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

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. In this post, we walk you through a solution that automates the migration from HiveQL to Spark SQL. Generate Spark SQL metadata Our batch job consists of Hive steps scheduled to run sequentially.

Metadata 76

Metadata Testing Data Lake Consulting 76

Cloudera

FEBRUARY 22, 2023

Cloudera’s SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL. As apart of Cloudera Streaming Analytics it enables users to easily write, run, and manage real-time SQL queries on streams with a smooth user experience, while it attempts to expose the full power of Apache Flink.

Broadcasting 81

Broadcasting Testing IT Analytics 81

O'Reilly on Data

JUNE 27, 2023

When a person clicked “submit,” the website would pass that form data through some backend code to process it—thereby sending an e-mail, creating an order, or storing a record in a database. With a SQL injection attack, you can “escape” certain characters so that the database doesn’t give them special treatment.

Risk Management 224

Risk Management Risk Management Modeling 224

AWS Big Data

APRIL 24, 2024

EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug analytics applications written in PySpark, Python, and Scala. Now you can use a dataset and visualize your data. parquet" taxi_df = (spark.read.format("parquet").option("header",

Interactive 95

Interactive Visualization Big Data Management 95

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. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 79

Visualization Metadata Testing Internet of Things 79

Smart Data Collective

FEBRUARY 23, 2022

There are a lot of benefits of data scalability. The size and the variety of data that enterprises have to deal with have become more complex and larger. Traditional relational databases provide certain benefits, but they are not suitable to handle big and various data. Both combined, you use SQL to query what’s stored in S3.

Data Lake 96

Data Lake Cost-Benefit Optimization Big Data 96

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

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 89

Data Warehouse Data-driven Machine Learning B2B 89

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. The scope should contain inputs and data points on the current architecture as well as the target architecture.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

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

BA Learnings

JANUARY 23, 2024

Being a business analyst is a journey filled with challenges and triumphs, where the treasure is not just data but insights that transform businesses. Analytical Acumen: Seeing The Forest And The Trees As a BA, your analytical skills can be compared to a finely-tuned compass, guiding stakeholders through the forest of data.

Business Analysis 130

Business Analysis Uncertainty Reporting Management 130

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 106

Optimization Snapshot Data Lake Metadata 106

IBM Big Data Hub

MARCH 27, 2024

EclipseStore, a groundbreaking data storage platform from MicroStream , is revolutionizing the development of cutting-edge software applications. Programming languages like Java have incompatible object models with today’s database-specific data structures and formats. Simple implementation that enables faster time-to-market.

Cost-Benefit 104

Cost-Benefit Data Processing Optimization Modeling 104

CIO Business Intelligence

OCTOBER 1, 2022

His remarks came during an episode of Google Cloud’s podcast series “The Principles of a Cloud Data Strategy.”. The problem, Favelin says, is organizations have deployed non-relational or no-SQL databases as “band aids to compensate for the shortcomings of legacy databases.”. “So

Data Strategy 97

Data Strategy Strategy Technology Analytics 97

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

DataKitchen

DECEMBER 29, 2022

The Terms and Conditions of a Data Contract are Automated Production Data Tests. A data contract is a formal agreement between two parties that defines the structure and format of data that will be exchanged between them. Another benefit of data contracts is that they allow for easier maintenance and updates.

Testing 130

Testing Statistics Data Quality Data Integration 130

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. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 131

Machine Learning Data Science Management Enterprise 131

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Sisense

APRIL 24, 2019

In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. Those practices should be applied when optimizing SQL queries , including: Identifying relevant stakeholders. Inefficient: SELECT *.

Sales 111

Sales Optimization Data Warehouse Reporting 111

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

Sisense

JULY 2, 2020

Many modern businesses choose cloud warehouse services like Google BigQuery or Amazon Redshift to consolidate their data storage and analysis. These services offer the ability to store huge data volumes and process them quickly with massive parallel processing. To replicate your data this way, the first step is to register on Skyvia.

Data Warehouse 98

Data Warehouse Data Integration Software Marketing 98

Data Science 101

NOVEMBER 29, 2019

In the United States, it is a holiday week, so the news is pretty limited from many of the big cloud providers. Sign Up for the Cloud Data Science Newsletter. Sign Up for the Cloud Data Science Newsletter. Preparing and Curating your data for Machine Learning A great video from Google. We will have to wait and see.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

IBM Big Data Hub

OCTOBER 18, 2023

On December 5–6, 2023 at the Computer History Museum in Mountain View, CA, hundreds of developers and software engineers will come together at PrestoCon 2023 to support and learn more about Presto, the open-source SQL query engine for data analytics and the Open Data Lakehouse.

Statistics 94

Statistics Software Data Analytics Analytics 94

AWS Big Data

NOVEMBER 17, 2023

Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

Optimization 108

Optimization Statistics Metadata Data Lake 108

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

SEPTEMBER 5, 2022

I think the first red flag was the age of the equipment in our primary and secondary data centers. For example, Microsoft has quite heavy restrictions on using perpetual license software in the cloud, specifically SQL Server. We tried to make do with the limitations but it got to a point where it just wasn’t working.

Data Processing 98

Data Processing Digital Transformation Finance Consulting 98

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3).

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

Cloudera

AUGUST 10, 2021

We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. . Enhanced analytic features that deliver faster SQL queries and ETL with Hive on Tez and Impala, improved Spark with support for Spark 3.1

Metadata 96

Metadata Sales Statistics Management 96

AWS Big Data

MARCH 23, 2023

We recently announced support for AWS Lake Formation fine-grained access control policies in Amazon Athena queries for data stored in any supported file format using table formats such as Apache Iceberg, Apache Hudi and Apache Hive. Lake Formation provides an authorization and governance layer on data stored in Amazon S3.

Interactive 66

Interactive Snapshot Data Lake Software 66

Cloudera

AUGUST 3, 2022

That’s why we are excited to introduce Spark Secure Access , a new security feature for Apache Spark in the Cloudera Data Platform (CDP), that adheres to all security policies without resorting to 3rd party tools. Within CDP, Shared Data Experience (SDX) provides centralized governance, security, cataloging, and lineage. df.show().

Snapshot 84

Snapshot Cost-Benefit Machine Learning Data Transformation 84

AWS Big Data

DECEMBER 12, 2023

As data engineering becomes increasingly complex, organizations are looking for new ways to streamline their data processing workflows. Many data engineers today use Apache Airflow to build, schedule, and monitor their data pipelines. You can use standard SQL to interact with data.

Data Processing 85

Data Processing Management Statistics Interactive 85

Paul Blogs on BI

SEPTEMBER 8, 2022

All tables in PBI have at least some data whether they are imported or direct query. Every table in PBI has to be written in freehand SQL because there are no aggregate functions and because there is no way to limit which columns to use from the table in the model. In a BusinessObjects universe there is just metadata.

Metadata 52

Metadata Reporting Modeling Business Objectives 52

Sisense

AUGUST 18, 2019

Constraints and Limitations Native JSON Data Stores Performance Use Cases and Factors. When you get down to it, this is precisely the debate that rages among data scientists when it comes to PostgreSQL vs. MongoDB, and the right kind of storage for JSON data. It also supports hierarchical documentation of data.

Unstructured Data 81

Unstructured Data Data Processing Dashboards Testing 81

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

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. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. AWS Glue 3.0

Data Lake 114

Data Lake Data Processing Metadata Snapshot 114

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