Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

DataOps 52

DataOps Data Observability ML ML 52

Precisely

AUGUST 3, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data program successes, challenges, influences, and more.

DataOps 98

DataOps Data Quality Analytics Analytics 98

Precisely

FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success. That approach assumes that good data quality will be self-sustaining.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Alation

MAY 31, 2023

This year’s DGIQ West will host tutorials, workshops, seminars, general conference sessions, and case studies for global data leaders. DGIQ is June 5-9, 2023, at the Catamaran Resort Hotel and Spa in San Diego, just steps away from the Mission Bay beach. You can learn more about the event and register here.

Data Governance 52

Data Governance DataOps Data Pipeline Business Intelligence 52

Precisely

JUNE 26, 2023

This digital boom raised the stakes for cyber security and data privacy – and it’s easy to see why. Data theft, leaks, and breaches will cost companies an estimated $8 trillion in 2023. Regulatory and consumer scrutiny with respect to how companies manage personal data is on the rise. The biggest surprise?

Data Quality 52

Data Quality Data Silos Analytics Analytics 52

Precisely

SEPTEMBER 18, 2023

Regardless of your industry or role in the business, data has a massive role to play – from operations managers who rely on downstream analytics for important business decisions, to executives who want an overview of how the company is performing for key stakeholders. Trusted data is crucial, and data observability makes it possible.

Data Observability 52

Data Observability Data Quality Data Pipeline DataOps 52

phData

MAY 7, 2025

append() print("Step 2: Inserted 10 records (Snapshot s1)") # Step 3: Insert another 10 records (Snapshot s2) df_s2 = spark.createDataFrame([ Row(order_id=f"ORD01{i}", customer_id=f"CUST11{i}", location="Bangalore", order_date="2023-01-03", shipment_date="2023-01-04", delivery_date="2023-01-07") for i in range(1, 11) ]).withColumn("order_date",

DataOps 52

DataOps AWS SQL Data Engineering 52