AWS Big Data

MARCH 6, 2025

The groups for the illustration can be broadly classified into the following categories: Regional sales managers will be granted access to view sales data only for the specific country or region they manage. Args: sql (str): The SQL query to execute. redshift_client (boto3.client): client): The Redshift Data API client.

Visualization 104

Visualization Sales Data Warehouse Management 104

AWS Big Data

APRIL 24, 2023

Solution overview To explain this setup, we present the following architecture, which integrates Amazon S3 for the data lake (Iceberg table format), Lake Formation for access control, AWS Glue for ETL (extract, transform, and load), and Athena for querying the latest inventory data from the Iceberg tables using standard SQL.

Data Lake 98

Data Lake Data Governance Machine Learning Cost-Benefit 98

Smart Data Collective

SEPTEMBER 8, 2021

It is considered a “complex to license and expensive tool” that often overlaps with other products in this category. AWS Data Pipeline : AWS Data Pipeline can be used to schedule regular processing activities such as SQL transforms, custom scripts, MapReduce applications, and distributed data copy. Conclusion.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

AWS Big Data

MARCH 2, 2023

It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. We use iceberg-blog-cluster. Apache Iceberg integration is supported by AWS analytics services including Amazon EMR , Amazon Athena , and AWS Glue. Choose Next.

Data Lake 137

Data Lake Data Processing Metadata Snapshot 137

AWS Big Data

AUGUST 12, 2024

For Stack name , enter a name for the stack, for example, blog-redshift-advisor-recommendations. Next, the function will summarize recommendations by each provisioned cluster (for all clusters in the account or a single cluster, depending on your settings) based on the impact on performance and cost as HIGH, MEDIUM, and LOW categories.

Cost-Benefit 105

Cost-Benefit Data Warehouse Optimization Data Lake 105

Domino Data Lab

JULY 15, 2021

Key categories of tools and a few examples include: Data Sources. SQL based) to big data stores (e.g. Languages are typically broken into two categories, commercial and open source. The post Data Science Tools: Understanding the Multiverse appeared first on Data Science Blog by Domino. They range from flat files (e.g.

Data Science 145

Data Science Visualization Enterprise Modeling 145

AWS Big Data

FEBRUARY 16, 2024

Amazon Redshift Spectrum enables you to run Amazon Redshift SQL queries on data stored in Amazon S3. For Service category , select AWS services. For Service category , select AWS services. For Service category , select AWS services. Redshift Spectrum uses the AWS Glue Data Catalog as a Hive metastore. Congratulations!

Data Lake 119

Data Lake Data Warehouse Testing Business Objectives 119

Sisense

DECEMBER 16, 2020

As another example, if your sales went up by 10%, Sisense might explain that the increase was attributable to both a specific product category and a certain age group of customer with a visual display of the breakdown. For every query, Sisense translates live widget information into SQL data.

Slice and Dice 98

Slice and Dice Analytics Data-driven Reporting 98

Alation

SEPTEMBER 30, 2022

In this blog, I’ll talk about the data catalog and data intelligence markets, and the future for Alation. While we’re widely credited with driving the creation of the data catalog category 1 , Alation isn’t just a data catalog company. We’re excited to continue to innovate and lead the data intelligence category for years to come!

Measurement 92

Measurement Metrics Data Governance Sales 92

Cloudera

MAY 18, 2021

Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. Flink SQL combines the performance and scalability of Apache Flink, a popular distributed streaming platform, with the simplicity and accessibility of SQL. You can view the code here.

Risk 99

Risk Marketing Risk Management Data-driven 99

Smart Data Collective

OCTOBER 14, 2019

When Google talked about releasing this tool in its blog, the brand pointed out that if you don’t protect user data, you risk losing people’s trust. Users only need to include the respective path in the SQL query to get to work. It allows secure and interactive SQL analytics at the petabyte scale. Kubernetes.

