datapine

APRIL 8, 2020

No matter if your company is small or large, there is a great chance that you’ve been using SQL as the tool to-go when it comes to managing and extracting value from your database. The good news is that you can utilize both with the help of a modern and professional SQL dashboard. What Is A SQL Dashboard?

Dashboards 209

Dashboards Software Visualization Sales 209

IBM Big Data Hub

OCTOBER 16, 2023

In addition, real-time monitoring helps to comply with SLAs, reduce risks and safeguard your operations. Resource allocation can then be managed by optimizing efficiency and eliminating waste. You can ensure optimal resource allocation and discover any irregularities or spikes that may impair performance by analyzing CPU utilization.

Risk 73

Risk Optimization Interactive Management 73

AWS Big Data

MARCH 22, 2024

Trino is an open source distributed SQL query engine designed for interactive analytic workloads. When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. with open source Trino 426 and show that TPC-DS queries ran up to 2.7

Metadata 86

Metadata Statistics Broadcasting Optimization 86

KDnuggets

JUNE 14, 2023

GPT4All is the Local ChatGPT for your Documents and it is Free! Falcon LLM: The New King of Open-Source LLMs • Getting Started with ReactPy • Mastering the Art of Data Storytelling: A Guide for Data Scientists • How to Optimize SQL Queries for Faster Data Retrieval

Optimization 91

Optimization IT 91

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 105

Optimization Snapshot Data Lake Metadata 105

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. Watsonx.data is designed with multiple open-source query engines, including Presto and Spark, that can optimize workload costs and performance at scale.

Advertising 90

Advertising Optimization Data Analytics Reporting 90

AWS Big Data

APRIL 25, 2024

However, as data volumes continue to grow, optimizing data layout and organization becomes crucial for efficient querying and analysis. One of the key challenges in data lakes is the potential for slow query performance, especially when dealing with large datasets. This is where bucketing comes into play.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! This simple statement captures the essence of almost 10 years of SQL development with modern data warehousing.

Visualization 110

Visualization Optimization Unstructured Data Dashboards 110

AWS Big Data

APRIL 29, 2024

After a few minutes, you’ll have a fully functional big data environment with robust security management ready for your analytical workloads, as shown in the following screenshot. On the AWS web console, find the name of your EKS cluster. The following screenshot shows an example of Spark SQL (running on IDE) with privileges denied.

Management 92

Management Big Data Metadata Data Warehouse 92

AWS Big Data

MARCH 18, 2024

Apache Flink supports multiple programming languages, Java, Python, Scala, SQL, and multiple APIs with different level of abstraction, which can be used interchangeably in the same application. This new connector supports SQL and Table APIs , working with both Java and Python, and the DataStream API , for Java only.

Management 95

Management Snapshot Broadcasting Optimization 95

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. This combination of services allows you to conduct data analysis on your transactional data lake while ensuring secure and controlled access.

Data Lake 89

Data Lake Snapshot Big Data Data-driven 89

Cloudera

OCTOBER 5, 2023

In this blog, we will delve deeper into the insight Cloudera Observability brings to queries executed on Hive. Among other capabilities, Cloudera Observability delivers comprehensive features to troubleshoot and optimize Hive queries. An essential goal for a Hive SQL developer is ensuring that queries run efficiently.

Metrics 77

Metrics Optimization IT Analytics 77

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.

Optimization 104

Optimization IT 104

Smart Data Collective

FEBRUARY 23, 2022

AWS Athena is a query service that allows users to analyze data in S3 using standard SQL syntax. Both combined, you use SQL to query what’s stored in S3. When you use Athena, the computation resources to run your queries are not something you can control. AWS Athena and S3. Limits of Athena.

Data Lake 99

Data Lake Cost-Benefit Optimization Big Data 99

Smart Data Collective

APRIL 14, 2021

The only way to reach your business goals is to have access to insight into your business. Business intelligence tools empower your business decision-making process by combining different sets of data. This makes it easier for you to draw clear conclusions about the most common issues and pain points for your clients.

