AWS Big Data

FEBRUARY 6, 2023

In the post Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool , we introduced the AWS ProServe Hadoop Migration Delivery Kit (HMDK) TCO tool and the benefits of migrating on-premises Hadoop workloads to Amazon EMR. Are any mixed development and operation jobs operating in one cluster? Choose Delete. Choose Delete stack.

Dashboards 72

Dashboards Optimization Data Lake Cost-Benefit 72

Cloudera

JUNE 1, 2021

Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. These acquisitions usher in a new era of “ self-service ” by automating complex operations so customers can focus on building great data-driven apps instead of managing infrastructure.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Alation

MARCH 22, 2022

So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? This platform can be implemented in a cost-effective serverless cloud environment and put to work right away. They can better understand data transformations, checks, and normalization. Alation’s DataOps Role.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

DataKitchen

JULY 27, 2023

Azure Functions: You can write small pieces of code (functions) that will do the transformations for you. Azure HDInsight: A fully managed cloud service that makes processing massive amounts of data easy, fast, and cost-effective. Power BI dataflows: Power BI dataflows are a self-service data preparation tool.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

AWS Big Data

MAY 9, 2023

For workloads such as data transforms, joins, and queries, you can use G.1X 2X (2 DPU) workers, which offer a scalable and cost-effective way to run most jobs. Worker Type Number of Workers Number of DPUs Duration (minutes) Cost at $0.44/DPU-hour 1X (1 DPU) and G.2X The following table shows the results of the benchmark.

Data Lake 84

Data Lake Cost-Benefit Data Integration Data Transformation 84

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 81

Cost-Benefit Metadata Optimization Management 81

AWS Big Data

OCTOBER 27, 2023

AWS Glue , a serverless data integration and extract, transform, and load (ETL) service, has revolutionized this process, making it more accessible and efficient. AWS Glue eliminates complexities and costs, allowing organizations to perform data integration tasks in minutes, boosting efficiency.

Analytics 92

Analytics Visualization Data Integration Cost-Benefit 92

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 81

Enterprise Data Warehouse Data Lake Optimization 81

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

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

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Search for the Jira Cloud connector.

Data Lake 82

Data Lake Data Transformation Cost-Benefit Data-driven 82

Cloudera

OCTOBER 11, 2021

They will automatically get the benefits of CDP Shared Data Experience (SDX) with enterprise-grade security and governance. Modak Nabu reliably curates datasets for any line of business and personas, from business analysts to data scientists. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Lake 89

Data Lake Cost-Benefit Data-driven Dashboards 89

IBM Big Data Hub

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

Data Lake 65

Data Lake Metadata Cost-Benefit Data Warehouse 65

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.

Analytics 90

Analytics Data Lake Metadata Cost-Benefit 90

Ontotext

FEBRUARY 12, 2024

The data mesh concept will mitigate cognitive overload when building data-driven organizations that require intense technical, domain, and operational knowledge. For many organizations, a centralized data platform will fall short as it gives data teams much less autonomy over managing increasingly diverse and voluminous datasets.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85

AWS Big Data

APRIL 5, 2023

Showpad also struggled with data quality issues in terms of consistency, ownership, and insufficient data access across its targeted user base due to a complex BI access process, licensing challenges, and insufficient education. The company also used the opportunity to reimagine its data pipeline and architecture.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52