Data Science 94

Data Science Machine Learning Big Data Interactive 94

Cloudera

NOVEMBER 2, 2020

As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. SQL editor for running Hive and Impala queries. SQL editor for running Impala+Kudu queries. General Purpose RTDW.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

AWS Big Data

MAY 24, 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. KiB 7ffbc860/my_ns/my_table/00328-1642-5ce681a7-dfe3-4751-ab10-37d7e58de08a-00015.parquet

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

Octopai

JULY 19, 2020

All BI teams are capable of producing a data dictionary, whether they use data dictionary SQL tools or Excel, but manual methods, such as the creation of a spreadsheet, are less reliable and far more time-consuming than an automated data dictionary tool. Our blog post will help you figure it out! Take Me to the Blog Post.

Data Warehouse 81

Data Warehouse Metadata Reporting Enterprise 81

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. In this second installment of the Universal Data Distribution blog series, we will discuss a few different data distribution use cases and deep dive into one of them. .

Data Collection 94

Data Collection IoT Data Lake Unstructured Data 94

DataKitchen

MARCH 16, 2023

It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. However, it is not just the speed at which you can deploy some new SQL, a new data set, a new model, or another asset from development into production. It takes them too long to write SQL, python, or make a dashboard.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Sisense

SEPTEMBER 3, 2020

The distinction between all three categories can become blurred, for example if a business analyst also provides code for new business systems and applications. With strong technical abilities, database specialists are likely to be at ease with both SQL databases like MySQL and PostgreSQL, and NoSQL technologies such as MongoDB and Redis.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

NOVEMBER 18, 2022

Flink SQL does this and directs the results of whatever functions you apply to the data into a sink. Therefore, there are two common use cases for Hive tables with Flink SQL: A lookup table for enriching the data stream. Registering a Hive Catalog in SQL Stream Builder. id` VARCHAR(2147483647), `category` VARCHAR(2147483647).

Data Processing 59

Data Processing Advertising IT 59

Cloudera

JANUARY 3, 2019

On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. Our new Chief Product Officer Arun Murthy has a post up on the Hortonworks blog , explaining what the future holds in product strategy and development.

Machine Learning 75

Machine Learning IoT Data Warehouse Enterprise 75

AWS Big Data

MARCH 9, 2023

Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands. It contains different categories of columns: Keys – It contains two types of keys: customer_sk is the primary key of this table.

Slice and Dice 98

Slice and Dice Data Warehouse Metrics Metadata 98

Cloudera

APRIL 15, 2021

In this blog we will cover the new features in the 7.1.6 delivers benefits in the following categories: Better Upgrade Support . Supports both SQL and No SQL with 15 – 20% better throughput performance. appeared first on Cloudera Blog. and HDP 2.6.5. and HDP 2.6.5. CDP Private Cloud Base 7.1.6

Data Warehouse 70

Data Warehouse Cost-Benefit Management Data Processing 70

Cloudera

JUNE 1, 2021

And, the Enterprise Data Cloud category we invented is also growing. Future-proof, “no-code” connectors enable customers to extract data from a wide range of popular data sources, and multi-level transformations are automatically orchestrated using, just, SQL. The post Turning the page appeared first on Cloudera Blog.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Assumptions. In our data adventure we assume the following: . Company data exists in the data lake.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Domino Data Lab

MAY 1, 2019

I attended the machine learning meetup and reached out to Mawer for the permissions to excerpt Mawer’s work for this blog post. sql/ <- SQL source code ? ??? If you are interested in your data science work being covered in this blog series, please send us an email at content(at)dominodatalab(dot)com.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

Cloudera

MAY 18, 2021

SQL-driven Streaming App Development. SQL Stream Builder (part of CDF). SQL Stream Builder reduces time to develop streaming use cases using Cloudera Data Flow, by offering a familiar SQL-based query language (Continuous SQL) . Single-cloud visibility with Ambari. SDX and Cloudera Control Plane. Not available.

Cost-Benefit 86

Cost-Benefit Data-driven Machine Learning Data Warehouse 86

erwin

APRIL 27, 2022

This year Quest® (including erwin) is competing in 7 out of 29 product / solution categories: Best CDC Solution (Quest Shareplex). Concerned about meeting your personal data regulatory compliance responsibilities across your SQL Server estate? 2022 DBTA Reader’s Choice Awards appeared first on erwin Expert Blog.

