AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 91

Management Data Warehouse Metrics Dashboards 91

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. 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 17, 2023

DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools. The scalability and flexible data schema of DynamoDB make it well-suited for a variety of use cases. The Athena editor is used to test the connector and perform analysis via SQL queries.

Visualization 79

Visualization Metadata Testing Internet of Things 79

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . But first, let’s look at the different form factors in which Cloudera Operational Database is available to developers: Public cloud: CDP Data Hub Operational Database template . The DML statements are not standard SQL). .

Interactive 101

Interactive Machine Learning Data Science IT 101

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. The results then provide a place to start thinking about what effect the pandemic had on employment. Executive Summary. Demographics.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 80

Data Warehouse Analytics Metadata Dashboards 80

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. This blog post is co-written with Ori Nakar from Imperva.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

AWS Big Data

MAY 2, 2023

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that makes it simple to set up and operate end-to-end data pipelines in the cloud at scale. New feature: Data-aware scheduling using datasets With the release of Apache Airflow v2.4.0, and v2.2.2).

Testing 97

Testing Experimentation Management Metadata 97

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. You can take advantage of a combination of the strategies provided and adapt them to your particular use cases.

Strategy 56

Strategy Optimization Snapshot Metadata 56

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

IBM Big Data Hub

APRIL 13, 2023

Someone with the knowledge of SQL and access to a Db2 instance, where the in-database ML feature is enabled, can easily learn to build and use a machine learning model in the database. The machine learning use case I will use a dataset of historical flights in the US. Db2 Warehouse on cloud also supports these ML features.

Modeling 92

Modeling Statistics Machine Learning Testing 92

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Domino Data Lab and Snowflake: Better Together. Introduction.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. For Matthieu G.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

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 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

Jet Global

DECEMBER 8, 2020

Many of us have grown accustomed to software products that can be installed in a few minutes, or in the case of more complex products, perhaps a few hours. Many of us have grown accustomed to software products that can be installed in a few minutes, or in the case of more complex products, perhaps a few hours.

Finance 52

Finance Risk Reporting Software 52

FineReport

OCTOBER 25, 2021

Numerous data?Want Want to flee the great tidal wave of data display? Now here comes data dashboard ?Similar What is Data Dashboard?–Definition. The power of BI insight enables any group or organization’s processes, initiatives, and projects to be well shown and measured. Data Dashboard Tool.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

Cloudera

OCTOBER 28, 2020

For example Cyber teams may find more value in logs that outline user behaviour when accessing the data, whilst operational teams may prefer logs that show the spikes in load time throughout the day. Converting flows to records and filtering using SQL. SQL filtering on Records. The overview of both processes are as follows.

Cost-Benefit 63

Cost-Benefit Metadata Consulting Testing 63

BizAcuity

APRIL 1, 2023

Introduction Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format.

Optimization 52

Optimization Data Warehouse Management Modeling 52

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

BizAcuity

SEPTEMBER 22, 2022

Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. Data is stored in a row-based format.

Optimization 52

Optimization Data Warehouse Management Modeling 52

Cloudera

SEPTEMBER 17, 2018

SQL development is not a new concept. However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. New data types need to be quickly joined with existing data sets.

Data Warehouse 52

Data Warehouse Optimization Visualization Unstructured Data 52

AWS Big Data

JANUARY 27, 2023

In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes. You can apply data, agent, call duration, and language filters for targeted search. The graphical and tabular views help accurately analyze the data.

Analytics 59

Analytics Reporting Dashboards Visualization 59

AWS Big Data

AUGUST 16, 2023

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. Often, customers have used the create table statement on analytics engines such as Athena, AWS Glue, and so on.

Data Lake 74

Data Lake Metadata Snapshot Management 74

Jet Global

DECEMBER 16, 2020

IT staff must have the deep expertise required to sort out data storage and access, data integrity, performance, and all of the other technical factors in the reporting and analytics domain. How can these two groups begin to communicate more effectively about financial reporting and analytics? It doesn’t need to be that way.

Finance 52

Finance Reporting IT Cost-Benefit 52

AWS Big Data

APRIL 26, 2024

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles. We use Okta as the IdP for this demonstration.

Analytics 85

Analytics Data Lake Management Enterprise 85

AWS Big Data

MARCH 18, 2024

It always pays to know more about your customers, and AWS Data Exchange makes it straightforward to use publicly available census data to enrich your customer dataset. The United States Census Bureau conducts the US census every 10 years and gathers household survey data. Subscribe to census data on AWS Data Exchange.

Data Warehouse 78

Data Warehouse Visualization Snapshot Data-driven 78

AWS Big Data

MARCH 11, 2024

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

AWS Big Data

MARCH 27, 2024

This includes patient medical history, allergies, immunizations, family disease history, and individuals’ lifestyle data such as workout habits. AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis.

Data Analytics 87

Data Analytics Analytics Data Warehouse Data Lake 87

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

APRIL 28, 2023

Table of Contents 1) What Are Data Types? 2) The Need For Data Types 3) List Of Common Data Types a) Primitive Data Types b) Composite Data Types c) Abstract Data Types In our digitally-driven age, data is permeating every industry and business function at an increasing pace.

Reporting 200

Reporting Data-driven Visualization Interactive 200

AWS Big Data

OCTOBER 23, 2023

Athena Spark notebooks support PySpark and notebook magics to allow you to work with Spark SQL. Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference.

Data Lake 98

Data Lake Visualization Optimization Interactive 98

AWS Big Data

JULY 28, 2023

Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for its ease of use, high-level APIs, and the ability to process large amounts of data. Flink also allows seamless transition and switching across these APIs.

Data Processing 79

Data Processing Big Data Data Quality Technology 79

AWS Big Data

FEBRUARY 15, 2024

Many organizations use identity providers (IdPs) to authenticate users, manage their attributes, and group memberships for secure, efficient, and centralized identity management. AWS Lake Formation makes it straightforward to centrally govern, secure, and globally share data for analytics and machine learning (ML).

Management 85

Management Data Lake Sales Data Warehouse 85

AWS Big Data

JUNE 28, 2023

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. in regions us-east-1 , us-east-2 , us-west-2 , ap-northeast-1 and eu-west-1.

Data Warehouse 81

Data Warehouse Analytics Metrics Dashboards 81

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP).

Snapshot 87

Snapshot Metadata Cost-Benefit Data Warehouse 87

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift has recently added many SQL commands and expressions.

Data Warehouse 99

Data Warehouse OLAP Risk Online Analytical Processing 99