Data Engineering Weekly

MARCH 26, 2023

” [link] Rittman Analytics: ChatGPT, Large Language Models and the Future of dbt and Analytics Consulting Very fascinating to read about the potential impact of LLM in the future of dbt and analytical consulting. The blog highlights that the job is not just writing SQL but providing a strategic business solution for an organization.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

ProjectPro

DECEMBER 7, 2021

And based on the business use cases, what happens inside the pipeline is decided. Modern cloud-based data pipelines are agile and elastic to automatically scale compute and storage resources. These services are available on demand, allowing companies to scale seamlessly based on the surge.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

SEPTEMBER 1, 2020

Imagine how many times IT has lost valuable time spending hours trying to understand Apache Solr application requirements and map them into how to best size and deploy the Solr service. It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. data best served through Apache Solr).

Cloud Storage 69

Cloud Storage Unstructured Data AWS Analytics Application 69

Rockset

APRIL 29, 2019

In this blog post I compare options for real-time analytics on DynamoDB - Elasticsearch , Athena, and Spark - in terms of ease of setup, maintenance, query capability, latency. There is limited support for SQL analytics with some of these options. I also evaluate which use cases each of them are best suited for.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Rockset

MAY 12, 2022

However, these databases tend to sacrifice support for complex SQL queries at any scale. This query optimization is something that all SQL databases excel at and do automatically. Writing a large amount of data slows down your reads, and vice-versa. That’s an effective, albeit expensive, overprovisioning strategy.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Knowledge Hut

JANUARY 19, 2024

This surge underscores the pivotal role data scientists play in guiding informed decisions, optimizing processes, and fostering innovation. Programming Languages Delving into programming languages such as R and Python, along with exposure to database languages like SQL. Using optimization for better decision-making.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Rockset

AUGUST 13, 2019

We’ll look at what it takes to build operational dashboards and reporting using standard data visualization tools, like Tableau , Grafana , Redash , and Apache Superset. If you are interested in crafting your own custom dashboard, read about Custom Live Dashboards on DynamoDB instead.

BI 40

BI NoSQL PostgreSQL AWS 40

ProjectPro

MARCH 7, 2016

Read below to find out which big data certification fits your needs and works best for your career goals. As a result, several eLearning organizations like ProjectPro, Coursera, Edupristine and Udacity are helping professionals update their skills on the widely demanded big data certifications like Hadoop, Spark, NoSQL, etc.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

MARCH 27, 2024

To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety. Apache Spark. Apache Storm. Apache SAMOA. As a result, cloud computing costs are also reduced by 50%. What Is Big Data Analytics?

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

JULY 18, 2023

To some, the word Apache may bring images of Native American tribes celebrated for their tenacity and adaptability. On the other hand, the term spark often brings to mind a tiny particle that, despite its size, can start a large fire. What is Apache Spark? Apache Spark components.

Big Data 52

Big Data Data Process Process Hadoop 52

Cloudera

FEBRUARY 8, 2024

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. 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. These tables are created as Iceberg tables.

Metadata 92

Metadata Data Warehouse BI AWS 92

ProjectPro

JULY 23, 2021

The migration process from an existing platform to an AWS-based solution is also easy—security, reliability, and ease of use are other attributes attached to AWS projects and applications. To develop a cost-effective mass-mailing platform, you can combine AWS Lambda with Simple Email Service, SES.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Monte Carlo

NOVEMBER 14, 2023

Does it feel colder in here or is it all this Apache Iceberg talk? Table of Contents What is Apache Iceberg? What are the advantages of Apache Iceberg tables? What are the disadvantages of Apache Iceberg tables? How data observability can increase data trust in Iceberg tables What is Apache Iceberg? Let’s dive in.

Data Lake 64

Data Lake Metadata Data Warehouse SQL 64

Rockset

MARCH 27, 2023

One additional note: while many stream processing platforms support declarative languages like SQL, they also support Java, Scala, or Python, which are appropriate for advanced use cases like machine learning. State stores can reside in memory, on disk, or in deep storage, and there is a latency / cost tradeoff for each.

Database 52

Database Process Scala SQL 52

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. This enables them to integrate Spark's performant parallel computing with normal Python unit testing. Is PySpark the same as Spark?

Hadoop 52

Hadoop Python Datasets Metadata 52

Cloudera

MARCH 23, 2022

What is Apache Iceberg? Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). 2: Open formats.

Metadata 92

Metadata Data Architecture BI Machine Learning 92

Netflix Tech

NOVEMBER 20, 2023

This not only reduces the cost of compute resources but also reduces the execution time in a significant manner. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. Users configure the workflow to read the data in a window (e.g.