Business Intelligence 134

Business Intelligence Dashboards Visualization Big Data 134

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. you can use Iceberg with your EMR cluster without requiring a bootstrap action. In real use case, it would be raw data stored in your S3 bucket. AWS Glue 3.0

Data Lake 113

Data Lake Data Processing Metadata Snapshot 113

AWS Big Data

FEBRUARY 16, 2024

Amazon Redshift Spectrum enables you to run Amazon Redshift SQL queries on data stored in Amazon S3. With a provisioned Redshift data warehouse, Redshift Spectrum compute capacity runs from separate dedicated Redshift servers owned by Amazon Redshift that are independent of your Redshift cluster.

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

AWS Big Data

NOVEMBER 10, 2023

Amazon Redshift offers seamless integration with Apache Spark, allowing you to easily access your Redshift data on both Amazon Redshift provisioned clusters and Amazon Redshift Serverless. Additionally, you’ll benefit from performance improvements through pushdown optimizations, further enhancing the efficiency of your operations.

Data Processing 89

Data Processing Data Lake Data Warehouse Optimization 89

Smart Data Collective

JUNE 15, 2021

MB of data per second , and with each click, swipe, view, purchase, and shipment, your business collects more information on its customers that you can use to help manage your business more efficiently and drive more revenue. However, what do you do if your Looker is running slowly or regularly struggling with performance issues?

Data Warehouse 96

Data Warehouse Dashboards Optimization Metrics 96

AWS Big Data

APRIL 19, 2023

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. You can also use this solution to develop new jobs with Spark SQL and process them on Amazon EMR.

Metadata 76

Metadata Testing Data Lake Consulting 76

Cloudera

JULY 16, 2021

Today, we are pleased to announce the general availability of HPL/SQL integration in CDW public cloud. You can now define Hive stored procedures using the HPL/SQL to perform a set of SQL statements (DDLs & DMLs), control-of-flow language. These Hive stored procedures are stored in the Hive MetaStore (HMS).

Data Warehouse 117

Data Warehouse Data Processing Management Testing 117

AWS Big Data

NOVEMBER 17, 2023

Managing the SQL files, integrating cross-team work, incorporating all software engineering principles, and importing external utilities can be a time-consuming task that requires complex design and lots of preparation. In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift.

Snapshot 87

Snapshot Data Processing Testing Data Warehouse 87

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and create, run, and monitor data integration pipelines to load data into your data lakes and your data warehouses.

Testing 73

Testing Data Lake Cost-Benefit Data Integration 73

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. This will be your OLTP data store for transactional data. version cluster.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

Cloudera

JULY 18, 2023

In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. But let’s face it, navigating the world of any SQL engine is a daunting task, and Hive is no exception. Which users are executing the most queries? How many queries failed?

Metrics 75

Metrics Optimization Dashboards Big Data 75

Cloudera

MAY 9, 2022

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications. Tuning Guidelines.

Optimization 117

Optimization Testing Cost-Benefit Measurement 117

erwin

MAY 14, 2021

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Comparing SQL and NoSQL. While it may not be the most exciting match up, there’s much to be said when comparing SQL vs NoSQL databases.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Automotive: Monitoring connected, autonomous cars in real time to optimize routes to avoid traffic and for diagnosis of mechanical issues. Optimizing object storage.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

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

Cloudera

JUNE 26, 2023

It is also common to then turn those Impala queries into ETL-style production pipelines instead of refining them using Hive or Spark ETL tools as best practices dictate. HBase provides the data format suited for transactional needs, Phoenix supplies the SQL interface, and SOLr enables index based search capability.

Testing 78

Testing Data Processing Visualization Data Science 78

AWS Big Data

JANUARY 24, 2023

Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results. Query updates can be completed in an organized manner and maintenance has minimal overhead. The Data API is asynchronous, so you can retrieve your results later.

Analytics 57

Analytics Data-driven Management Reporting 57

AWS Big Data

MARCH 18, 2024

In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. You can consolidate your analytics workflows, reducing the need for extensive tooling and infrastructure management.

Data Lake 97

Data Lake Analytics Cost-Benefit Management 97

AWS Big Data

MARCH 10, 2023

You can simplify your data strategy by running multiple workloads and applications on the same data in the same location. We provide an example for data ingestion and querying using an ecommerce sales data lake. Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. In this post, we show how you can migrate your existing SQL-based ETL workload to AWS Glue using Spark SQL , which minimizes the refactoring effort.

Sales 52

Sales Data Warehouse Visualization Testing 52