Jet Global

NOVEMBER 5, 2020

If your company is using Microsoft Dynamics AX, you’ll be aware of the company’s shift to Microsoft Dynamics 365 Finance and Supply Chain Management (D365 F&SCM). Option 3: Azure Data Lakes. This leads us to Microsoft’s apparent long-term strategy for D365 F&SCM reporting: Azure Data Lakes.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 86

Data Science Data Analytics Prescriptive Analytics Analytics 86

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 76

Data Lake Data Governance Cost-Benefit Machine Learning 76

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Using Big Data to Fix Your Biggest Problems as a Business Owner.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. This is also true that decentralized data management is not new.

Management 66

Management Data Lake Uncertainty Data Warehouse 66

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 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

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

AWS Big Data

FEBRUARY 7, 2023

In the data analytics space, organizations often deal with many tables in different databases and file formats to hold data for different business functions. Apache Hudi supports ACID transactions and CRUD operations on a data lake. It uses the native support for Apache Hudi on AWS Glue for Apache Spark.

Data Lake 70

Data Lake Testing Big Data Structured Data 70

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

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 94

Data Lake Data Warehouse Machine Learning Cost-Benefit 94

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

AWS Big Data

APRIL 26, 2023

Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group. To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub.

Manufacturing 118

Manufacturing Forecasting Data Lake Big Data 118

AWS Big Data

JANUARY 12, 2024

Many organizations, small and large, are working to migrate and modernize their analytics workloads on Amazon Web Services (AWS). We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens.

Data Lake 89

Data Lake Cost-Benefit Visualization Structured Data 89

Bruno Aziza

NOVEMBER 15, 2017

VEDA — Verizon Enterprise Data Analytics—is an enterprise organization that addresses data management, data governance, data warehousing and data lakes and common analytical and AI technologies.

Big Data 71

Big Data Data Lake Data Governance Enterprise 71

Data Virtualization

MARCH 21, 2019

According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard! There is not one specific.

Big Data 60

Big Data Management Data Lake Metadata 60

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

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

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 84

Metadata Data Lake Visualization Data Transformation 84

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical. Choose Create stack.

Data Quality 60

Data Quality Data Lake Data Warehouse Data-driven 60

Jen Stirrup

MAY 5, 2020

It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. In this topic, we’re going to focus specifically on Big Data technologies, such as your HDInsight, Apache Spark and Databricks.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

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 117

Data Lake Testing Big Data Management 117

AWS Big Data

MARCH 6, 2024

Amazon EMR empowers you to create, operate, and scale big data frameworks such as Apache Spark quickly and cost-effectively. For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR.

Metrics 89

Metrics Statistics Testing Data Lake 89

AWS Big Data

JUNE 8, 2023

With automated alerting with a third-party service like PagerDuty , an incident management platform, combined with the robust and powerful alerting plugin provided by OpenSearch Service, businesses can proactively manage and respond to critical events. For instructions, refer to Creating and managing Amazon OpenSearch Service domains.

Data Lake 75

Data Lake Dashboards Metrics Testing 75

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. Solution overview The new native OpenSearch Service connector is a powerful tool that can help organizations unlock the full potential of their data.

Analytics 92

Analytics IT Data Lake Visualization 92

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

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 72

Data Lake Testing Interactive Unstructured Data 72

IBM Big Data Hub

MAY 19, 2023

In addition, to address the data loss issue, PT Aegis suggested replication and backups to IBM Cloud Object Storage , a highly scalable and secure cloud storage service that provides a flexible and cost-effective way to store and manage large amounts of unstructured data.

Unstructured Data 83

Unstructured Data Data Processing Manufacturing Data Lake 83

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. 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. Management.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

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 83

Optimization Data Lake Management Key Performance Indicator 83

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 108

Analytics IoT Data-driven Snapshot 108

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities. Choose Create role.

Insurance 75

Insurance Data Lake Data-driven Management 75

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

AUGUST 22, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. There is no need to pre-provision, configure, or manage infrastructure.

Data Processing 84

Data Processing Testing Data Lake Data Integration 84

AWS Big Data

DECEMBER 5, 2023

HR&A also realized about a 75% reduction in overall deployment and dashboard management time, which meant the consulting team could redirect their focus from manually analyzing data to helping clients interpret and strategically plan around the results. She helps customers architect data analytics solutions at scale on AWS.

Measurement 78

Measurement Dashboards Data Warehouse Analytics 78

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

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. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263