AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

AWS Big Data

NOVEMBER 17, 2023

You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

Optimization 109

Optimization Statistics Metadata Data Lake 109

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data Entities. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.” ” Watsonx.ai

Management 84

Management IT Machine Learning Metrics 84

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 77

Data Lake Data Governance Cost-Benefit Machine Learning 77

AWS Big Data

JUNE 15, 2023

In today’s world, customers manage vast amounts of data in their Amazon Simple Storage Service (Amazon S3) data lakes, which requires convoluted data pipelines to continuously understand the changes in the data layout and make them available to consuming systems. Choose Next.

Data Lake 84

Data Lake Metadata Cost-Benefit Management 84

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. 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. We think of this concept as inside-out data movement.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

CIO Business Intelligence

SEPTEMBER 20, 2023

The data can also help us enrich our commodity products. How are you populating your data lake? We’ve decided to take a practical approach, led by Kyle Benning, who runs our data function. Then our analytics team, an IT group, makes sure we build the data lake in the right sequence.

Data Lake 124

Data Lake Data-driven Dashboards Risk 124

AWS Big Data

APRIL 11, 2023

Inventory management is a critical function for any business that deals with physical products. The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them.

Forecasting 72

Forecasting Management IoT Data-driven 72

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. The rise of cloud object storage has driven the cost of data storage down.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

Snapshot 96

Snapshot Data Lake Metadata Optimization 96

DataKitchen

NOVEMBER 4, 2021

It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. Cloud computing has made it much easier to integrate data sets, but that’s only the beginning.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

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 89

Data Lake Snapshot Big Data Data-driven 89

AWS Big Data

NOVEMBER 10, 2023

Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency. Additionally, you’ll benefit from performance improvements through pushdown optimizations, further enhancing the efficiency of your operations. options(**read_config).option("query",

Data Processing 89

Data Processing Data Lake Data Warehouse Optimization 89

AWS Big Data

MARCH 21, 2024

AWS offers multiple serverless services like Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Data Firehose , Amazon DynamoDB , and AWS Lambda that scale automatically depending on your needs. You’re responsible for managing thousands of modems for an internet service provider deployed across multiple geographies.

Data Lake 92

Data Lake Management Modeling Optimization 92

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Choose Create endpoint.

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

AWS Big Data

JANUARY 12, 2024

There are many reasons for customers to migrate to AWS, but one of the main reasons is the ability to use fully managed services rather than spending time maintaining infrastructure, patching, monitoring, backups, and more. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.

Data Lake 90

Data Lake Cost-Benefit Visualization Structured Data 90

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 80

Data Lake Big Data Consulting Data Warehouse 80

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It can be used with both on-premise and multi-cloud environments.

Risk 75

Risk Modeling Management Metadata 75

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings.

Statistics 98

Statistics Data Lake Optimization Data-driven 98

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Another challenge is how to manage ordered data dependencies.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

CIO Business Intelligence

NOVEMBER 29, 2023

By mid-2023, Walldorf-based Gerresheimer had its IT strategy revised, and a central component of this was its cloud journey, for which CIO Zafer Nalbant and his team built a hybrid environment consisting of a public cloud part based on Microsoft Azure, and a private cloud part that runs in a data center completely managed by T-Systems.

IT 102

IT Data Lake Strategy IoT 102

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

Smart Data Collective

FEBRUARY 23, 2022

Traditional relational databases provide certain benefits, but they are not suitable to handle big and various data. That is when data lake products started gaining popularity, and since then, more companies introduced lake solutions as part of their data infrastructure. Athena is serverless and managed by AWS.

Data Lake 98

Data Lake Cost-Benefit Optimization Big Data 98

CIO Business Intelligence

APRIL 11, 2022

Although centralized data models and architectures, including data lakes and data-center-based warehouses and repositories, may no longer be the leading data strategy, elements of a centralized approach remain a critical part of the mix. over last year. In many cases, this created a mostly unusable swamp.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. Companies such as Cyxtera, Digital Realty and Equinix, among others, offer hosting, managing and operations services for AI infrastructure.

Experimentation 130

Experimentation Cost-Benefit Data Lake Data Science 130

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 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

CIO Business Intelligence

SEPTEMBER 7, 2023

Managed SASE , which allows an expert partner to help improve your operational efficiency and optimize your network performance by consolidating all these essential security capabilities into a unified, easy-to-manage platform architecture. But a SASE transformation is not always as straightforward as it seems. The solution?

IT 107

IT Data Lake Cost-Benefit Digital Transformation 107

CIO Business Intelligence

JANUARY 10, 2024

Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Refactor your applications to take advantage of web services or serverless capabilities, and re-architect your infrastructure to optimize resource usage,” he says.

Cost-Benefit 118

Cost-Benefit Measurement Optimization Metrics 118

AWS Big Data

APRIL 18, 2024

is a cloud-based customer relationship management (CRM) software company building artificial intelligence (AI)-powered business applications that allow businesses to connect with their customers in new and personalized ways. The data lake consumers then use Apache Presto running on Amazon EMR cluster to perform one-time queries.

Optimization 84

Optimization Data Lake Management Key Performance Indicator 84

AWS Big Data

MARCH 25, 2024

In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. In-context learning LLMs are trained with point-in-time data and have no inherent ability to access fresh data at inference time. For more information, refer to Dynamic Tables.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

IBM Big Data Hub

APRIL 15, 2024

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Or we create a data lake, which quickly degenerates to a data swamp. Asset Management Gen AI has the power to transform asset management. The manufacturing industry is in an unenviable position.

Manufacturing 100

Manufacturing Contextual Data Knowledge Discovery Modeling 100

BizAcuity

NOVEMBER 22, 2022

Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization. For this reason, Snowflake is often the cloud-native data warehouse of choice. This makes the data available sooner. Conclusion.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98