AWS Big Data

JANUARY 24, 2024

In this post, we show you how to use Spark SQL in Amazon Athena notebooks and work with Iceberg, Hudi, and Delta Lake table formats. We demonstrate common operations such as creating databases and tables, inserting data into the tables, querying data, and looking at snapshots of the tables in Amazon S3 using Spark SQL in Athena.

Snapshot 97

Snapshot Data Lake Metadata Optimization 97

Cloudera

JUNE 7, 2021

At the end of March, we released the first version of Cloudera SQL StreamBuilder as part of CSA 1.3. It enabled users to easily write, run and manage real-time SQL queries on streams from Apache Kafka with an exceptionally smooth user experience. . Flink SQL DDL and Catalog support. Flink SQL DDL Support.

Analytics 106

Analytics Management IT 106

Sisense

JANUARY 7, 2020

SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. The SQL order of execution defines the order in which the clauses of a query are evaluated. Creating order. WHERE Clause.

Optimization 104

Optimization IT 104

AWS Big Data

APRIL 29, 2024

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).

Management 93

Management Big Data Metadata Data Warehouse 93

IBM Big Data Hub

OCTOBER 4, 2023

Watsonx.data is engineered to use Intel’s built-in accelerators and open-source query engines such as Presto to deliver rapid and reliable data processing for high performance SQL querying, reporting, business intelligence, and machine learning.

Optimization 107

Optimization Machine Learning Business Intelligence Reporting 107

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Data Warehouse 74

Data Warehouse Data Processing Optimization Modeling 74

IBM Big Data Hub

MAY 31, 2023

Presto is an open-source, fast and reliable SQL query engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. Anyone who wants to learn how some of the world’s largest companies are using Presto to power their data lakehouses at scale is encouraged to attend.

Advertising 91

Advertising Optimization Data Analytics Reporting 91

AWS Big Data

SEPTEMBER 26, 2023

This allows a double-blind join to be performed against both tables in AWS Clean Rooms. Associate the configured tables, define the analysis rules, and collaborate with privacy-enhancing controls joining between the Experian LUID encodings using the match table. Any participant can create an AWS Clean Rooms collaboration.

Advertising 75

Advertising Data-driven Marketing Interactive 75

Cloudera

JULY 18, 2022

In this blog we will explore how we can use Apache Flink to get insights from data at a lightning-fast speed, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). The streaming SQL job also saves the fraud detections to the Kudu database.

Analytics 91

Analytics Dashboards Statistics Visualization 91

Sisense

JANUARY 25, 2020

SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. Joining Our Table To Numbers. To do that, let’s join the numbers table to our original dashboards table.

Dashboards 92

Dashboards IT 92

AWS Big Data

OCTOBER 26, 2023

Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies. They can both be joined by the TransactionID column.

Modeling 63

Modeling Data Warehouse Machine Learning Testing 63

IBM Big Data Hub

APRIL 29, 2024

Krishna Maheshwari from NeuroBlade highlighted their collaboration with the Velox community, introducing NeuroBlade’s SPU (SQL Processing Unit) and its transformative impact on Velox’s computational speed and efficiency. He shared insights into Velox Wave and Accelerators, showcasing its potential for acceleration.

Management 70

Management Optimization Data Processing Metrics 70

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. In-context learning LLMs are trained with point-in-time data and have no inherent ability to access fresh data at inference time. The following diagram illustrates a basic in-context learning workflow.

Data Lake 87

Data Lake Unstructured Data Management Modeling 87

Sisense

APRIL 2, 2020

Tools of the Trade is your destination for data and analytics skill building: From dashboards and reports to embedding analytics and building custom analytic apps to SQL secrets and data deep-dives, whatever you need to know to be better at your job, you can find it here. 4 Ways to Join Only The First Row in SQL.

Data Warehouse 83

Data Warehouse Big Data Testing Software 83

AWS Big Data

MARCH 27, 2023

In this workflow, data is written to Amazon S3 through the Confluent S3 sink connector and then analyzed with Athena, a serverless interactive analytics service that enables you to analyze and query data stored in Amazon S3 and various other data sources using standard SQL. Aggregation We can use standard SQL functions to aggregate the data.

Visualization 72

Visualization Data Lake Interactive Data-driven 72

AWS Big Data

JUNE 23, 2023

Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, straightforward to use, and makes it simple for anyone with SQL skills to quickly analyze large-scale datasets in multiple Regions. The following code provides a SQL example for a view creation.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

erwin

OCTOBER 17, 2022

Whether you’re new to erwin ® by Quest ® , or you’re a loyal user of our industry-leading solutions, you’ll benefit from learning how to maximize the business value of your data. In his signature fun and educational style, Brent will show you how to successfully migrate to the cloud with a roadmap for SQL Server databases.

Data Governance 52

Data Governance Cost-Benefit Data-driven Data Quality 52

AWS Big Data

DECEMBER 13, 2023

Data transform join – This is one of the submodules of the data transform module that can perform joins between the datasets using a custom SQL based on the metadata configuration. AWS Glue Studio provides the native SQL query visual transform, where a custom SQL query can be used to transform the source data.

Metadata 85

Metadata Data Lake Visualization Data Transformation 85

CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Warehouses are vertically integrated for SQL Analytics, whereas Lakes prioritize flexibility of analytic methods beyond SQL. Iterations of the lakehouse.

Data Lake 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Warehouses are vertically integrated for SQL Analytics, whereas Lakes prioritize flexibility of analytic methods beyond SQL. Iterations of the lakehouse.

Data Lake 93

Data Lake Data Warehouse Machine Learning Cost-Benefit 93

IBM Big Data Hub

SEPTEMBER 29, 2023

Streams of events need to be processed—by applying operations like filtering, aggregating, transforming or joining with other streams of events — to define a time-sensitive scenario that the business needs to detect. View the webinar to learn more about unlocking the value of transaction data flowing across your organization.

