AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Data Warehouse in DBMS: . What is Data Lake? .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Monte Carlo

JANUARY 23, 2023

When it comes to the data community, there’s always a debate broiling about something— and right now “data mesh vs data lake” is right at the top of that list. In this post we compare and contrast the data mesh vs data lake to illustrate the benefits of each and help discover what’s right for your data platform.

Data Lake 52

Data Lake Unstructured Data Business Intelligence Architecture 52

Monte Carlo

AUGUST 25, 2023

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. Different vendors offering data warehouses, data lakes, and now data lakehouses all offer their own distinct advantages and disadvantages for data teams to consider.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Data Engineering Podcast

DECEMBER 29, 2022

Rehgan Avon co-founded AlignAI to help address this challenge through a more purposeful platform designed to collect and distribute the knowledge of how and why data is used in a business. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines.

Management 130

Management Metadata Business Intelligence Data Lake 130

Advancing Analytics: Data Engineering

JULY 2, 2019

It’s not always the most accurate indicator, but a quick glance at google trends sees Data Engineer rocketing in popularity, compared to more traditional functions such as BI and ETL Developer: google trends Now, that’s not saying that the other roles are going away, not by a long stretch.

Business Intelligence 52

Business Intelligence Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

DECEMBER 18, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

JANUARY 15, 2023

Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box. ML pipelines, data sharing, etc.)

Coding 130

Coding Building PostgreSQL Data Lake 130

Data Engineering Podcast

JANUARY 8, 2023

Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box. SQL has traditionally been challenging to compose.

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

Data Engineering Podcast

MAY 22, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake. Stop struggling to speed up your data lake.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries.

Data Process 100

Data Process Process Metadata Business Intelligence 100

Towards Data Science

DECEMBER 4, 2023

In today’s Formula 1, data is at the core, way more than it was 20 or 30 years back. Racing teams are improving performance with a phenomenal data-driven approach, making improvements millisecond by millisecond. Very High Level Design It’s not only about the lap time; Formula 1 is a multi-billion-dollar business.

Data Engineering 84

Data Engineering Data Engineer Engineering Data Lake 84

Rockset

FEBRUARY 9, 2021

Athena is a serverless query service provided by Amazon to query the data stored in Amazon S3 using standard SQL. When it’s time to run that query, the data is fetched from S3. Once the result is available, it is uploaded back to S3, in the designated path, where the application can finally access the result.

Data Lake 40

Data Lake Business Intelligence SQL Datasets 40

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 92

Data Lake Data Warehouse BI SQL 92

Knowledge Hut

DECEMBER 22, 2023

Power BI is a technology-driven business intelligence tool or an array of software services, apps, and connectors to convert unrelated and raw data into visually immersive, coherent, actionable, and interactive insights and information. The Windows Store has Power BI Desktop, which Windows 10 users can get from.

BI 98

BI Business Intelligence Machine Learning SQL 98

Data Engineering Podcast

DECEMBER 25, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Building 100

Building Metadata Business Intelligence Data Lake 100

Data Engineering Podcast

MAY 8, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake.

Database 100

Database Data Lake BI Business Intelligence 100

RandomTrees

NOVEMBER 29, 2023

Here the practice of data warehousing and warehouse system is very important and the use of right modelling techniques has become a very important factor in todays’ competitive world. In this choice, Big Data will play an important role and its choice is also inevitably crucial in the Business Intelligence and related systems.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

ThoughtSpot

SEPTEMBER 6, 2023

The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. And even when we manage to streamline the data workflow, those insights aren’t always accessible to users unfamiliar with antiquated business intelligence tools.

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

Data Engineering Podcast

SEPTEMBER 11, 2022

In this episode he shares the design of the project and how it fits into your development practices. Interview Introduction How did you get involved in the area of data management? How does the garbage in/garbage out problem manifest in data warehouse/data lake environments? How is the Schemata utility implemented?

Systems 100

Systems Metadata Building MongoDB 100

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer in the Data Science team is responsible for this sort of data manipulation. Big Data is a part of this umbrella term, which encompasses Data Warehousing and Business Intelligence as well. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Data Engineering Podcast

DECEMBER 11, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! How does the design of Unomi reduce that burden?

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Data warehouse vs data lake vs data lakehouse: What’s the difference.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

OCTOBER 30, 2023

For any organization to grow, it requires business intelligence reports and data to offer insights to aid in decision-making. This data and reports are generated and developed by Power BI developers. A power BI developer has a crucial role in business management. The answer to this is simple.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Data Engineering Podcast

DECEMBER 4, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! What are some of the difficulties that are specific to data oriented roles?

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Data Engineering Podcast

OCTOBER 28, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! What are the complexities that data engineers encounter when building pipelines on streaming systems?

Data Pipeline 100

Data Pipeline SQL Data Warehouse Data Lake 100

Data Engineering Podcast

APRIL 24, 2022

Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. How does that focus inform the design and priorities of functionality in the product?

Data Warehouse 100

Data Warehouse Data Lake Data Pipeline BI 100

Data Engineering Podcast

MAY 1, 2022

Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. How have the design and goals of the system changed since you started working on it?

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Towards Data Science ). Forrester ).

Data Architecture 78

Data Architecture Architecture Data Lake NoSQL 78

Monte Carlo

JULY 19, 2023

In this article, we’ll present you with the Five Layer Data Stack—a model for platform development consisting of five critical tools that will not only allow you to maximize impact but empower you to grow with the needs of your organization. Before you can model the data for your stakeholders, you need a place to collect and store it.

Building 96

Building Business Intelligence Cloud Storage BI 96

Data Engineering Podcast

DECEMBER 19, 2021

The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data. In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines.

Systems 100

Systems Building Metadata Data Warehouse 100

Data Engineering Podcast

SEPTEMBER 4, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. platform design, pipeline design, data usage, etc.)

IT 100

IT Metadata MongoDB MySQL 100

Monte Carlo

JUNE 26, 2023

Over the past decade, Databricks and Apache Spark™ not only revolutionized how organizations store and process their data, but they also expanded what’s possible for data teams by operationalizing data lakes at an unprecedented scale across nearly infinite use cases. billion in 2020 to $17.6

Data Lake 52

Data Lake Metadata Bytes Google Cloud 52