceNow’s 311 citizen information platform. For a typical project that will likely involve a Snowflake data lake hosted currently on Azure, Menon stresses that quality of data is critical. “AI

Risk 125

Risk Cost-Benefit Data Processing Testing 125

CIO Business Intelligence

APRIL 9, 2024

Beginning in 2021, the Minneapolis-based Microsoft partner helped Dairyland migrate from several custom legacy applications to a commercial implementation of Dynamics 365 and an Azure data lake, which set the stage for the power company’s early foray into AI, according to the systems integrator.

Digital Transformation 88

Digital Transformation Machine Learning Data Lake Software 88

CIO Business Intelligence

OCTOBER 4, 2023

At the lowest layer is the infrastructure, made up of databases and data lakes. These applications live on innumerable servers, yet some technology is hosted in the public cloud. Data that unlocks value at both ends is key. This is, according to Shivananda, the brain of PayPal.

Digital Transformation 122

Digital Transformation Deep Learning Data Lake Risk 122

AWS Big Data

JUNE 6, 2023

Data is the lifeblood of modern businesses. In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. AWS Glue Data Quality measures and monitors the quality of your dataset.

Data Quality 69

Data Quality Data Lake Visualization Data-driven 69

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 101

Statistics Data Lake Optimization Data-driven 101

Cloudera

DECEMBER 2, 2021

The following sections provide additional details on other aspects of how this is implemented, as well as information on steps to take to set this up for yourself. In addition to AKS and the load balancers mentioned above, this includes VNET, Data Lake Storage, PostgreSQL Azure database, and more. Enter “0.0.0.0/0” Next Steps.

Data Lake 123

Data Lake Data Warehouse Data Processing Interactive 123

AWS Big Data

MARCH 20, 2023

IP translation – The IP addresses present in events will be translated to city, state, and zip, and enriched with other information to implement near-real-time, location-aware services encompassing security-related functions as well as personalization functions. Operational dashboards are hosted on Grafana integrated with Druid.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Although the identity processing solution helps build the unified customer profile, we recommend considering this as part of your data processing capabilities.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 102

Data Lake Visualization Optimization Interactive 102

AWS Big Data

APRIL 26, 2024

Set up EMR Studio In this step, we demonstrate the actions needed from the data lake administrator to set up EMR Studio enabled for trusted identity propagation and with IAM Identity Center integration. For more information, refer to Granting table permissions using the named resource method. Select Named Data Catalog resources.

Analytics 95

Analytics Data Lake Management Enterprise 95

erwin

APRIL 2, 2021

An assessment of the data breaches that crop up like weeds each year supports the conclusion that companies, absent data governance, wind up building security architectures strictly from a technical perspective. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Hopefully, it was informative and helpful to you. Well, let’s find out. Artificial intelligence (AI).

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Proprietary file formats mean no one else is invited in! Separate compute.

Data Lake 94

Data Lake Data Warehouse IT Analytics 94

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. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Choose Create stack.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Security & Governance.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

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. The job runs in the target account.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. This could be your data lake or application S3 bucket.

Reporting 87

Reporting Data Lake Management Optimization 87

AWS Big Data

FEBRUARY 16, 2023

For more information about creating visuals, see Adding visuals to Amazon QuickSight analyses. Create an Amazon Redshift data source in AWS CloudFormation In this step, we add the AWS::QuickSight::DataSource section of the CloudFormation template. On the All analyses tab of the QuickSight start page, choose New analysis.

Data Warehouse 80

Data Warehouse Sales Visualization Data Processing 80

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. This solution uses Amazon Aurora MySQL hosting the example database salesdb.

Data Warehouse 98

Data Warehouse Snapshot Data Processing Management 98

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

JANUARY 10, 2024

For example, if a cloud vendor hosts a data lake that requires operational technology data to synchronize and feed back into a decision algorithm on the production line, we measure latency. CIOs should then use that information to measure cloud value relative to business operations.

Cost-Benefit 111

Cost-Benefit Measurement Optimization Metrics 111

AWS Big Data

DECEMBER 18, 2023

Solution overview One of the common functionalities involved in data pipelines is extracting data from multiple data sources and exporting it to a data lake or synchronizing the data to another database. For more information, refer to IAM Policies for invoking AWS Glue job from Step Functions.

Metadata 121

Metadata Visualization Data Lake Data-driven 121