Data-driven 110

Data-driven Uncertainty Cost-Benefit Marketing 110

AWS Big Data

AUGUST 16, 2023

We then use the ADA Query Workbench to join the separate datasets and query the correlated data, using familiar Structured Query Language (SQL), to gain insights. With the ADA Query Workbench, you can query the ingested data using plain SQL for application troubleshooting or issue diagnosis.

Data Analytics 72

Data Analytics Analytics Visualization Software 72

AWS Big Data

NOVEMBER 28, 2023

Through customer feedback, we learned that lot of undifferentiated time and resources go towards building and managing ETL pipelines between transactional databases and data warehouses. Sunil Senan, SVP and Global Head of Data, Analytics, and AI, Infosys To learn more, see Aurora Docs , Amazon Redshift Docs , and the AWS News Blog.

Data Warehouse 90

Data Warehouse Data-driven Machine Learning B2B 90

Sisense

OCTOBER 15, 2020

As real-time analytics and machine learning stream processing are growing rapidly, they introduce a new set of technological and conceptual challenges. Operations like API calls, joins, and aggregations that used to run every few minutes/hours now need to run many times per second. Feel free to explore your data now.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

FEBRUARY 1, 2024

Note that streaming materialized views differs from regular materialized views in terms of how auto refresh works and the data management SQL commands used. Refer to Using the Amazon Redshift data source to learn about how to configure Amazon Redshift as a data source for Grafana. The query to generate this chart processes 3.6

Data Warehouse 120

Data Warehouse Dashboards Risk Management Risk 120

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Configuration: F irst, HBase and Spark need to be configured together for Spark SQL queries to work properly. Introduction. Python 3 is installed on each node at the same path.

Machine Learning 133

Machine Learning Data Science Management Enterprise 133

Smart Data Collective

OCTOBER 11, 2021

You’ll need to be very acquainted with SQL, a foundational programming language in the realm of data science, and be at least somewhat familiar with other languages and frameworks like Python, Spark, and Kafka. Join hackathons, groups, and other networking opportunities. Get involved with the community and start networking.

Data mining 115

Data mining Data Science Software Machine Learning 115

AWS Big Data

SEPTEMBER 18, 2023

You can learn more in User actions. The output of the CodeWhisperer recommendation will appear in the next line and the code is chosen after you press Tab. After you enter the preceding comment, CodeWhisperer will generate a code snippet that is similar to the following: df = (spark.read.format("csv").option("header", cjwjn5pzxbhx.us-east-1.redshift.amazonaws.com:5439/

Data Integration 93

Data Integration Big Data Interactive Software 93

Cloudera

JUNE 28, 2022

In part two we will explore how we can run real-time streaming analytics using Apache Flink, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). The streaming SQL job also saves the fraud detections to the Kudu database.

Dashboards 85

Dashboards Machine Learning Statistics KPI 85

Smart Data Collective

MARCH 27, 2023

Join the data revolution and secure a competitive edge for businesses vying for supremacy. Data Scientists and Analysts use various tools such as machine learning algorithms, statistical modeling, natural language processing (NLP), and predictive analytics to identify trends, uncover opportunities for improvement, and make better decisions.

Data Science 93

Data Science Statistics Data-driven Machine Learning 93

erwin

OCTOBER 4, 2022

You can look forward to sessions with everyone’s favorite database experts: Microsoft Certified Master Brent Ozar and Pinal Dave, the creator of SQL Authority. And if this is your first time joining them, you’re in for a good time. He’ll show you how to achieve cost-effective SQL Server performance tuning in the cloud.

Data-driven 52

Data-driven Strategy Management Optimization 52

Cloudera

JANUARY 13, 2021

In this installment, we’ll discuss how to do Get/Scan Operations and utilize PySpark SQL. Executing table.show() will give you: There’s a limited amount of filtering you can do with catalogs itself, and the best way to perform get and scan operations is through PySpark SQL which will be discussed later. Read the first blog here.

Machine Learning 52

Machine Learning Data Science Modeling IT 52

AWS Big Data

JULY 28, 2023

You can use Athena to run SQL queries on petabytes of data stored on Amazon Simple Storage Service (Amazon S3) in widely used formats such as Parquet and open-table formats like Apache Iceberg, Apache Hudi, and Delta Lake. In Athena, we refer to queries on non-Amazon S3 data sources as federated queries. Pathik Shah is a Sr.

Big Data 76

Big Data Data Architecture Data Lake Interactive 76

Alation

JUNE 30, 2021

Artificial intelligence and machine learning (AI & ML) are embedded in the platform to support user friendliness, as well. Intelligent SQL Editor. This means users can see the most-used datasets, common joins, and compliance guidance as they write a SQL query. Criteria: How Do They Score Vendors? Big Things Ahead.

Reporting 52

Reporting Metadata Data-driven Marketing 52

Cloudera

JULY 21, 2022

Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler. An independent benchmark shows that combining Druid and Hive can result in up to 190x faster queries without sacrificing the power of Hive for complex analytical queries that involve joins. Joins and subqueries . Apache Hive.

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

erwin

SEPTEMBER 5, 2022

Further imagine that you also skip the model verification report before creating the database SQL from erwin. Well, any join between the parent and child tables would most likely not be able to leverage FK indexes due to the potential implicit data type conversions required. So, the performance of the joins was horrible.

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

erwin

AUGUST 15, 2022

Machine Learning. Thus, many traditional relational databases like Oracle and Microsoft SQL Server may not be the best choice for such a highly specific and demanding need. Join an erwin user group. Meet with fellow erwin users and learn how to use our solutions efficiently and strategically. Join a group today.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52