Process 84

Process Data Pipeline Datasets SQL 84

Snowflake

NOVEMBER 2, 2023

Instead, we strive to help customers by providing a platform to build architectures based on what works in their organization, even if that changes over time. From the start, the Snowflake platform has been delivered as a service, consisting of optimized storage, elastic multi-cluster compute, and cloud services.

Data Lake 92

Data Lake Data Warehouse Cloud Unstructured Data 92

ProjectPro

FEBRUARY 8, 2023

Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. From identifying consumer trends and patterns to optimizing decision-making, big data has found its place in several industries. Do ETL and data integration activities seem complex to you?

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

AUGUST 25, 2023

At the same time, 81% of IT leaders say their C-suite has mandated no additional spending or a reduction of cloud costs. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. Teams using a data warehouse usually leverage SQL queries for analytics use cases.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. Apache Hadoop architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

NOVEMBER 19, 2023

Azure Data Engineer Tools encompass a set of services and tools within Microsoft Azure designed for data engineers to build, manage, and optimize data pipelines and analytics solutions. Let’s read about them in the next section. The Azure SQL data warehouse's newest version is this one.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Scott Logic

NOVEMBER 6, 2023

Spark) vs the older warehouse, an inability for BAs to find the data they need or even to know what data is available where, arguments over whether the data platform should be used in operational flows and frustrations when managers want real time insights but can’t get them. Regulatory reports need to be super accurate.

Data Lake 52

Data Lake Kafka BI Unstructured Data 52

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are maintained regularly.

Big Data 78

Big Data Data Management Management Metadata 78

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. This library is integrated by execution engines such as Impala, Hive and Spark.

Data Warehouse 83

Data Warehouse Metadata Java Data 83

Cloudera

OCTOBER 17, 2023

Five Takeaways from Current 2023: 1- The people have spoken and Apache Flink is the de facto standard for stream processing This may seem obvious to many who are already familiar with Flink, but it is worth pointing out. It makes perfect sense that Apache Flink has emerged as the standard. Expecting a product to be GA’d.

Database-centric 79

Database-centric Kafka Pipeline-centric Database 79

Data Engineering Weekly

DECEMBER 18, 2022

Today, the biggest reported revenue effects are found in marketing and sales, product and service development , and strategy and corporate finance, and respondents report the highest cost benefits from AI in supply chain management The tech talent shortage shows no sign of easing, threatening to slow that shift for some companies.

Data Engineering 52

Data Engineering Data Engineer Engineering Relational Database 52

Knowledge Hut

DECEMBER 26, 2023

Python is a popular, easily understood programming language with a vibrant, expanding user base. Data may be imported into Pandas from various file types, including Microsoft Excel, JSON, Parquet, SQL database tables, and comma-separated values. Python is simple and easy to read by design, making it simple to learn.

Data Science 92

Data Science Python Programming Language Portfolio 92

Monte Carlo

JUNE 14, 2023

Be sure to read to the end where we share 6 data pipeline architecture diagrams used by real data teams at companies like JetBlue, Fox Networks, Drata, and more. A well designed pipeline will meet use case requirements while being efficient from a maintenance and cost perspective. What is data pipeline architecture?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

AUGUST 24, 2021

Most recruiters look for real-world project experience and shortlist the resumes based on hands-on experience working on data engineering projects. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. A candidate's evaluation for data engineering jobs begins from the resume.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 15, 2021

” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

FEBRUARY 18, 2022

The transition to cloud-based software services and enhanced ETL pipelines can ease data processing for businesses. Then, create a data pipeline that uses Apache Hive and Druid to analyze the data. After that, you'll compare the results and use AWS Quicksight to visualize the data and explore hive optimization approaches.

Project 52

Project AWS Kafka Healthcare 52

Edureka

FEBRUARY 7, 2023

It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. Data entry into PDW is optimized by Polybase, which also supports T-SQL. Users can change the level of masking to suit their needs.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

JANUARY 31, 2023

Big data analytics analyzes structured and unstructured data to generate meaningful insights based on changing market trends, hidden patterns, and correlations. Also, you will find some interesting big data interview questions based on top companies such as TCS, Cognizant, and Accenture. So, let’s dive in!

Big Data 52

Big Data Hadoop AWS Relational Database 52

Monte Carlo

FEBRUARY 15, 2023

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. The cost of running these queries is very high due to the lack of query optimization. Cloud data warehouses solve these problems. They need to be transformed.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up. About 31% of the queries, spread out across the first three buckets, read from 0 to 100 rows. Query Planner Design.

Metadata 144

Metadata Coding SQL Database 144

U-Next

OCTOBER 25, 2022

In data manipulation, data is organized in a way that makes it easier to read, or that makes it more visually appealing, or that makes it more structured. The attackers falsify the data analysis of operators with targeted bot requests, causing them to make decisions that are not based on reality. . What Is Data Manipulation? .

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data Analysis 40