Data Governance 52

Data Governance Data Warehouse Metadata Digital Transformation 52

Cloudera

FEBRUARY 9, 2021

Additionally, the real-time view is transparent for the front-end SQL. The business teams can embrace real-time with their most familiar SQL tools. The ‘category’ is the business partition column of the Hive ORC/Parquet table. Therefore, it’s more adopted by the ecosystem of BI tools and applications. Design Detail.

Data Warehouse 72

Data Warehouse Cost-Benefit Metadata Management 72

Jet Global

APRIL 30, 2019

While some functionality mirrors how it was done in Dynamics AX, there have been changes to how you create SQL Server Reporting Services (SSRS) reports, ad-hoc reports, and custom reports in D365FO. In this blog post, we are going to cover Data Entities. What is a Data Entity? General ledger). Reference (Ex. Tax Codes). Master (Ex.

Finance 73

Finance OLAP Reporting Data Warehouse 73

Occam's Razor

JULY 15, 2014

We need to create two categories of dashboards. For both categories, especially the valuable second kind of dashboards, we need words – lots of words and way fewer numbers. I do not think unwell of them, you''ll find plenty, what I now call CDPs, on this blog. I believe the solution is multi-fold (and when is it not? : )).

Dashboards 160

Dashboards Key Performance Indicator Snapshot Slice and Dice 160

BizAcuity

NOVEMBER 22, 2022

Snowpipe data ingestion might be too slow for three use categories: real-time personalization, operational analytics, and security. With AWS Glue and Snowflake, customers get the added benefit of Snowflake’s query pushdown, which automatically pushes Spark workloads, translated to SQL, into Snowflake. Real-Time Personalization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Cloudera

OCTOBER 17, 2023

This blog is for anyone who was interested but unable to attend the conference, or anyone interested in a quick summary of what happened there. The actual unveiling was a bit underwhelming as the SQL console left a lot to be desired, and outside of serverless auto-scaling functionality there was no “wow” factor.

Data-driven 79

Data-driven Enterprise IoT Data Warehouse 79

AWS Big Data

MARCH 1, 2024

End users access this data using third-party SQL clients and business intelligence tools. Technical Solution To implement customer needs for securing different categories of data, it requires the definition of multiple AWS IAM roles, which requires knowledge in IAM policies and maintaining those when permission boundary changes.

Data Lake 119

Data Lake Data Warehouse Management Risk 119

IBM Big Data Hub

MAY 12, 2023

A global fast-moving consumer goods (FMCG) enterprise needed to modernize its product portfolio, focusing on high-growth categories like pet care, coffee and consumer health.

Consulting 74

Consulting Cost-Benefit Dashboards Optimization 74

Cloudera

JUNE 8, 2021

McKinsey lists building capabilities for the workforce of the future as one of five categories of factors improving the chances of a successful digital transformation. The post Workforce competency key to digital transformation efforts, more possibilities available through Skillsfuture Singapore appeared first on Cloudera Blog.

Digital Transformation 58

Digital Transformation Cost-Benefit Data Strategy Finance 58

datapine

OCTOBER 10, 2019

Do they want to get more social reach on the blog posts your company is putting out? The vast majority of people who fall into this category are what is called color impaired. Do they care about helping their staff get more sales and leads? Are they hoping to manage customer support calls more effectively? of women are colorblind.

Dashboards 146

Dashboards Visualization Sales Metrics 146

Octopai

JULY 19, 2020

All BI teams are capable of producing a data dictionary, whether they use data dictionary SQL tools or Excel, but manual methods, such as the creation of a spreadsheet, are less reliable and far more time-consuming than an automated data dictionary tool. Our blog post will help you figure it out! Take Me to the Blog Post.

Data Warehouse 52

Data Warehouse Metadata Reporting Enterprise 52

Cloudera

SEPTEMBER 10, 2018

In this new blog series, we will take a closer look at some of the most innovative partners, and how the Cloudera platform is helping them deliver groundbreaking solutions to our customers. The post Cloudera Data Warehouse – A Partner Perspective appeared first on Cloudera Blog. Director of Products and Solutions, Arcadia Data.

Data Warehouse 43

Data Warehouse Unstructured Data Internet of Things Enterprise 43